WO2007049499A1

WO2007049499A1 - Information recording apparatus, information recording method, information recording program, and computer readable recording medium

Info

Publication number: WO2007049499A1
Application number: PCT/JP2006/320841
Authority: WO
Inventors: Hiroaki Shibasaki
Original assignee: Pioneer Corporation
Priority date: 2005-10-28
Filing date: 2006-10-19
Publication date: 2007-05-03

Abstract

In an information recording apparatus (100) for overwrite-recording information related to the continuously inputted running status of a mobile unit, an acquiring part (101) acquires the user's mastery level of driving the mobile unit. A deciding part (102) decides a rate of detecting the behavior of the mobile unit in accordance with the driving mastery level acquired by the acquiring part (101). A detecting part (103) detects the behavior of the mobile unit in accordance with the detection rate decided by the deciding part (102). A storing part (104) stores, into a recording medium, information related to the running status of the mobile unit when the detecting part (103) detects the behavior of the mobile unit.

Description

Specification

Information recording apparatus, information recording method, information recording program, and computer-readable recording medium

Technical field

The present invention relates to an information recording apparatus for recording information, an information recording method, an information recording program, and a computer-readable recording medium. However, the use of the present invention is not limited to the above-described information recording apparatus, information recording method, information recording program and recording medium method, image display program, and computer-readable recording medium. Background art

[0002] Conventionally, a drive recorder that records the surrounding situation of a running vehicle is known, similar to a flight recorder mounted on an airplane. Such a drive recorder includes, for example, a front camera that captures the front of the vehicle, a rear camera that captures the rear, and a divided video forming unit that writes the front and rear images in a predetermined area of the image memory in synchronization with the reference signal.

[0003] The drive recorder adds vehicle position information and time information to the image memory information and regularly records the information in the buffer memory. Then, it is proposed to save the video as a trigger when it exceeds the predetermined value of the impact detection sensor, and to use it as a verification material in the accident identification and accident identification when encountering an incident such as an accident. (For example, see Patent Document 1 below.)

[0004] Patent Document 1: Japanese Patent Application Laid-Open No. 2004-224105

Disclosure of the invention

Problems to be solved by the invention

[0005] However, according to the above-described conventional technique, an impact detection sensor detects an impact of a predetermined value or more approximated at the time of an accident as a trigger, and stores an image at the time of trigger detection. Therefore, the number of times that the driver saves the image by detecting the false trigger of the impact exceeding the specified value even if the driver does not actually encounter an accident, compared to the case where the driver performs gentle driving. As an example, the problem of increase in Also, the video One example is the problem that if you save a large number of times, the recording area will be insufficient, and if you encounter a serious accident, you may not be able to save the video at the time of the accident.

[0006] In addition, according to the above-described prior art, since the video is stored with the impact detection sensor detecting an impact of a predetermined value or more as a trigger, when video recording is prioritized, the impact detection as a trigger is performed. It is necessary to set the sensitivity of the sensor high. By increasing the sensitivity, even a minor accident or attempted accident can be detected and the video can be saved. On the other hand, there is a problem that storing a large number of videos will cause the storage capacity of the recording medium to overflow, and if a serious accident is encountered, it may become impossible to store the videos. In particular, when driving for a long time until the arrival point and the arrival point, if you save a lot of images at the beginning of driving, the capacity of the recording medium will be exhausted at the end.

[0007] On the other hand, when giving priority to the recording capacity of the recording medium, it is necessary to set the sensitivity of the impact detection sensor serving as a trigger low. Decreasing the sensitivity reduces the possibility of the video not being able to be saved when a serious accident occurs without saving the video for minor accidents or attempted accidents. On the other hand, one example is the problem that video images of minor accidents and accident attempts (near incidents) cannot be analyzed and used for accident prevention.

[0008] Furthermore, when a plurality of replaceable recording media are used and the user replaces the recording media with a spare recording media when the recording medium capacity becomes full, the user can record An example is the problem of not being able to preserve the video if a serious accident is encountered during replacement, as well as the burden of media preparation.

Means for solving the problem

[0009] The information recording apparatus according to the invention of claim 1 is an information recording apparatus that overwrites and records information relating to a traveling state of a moving body that is continuously input, and is a determination that determines a detection sensitivity of the behavior of the moving body. Means, detection means for detecting the behavior of the mobile body with the detection sensitivity determined by the determination means, and information on the traveling state of the mobile body when the detection means detects the behavior of the mobile body. Storage means for storing in a recording medium. [0010] Further, the information recording method according to the invention of claim 9 is an information recording method for overwriting and recording information relating to a traveling state of a moving body that is continuously input. An acquisition step of acquiring the detection object, a detection step of determining the detection sensitivity of the behavior of the moving body to a detection sensitivity according to the driving skill acquired by the acquisition step, and a detection sensitivity determined by the determination step. A detection step for detecting the behavior of the mobile body, and a storage step for storing information on the traveling state of the mobile body when the behavior of the mobile body is detected by the detection step in a recording medium. Features.

[0011] Further, an information recording program according to the invention of claim 12 is characterized by causing a computer to execute the information recording method according to any one of claims 9 to L1.

[0012] A computer-readable recording medium according to the invention of claim 13 records the information recording program according to claim 12.

Brief Description of Drawings

FIG. 1 is a block diagram illustrating an example of a functional configuration of an information recording apparatus according to a first embodiment.

FIG. 2 is a flowchart showing the contents of processing of the information recording apparatus according to the first embodiment.

FIG. 3 is an explanatory diagram showing an example of the vicinity of the dashboard of the vehicle in which the navigation device according to the first embodiment is installed.

FIG. 4 is a block diagram of an example of a hardware configuration of the navigation device according to the first embodiment.

FIG. 5 is a flowchart showing the contents of processing in the navigation device according to the first embodiment.

FIG. 6 is an explanatory diagram of an example of a standard threshold table according to the first embodiment.

FIG. 7 is an explanatory diagram of an example of a standard threshold value table using the standard number of preservation times according to the first embodiment.

FIG. 8 is a block diagram of an example of a functional configuration of the information recording apparatus according to the second embodiment. FIG. 9 is a flowchart showing the contents of processing of the information recording apparatus according to the second embodiment.

FIG. 10 is a flowchart showing the contents of processing in the navigation device according to the second embodiment.

FIG. 11 is an explanatory view showing an example of a standard threshold value according to the second embodiment.

FIG. 12 is a flowchart showing the contents of the processing of the navigation device according to the third embodiment.

Explanation of symbols

[0014] 100, 800 information recording device

101 Acquisition Department

102, 803 decision part

103, 804 detector

104, 805 Storage unit

105 Recognition unit

106, 802 calculator

801 setting section

806 detector

BEST MODE FOR CARRYING OUT THE INVENTION

[0015] Exemplary embodiments 1, 2 of an information recording apparatus, an information recording method, an information recording program, and a computer-readable recording medium according to the present invention will be described in detail below with reference to the accompanying drawings. To do.

[0016] (Embodiment 1)

(Functional configuration of information recording device)

The functional configuration of the information recording apparatus according to the first embodiment will be described with reference to FIG. FIG. 1 is a block diagram of an example of a functional configuration of the information recording apparatus according to the first embodiment.

In FIG. 1, an information recording apparatus 100 that overwrites and records information relating to a traveling state of a moving body that is continuously input includes an acquisition unit 101, a determination unit 102, a detection unit 103, and a storage. A unit 104, a recognition unit 105, and a calculation unit 106 are included.

The acquisition unit 101 acquires the driving skill level of the moving object by the user. For example, the driving proficiency level may correspond to the driving history of the user in the past. More specifically, the system may be classified according to the user's accident history, driving tendency, licensed years, and the like. For obtaining the driving skill level, for example, the driving skill level registered in a recording medium (not shown) may be read. Further, the driving proficiency level may be determined based on, for example, an operation on a moving moving body or a behavior of the moving body. More specifically, the determination may be made based on the degree of positional deviation based on the positional relationship between the position of the traveling lane and the host vehicle, or based on the smoothness of the speed change.

[0019] In addition, the acquisition unit 101 may be configured to acquire the driving skill level associated with the user recognized by the recognition unit 105 described later. Furthermore, the driving skill level may be acquired based on the driving history of the user recognized by the recognition unit 105. The driving proficiency level based on the driving history may be determined, for example, based on information related to the driving of the user's moving body accumulated and stored in a recording medium (not shown). The information related to driving may be, for example, information including the distance traveled and the number and contents of dangerous operations.

[0020] The determination unit 102 determines the detection sensitivity of the behavior of the moving object to be a detection sensitivity corresponding to the driving skill level acquired by the acquisition unit 101. The behavior of the moving body is detected by, for example, the detection unit 103 described later, and may include information including the operation and operation of the moving body. Further, the detection sensitivity is a sensitivity for detecting the behavior in the detection unit 103. In addition, the determination unit 102 may be configured to determine the detection sensitivity so that the storage amount in the recording medium within a predetermined operation time calculated by the calculation unit 106 described later is equal to or less than a predetermined amount.

The detection unit 103 detects the behavior of the moving object based on the detection sensitivity determined by the determination unit 102. For example, the behavior of the moving object may be detected based on the output of various sensors mounted on the moving object, including information on the operation and operation of the moving object. More specifically, it may be a vibration sensor, a G sensor, a contact sensor for a moving body, or a sensor that can detect information related to operations such as a handle operation, a direction instruction signal input operation, an accelerator pedal operation, and a brake pedal operation. . In addition, the behavior is detected by, for example, providing a predetermined threshold, a value, or a predetermined pattern for the output of each sensor, It may be detected when the output is close to a predetermined pattern. More specifically, when the moving object exhibits dangerous behavior, the threshold value is not less than a predetermined value due to a collision or the like, or a sudden vibration of a predetermined pattern, G, a predetermined angle or more, or a predetermined pattern suddenly. A configuration for detecting a steering operation or acceleration / deceleration of a predetermined pattern may be used.

[0022] The storage unit 104 stores information on the running state of the moving body when the behavior of the moving body is detected by the detecting unit 103 in a recording medium. The information related to the running state is information including, for example, the moving route of the moving body, the moving speed, the video's sound around the moving body, the time when the behavior is detected, the detection result of the detecting unit 103, and the like.

[0023] The recognition unit 105 recognizes the user. For example, the user may be recognized by collating with user information registered in a recording medium (not shown). More specifically, input force (not shown) Input information and user information that can be configured to collate input information related to the user and user information include, for example, fingerprints, voiceprints, facial images, registration numbers, etc. Any information that can identify the user may be used.

[0024] The calculation unit 106 calculates the required operation time of the moving body. The calculation of the time required for driving is, for example, a configuration that takes into account road traffic information such as road information and traffic jam information that is calculated based on the moving speed of the moving body and the distance from the starting point or the current point to the destination point. Also good. Moreover, you may calculate the arrival time which arrives at the destination point.

[0025] (Contents of processing of information recording apparatus)

Next, the contents of processing of the information recording apparatus 100 according to the first embodiment will be described with reference to FIG. FIG. 2 is a flowchart showing the contents of processing of the information recording apparatus according to the first embodiment. In the flowchart of FIG. 2, first, the information recording apparatus 100 determines whether or not the moving body is running (step S201). Here, when the moving body is running and waiting (step S 201: Yes), the acquisition unit 101 subsequently acquires the driving skill level of the moving body by the user ( Step S202). Driving proficiency may be classified according to the user's accident history, driving propensity, years of license acquisition, etc., depending on the user's past driving history. In addition, the acquisition of the driving skill is, for example, luckily registered in a recording medium (not shown). It is also possible to read the training proficiency level and obtain it based on the operation of the moving body and the behavior of the moving body.

[0026] Subsequently, the determination unit 102 determines the detection sensitivity for detecting the behavior of the moving object according to the driving skill level acquired in step S202 (step S203). The detection sensitivity is, for example, the sensitivity for detecting the behavior of the moving body in the detection unit 103.

[0027] Subsequently, the detection unit 103 detects the behavior of the moving object based on the detection sensitivity determined in step S203 (step S204). The behavior of the moving object may be detected based on the output of various sensors mounted on the moving object, for example, information including the operation and operation of the moving object. The behavior may be detected, for example, when a predetermined threshold value is provided for each sensor and the output is equal to or higher than the threshold value.

[0028] Next, the storage unit 104 stores, on a recording medium (not shown), information related to the traveling state of the moving body when the behavior of the moving body is detected in step S204 (step S205), and a series of processes Exit. The information on the running state is information including, for example, the moving route of the moving body, the moving speed, the video's sound around the moving body, the time when the behavior is detected, the detection result of the detecting unit 103, and the like.

[0029] Note that the driving skill level acquisition in step S202 may be a configuration in which the driving skill level associated with the user recognized by the recognition unit 105 is acquired. For example, the user's recognition may be performed by collating input information related to the user, which is not shown, and the user information. The input information and user information may be information that can identify the user, such as a fingerprint, a voiceprint, a face image, or a registration number.

[0030] Further, the driving skill level acquired in step S202 may be based on the driving history of the user recognized by the recognition unit 105! / ヽ. Based on the driving history, the driving proficiency level may be determined, for example, based on information related to the operation of the user's moving body accumulated and stored in a recording medium (not shown). Further, the driving proficiency level acquired in step S202 may be determined based on information related to driving while the moving body is moving. More specifically, the determination may be made based on the degree of positional deviation based on the positional relationship between the position of the traveling lane and the host vehicle, or based on the smoothness of the speed change. Information related to driving includes, for example, the distance traveled and the number of dangerous operations And information including contents, etc.

[0031] In addition, the detection sensitivity in step S203 is determined so that the amount stored in the recording medium within the predetermined operation time calculated by the operation proficiency and calculation unit 106 is less than or equal to the predetermined amount. The structure to do may be sufficient. The required driving time can be calculated, for example, based on the moving speed of the moving body and the distance from the starting point or the current point to the destination point. It's okay. Moreover, you may calculate the arrival time which arrives at the destination point.

[0032] As described above, according to Embodiment 1, the detection sensitivity of the behavior of the moving object is determined according to the driving skill of the moving object by the user, and the behavior of the moving object is detected. The traveling state of the moving body is saved to a recording medium. Therefore, it is possible to suppress the storage of the running state due to the driving skill level and to save the running state by efficiently using the capacity of the recording medium.

Example 1

[0033] Example 1 according to the first embodiment of the present invention will be described below. In the first embodiment, an example in which the information recording apparatus of the present invention is implemented by a navigation device mounted on a moving body such as a vehicle (including a four-wheeled vehicle and a two-wheeled vehicle) will be described.

[0034] (Peripheral device configuration of navigation device)

First, the configuration of peripheral devices of the navigation device according to the first embodiment will be described with reference to FIG. FIG. 3 is an explanatory diagram of an example of the vicinity of the dashboard of the vehicle in which the navigation device according to the first embodiment is installed.

In FIG. 3, the navigation device 300 is installed on the dashboard of the vehicle. The navigation device 300 includes a main body M and a display unit (display) D. The display unit D displays the current location of the vehicle, map information, current time, and the like.

In addition, the navigation apparatus 300 is connected to an in-vehicle camera 311 installed on the dashboard and an in-vehicle microphone 312 installed in the sun noise generator. The in-vehicle camera 311 includes a fixed camera that captures the front outside the vehicle and a fixed camera that captures the interior of the vehicle. The in-vehicle microphone 312 is used when the navigation device 300 is operated by voice input or when an in-vehicle state is recorded. [0037] Although not shown, the in-vehicle camera 311 may be attached to the rear portion of the vehicle. When the vehicle-mounted camera 311 is attached to the rear part of the vehicle, it is possible to check the safety behind the vehicle and to record the situation at the time of rear-end collision when other vehicle forces are also rear-end. In addition, the in-vehicle camera 311 may be an infrared camera that records in a dark place. Further, a plurality of in-vehicle cameras 311 and in-vehicle microphones 312 may be installed in the vehicle, or may be a movable camera instead of a fixed type.

[0038] The navigation device 300 has a drive recorder function of recording the traveling state of the vehicle, in addition to searching for a route to the destination point and recording information. The drive recorder function is a function of the video and audio obtained with the in-vehicle camera 311 and the in-vehicle microphone 312 and the current position information and traveling speed of the vehicle obtained with the GPS 415 and various sensors 416 described later. Changes and the like are recorded on a recording medium (a magnetic disk 405 and an optical disk 407 described later) of the navigation device 300.

[0039] By constantly recording the driving state using such a drive recorder function, when the vehicle is involved in an accident or when an accident occurs around the vehicle, it is used to investigate the facts. You can get materials. Information to be recorded using the drive recorder function may be accumulated as long as the recording capacity of the recording medium is not exceeded, or may be erased sequentially with a predetermined time remaining. In addition, the recording medium may have a recording area for overwriting recording that constantly records the running state, and a storage area for saving the running state when involved in an accident, or an overwrite recording. It may be configured to have multiple recording media for storage and multiple recording media for storage.

[0040] (Hardware configuration of navigation device 300)

Next, a hardware configuration of the navigation device 300 according to the first embodiment will be described with reference to FIG. FIG. 4 is a block diagram of an example of a hardware configuration of the navigation device according to the first embodiment.

In FIG. 4, a navigation device 300 is mounted on a moving body such as a vehicle, and includes a CPU 401, a ROM 402, a RAM 403, a magnetic disk drive 404, a magnetic disk 405, and an optical disk drive 406. , Optical disc 407, audio IZF (interface) 408, microphone 409, speaker 410, input device 411, video IZF412 and display 4 13, communication IZF 414, GPS unit 415, various sensors 416, and camera 417. Each component 401 to 417 is connected by a node 420.

First, the CPU 401 governs overall control of the navigation device 300. The ROM 402 stores programs such as a boot program, a route search program, a route guidance program, a voice generation program, a map information display program, a communication program, a database creation program, and a data analysis program. The RAM 403 is used as a work area for the CPU 401.

Here, the route search program searches for an optimal route from the departure point to the destination point using map information recorded on the optical disc 407 to be described later. Here, the optimal route is the shortest (or fastest) route to the destination or the route that best meets the conditions specified by the user. In addition, not only the destination point but also a route to a stop point or a resting point may be searched. The guidance route searched by executing the route search program is output to the audio IZF 408 and the video IZF 412 via the CPU 401.

[0044] Further, the route guidance program includes the guidance route information searched by executing the route search program, the current location information of the navigation device 300 acquired by the communication IZF 414, and the map information read from the optical disc 407. Based on this, real-time route guidance information is generated. The route guidance information generated by executing the route guidance program is output to the audio IZF 408 and the video IZF 412 via the CPU 401.

[0045] The sound generation program generates tone and sound information corresponding to the pattern.

. That is, based on the route guidance information generated by executing the route guidance program, the virtual sound source corresponding to the guidance point is set and the voice guidance information is generated, and output to the voice IZF 408 via the CPU 401.

In addition, the map information display program determines the display format of the map information displayed on the display 413 by the video IZF 412 and displays the map information on the display 413 according to the determined display format.

Further, the CPU 401 sets a trigger detection threshold value. The trigger is, for example, a trigger for storing an image for a drive recorder, which will be described later. Alternatively, an output that exceeds a predetermined threshold or an output that approximates a predetermined pattern may be used as a trigger. Further, the threshold value for trigger detection is, for example, a threshold value for detecting a trigger, and sensor detection sensitivity of various sensors 416 may be used.

[0048] Further, the trigger detection threshold value setting by the CPU 401 may be performed in accordance with, for example, the driving skill level of the user. The driving proficiency level is specified in the driving history that has been registered by force, even if it is ranked according to the past driving history, such as the user's accident history, driving tendency, and years of license acquisition. It may be judged by setting a threshold value. More specifically, users with no history of accidents or gold license holders may rank A as driving proficiency, and users who have had an accident once or twice in the past three years may rank B. . The ranking may be based on the severity of the accident, etc., not as described above.

[0049] The threshold value for trigger detection can be determined by, for example, driving proficiency that can be determined based on information related to the driving of the user's vehicle accumulated and stored in a recording medium such as a magnetic disk 405 and an optical disk 407, which will be described later. The structure using a degree may be sufficient. The information related to driving may be, for example, information including a travel distance, the number and contents of dangerous operations, and the like. The driving proficiency mentioned above may be determined by recognizing a user who is registered in association with the user, acquiring the driving proficiency of the recognized user, and setting a threshold for trigger detection. Good. For example, the user may recognize the user information registered in a recording medium such as a magnetic disk 405 and an optical disk 407 described later. More specifically, driver information and user information that can be configured to collate driver information input from the input device 411 with user information, for example, identifies a user such as a fingerprint, voiceprint, facial image, or registration number. Any information can be used.

[0050] Further, the threshold value for trigger detection may be set, for example, in the time required for driving in a vehicle (including the time required to reach a destination point or a stop-off point), a recording medium such as a magnetic disk 405 or an optical disk 407 described later. Based on capacity, the configuration can be done! /. More specifically, for example, according to the driving proficiency, the standard storage count per unit time corresponding to the capacity of the recording medium and the required operation time may be referred to, and the value may be set.

[0051] The magnetic disk drive 404 controls reading and writing of data to the magnetic disk 405 according to the control of the CPU 401. Magnetic disk 405 is a magnetic disk drive. Records data written under Eve 404 control. As the magnetic disk 405, for example, HD (node disk) or FD (flexible disk) can be used.

In addition, the optical disk drive 406 controls data reading / writing to the optical disk 407 in accordance with the control of the CPU 401. The optical disc 407 is a detachable recording medium from which data is read according to the control of the optical disc drive 406. The optical disk 407 can also use a writable recording medium. Further, the removable recording medium may be a power MO of the optical disc 407, a memory card, or the like.

[0053] As an example of information recorded on the magnetic disk 405 and the optical disk 407, images and sounds inside and outside the vehicle obtained by the in-vehicle camera 311 and the in-vehicle microphone 312 shown in FIG. Information on the current position of the detected vehicle, output values from various sensors 416 described later, and the like can be given. These pieces of information are recorded by the drive recorder function of the navigation device 300 and are used as verification materials when a traffic accident occurs.

Other examples of information recorded on the magnetic disk 405 and the optical disk 407 include map information used for route search and route guidance. The map information includes background data that represents features (features) such as buildings, rivers, and the ground surface, and road shape data that represents the shape of the road. The original drawing. When the navigation device 300 is guiding a route, the map information and the current location of the vehicle acquired by the GPS unit 415 described later are displayed in an overlapping manner.

[0055] The road shape data further includes traffic condition data. The traffic condition data includes, for example, the presence / absence of traffic lights and pedestrian crossings, the presence / absence of highway doorways and junctions, the length (distance) of each link, road width, direction of travel, road type (high speed). Road, toll road, general road, etc.).

[0056] Further, the traffic condition data is stored with past traffic information obtained by statistically processing the past traffic information on the basis of, for example, the season / day of the week of 'Large holidays'. The navigation device 300 obtains information on traffic jams currently occurring based on road traffic information received by communication IZF 414, which will be described later. . In the first embodiment, the map information is recorded on the magnetic disk 405 and the optical disk 407. However, the present invention is not limited to this (the same applies to the second and third embodiments described later). Map information is integrated with the hardware of the navigation device 300! It may be provided outside the navigation device 300, which is not necessary. In that case, the navigation device 300 acquires map information via the network through the communication IZF 414, for example. The acquired map information is stored in the RAM 403 or the like.

The audio IZF 408 is connected to an audio input microphone 409 (for example, the in-vehicle microphone 312 in FIG. 3) and an audio output speaker 410. Audio received by the microphone 409 is AZD converted in the audio IZF408. In addition, sound is output from the speaker 410. Note that the sound input from the microphone 409 can be recorded on the magnetic disk 405 or the optical disk 407 as sound data.

[0059] The input device 411 includes a remote controller, a keyboard, a mouse, a touch panel, and the like, each having a plurality of keys for inputting characters, numerical values, various instructions, and the like.

[0060] In addition, video IZF 412 is connected to display 413 and camera 417 (for example, in-vehicle camera 311 in FIG. 3). Specifically, the video IZF412 is, for example, a graphic controller that controls the entire display 413, a buffer memory such as VRAM (Video RAM) that temporarily records image information that can be displayed immediately, and an output from the graphic controller. It is configured by a control IC that controls display of the display 413 based on the image data to be displayed.

[0061] The display 413 displays icons, cursors, menus, windows, or various data such as characters and images. As this display 413, for example, a CRT, a TFT liquid crystal display, a plasma display, or the like can be adopted. The display 41 3 is installed, for example, in a manner like the display unit D in FIG. A plurality of displays 413 may be provided in the vehicle, for example, for the driver and for a passenger seated in the rear seat.

[0062] The camera 417 captures an image inside or outside the vehicle. The image can be either a still image or a moving image.For example, the camera 417 captures the behavior of passengers inside the vehicle, and the captured image is recorded on the magnetic disk 405, optical disk 407, etc. via the video I / F 412. Output to recording media. The camera 417 captures the situation outside the vehicle, and outputs the captured image to a recording medium such as the magnetic disk 405 or the optical disk 407 via the video IZF 412. The video output to the recording medium is overwritten and recorded as a drive recorder image.

[0063] Further, the communication IZF 414 is connected to a network via radio and functions as an interface between the navigation device 300 and the CPU 401. The communication IZF 414 is further connected to a communication network such as the Internet via radio, and also functions as an interface between the communication network and the CPU 401.

[0064] Communication networks include LANs, WANs, public line networks, mobile phone networks, and the like. Specifically, the communication IZF414 is composed of, for example, FM tuner, VICS (Vehicle Information and Communication System) Z beacon Resino, wireless navigation device, and other navigation devices. Get road traffic information such as traffic regulations. VICS is a registered trademark.

[0065] Further, the GPS unit 415 uses a received wave from a GPS satellite and output values from various sensors 416 (for example, an angular velocity sensor, an acceleration sensor, and a tire rotation number) described later, Information indicating the current location of the location piggy-on device 300 is calculated. The information indicating the current location is information that identifies one point on the map information, such as latitude'longitude and altitude. Further, the GPS unit 415 outputs an odometer, a speed change amount, and an azimuth change amount using output values from various sensors 416. This makes it possible to analyze dynamics such as sudden braking and sudden handling.

[0066] Here, a method of specifying the current location using the GPS unit 415 will be described. First, in GPS, a total of 24 GPS satellites are arranged, 4 each in 6 orbital planes around the earth. These satellites are always orbited so that the same satellites are located at the same time every day, and are always 5 from any point on the earth (but need to have a good view)! I can see the satellite.

[0067] GPS satellites are equipped with cesium (Cs) atomic clocks (oscillators) that keep accurate time in sync with the time of each satellite. In addition, each satellite is equipped with two cesium oscillator power units and two rubidium (Rb) oscillators. This is by GPS This is because accurate time is indispensable for position measurement.

[0068] GPS satellite forces and others are transmitting radio waves with two frequencies of 1575.42MHz (Ll) and 1227.60MHz (L2) (hereinafter referred to as GPS signals). This radio wave is modulated by a random number code called pseudo random code (Pseudo Random Noise Code). When it is received by GPS 415, etc., the signal content is decoded by referring to the code corresponding to the random number table. To do.

[0069] The GPS unit 415 measures the time difference between the GPS code and the time when the GPS signal is emitted and the time when the device receives the GPS signal, using the decoded code and the clock in the device. Then, multiply the time difference by the propagation speed of the radio wave to calculate the distance from the GPS satellite to your device (distance = speed x time). This time is synchronized to Coordinated Universal Time (UTC).

[0070] Since accurate information on the orbit is sent from the GPS satellite, the current location of the GPS satellite can be known accurately. Therefore, if the distance of the GPS satellite force is known, the current location of the device will be one of the points on the sphere centered on the GPS satellite and having the calculated distance as the radius. The GPS signal code string is repeatedly sent at intervals of about lms. Since the propagation speed of the GPS signal is 400, OOOkmZ seconds, the maximum measurement distance is 400, 000 X 0.001 = 400km. Therefore, it is necessary to know the current location of the device in advance for accuracy of about 100km.

[0071] As described above, if the distances from three of the GPS satellites are calculated, the current location of the device is either one of the two points where the three spherical surfaces intersect. Also, one of the two points is also far away from the predicted point force, so in principle one point is determined. In reality, however, the current candidate point calculated (the intersection of the three faces) is not two. This is mainly because the accuracy of the clock mounted on the GPS unit 415 is lower than that of the atomic clock mounted on the GPS satellite, resulting in an error in the calculation results.

[0072] For this reason, the GPS unit 415 receives GPS signals from a total of four GPS satellites.

This can be considered to be obtained by introducing new information (formula) with the error of the clock on the GPS unit 415 side as another unknown. In this way, the GPS unit 415 receives the GPS signals from the four GPS satellites, so that it converges to one point. A current location can be obtained.

[0073] Various sensors 416 are a vehicle speed sensor, an acceleration sensor, a G sensor, an angular velocity sensor, and the like, and their output values are used for calculation of the current position by the GPS unit 415, measurement of changes in speed and direction, and the like. It is done. The various sensors 416 include sensors that detect each operation of the vehicle by the driver. The detection of each operation of the vehicle may be configured to detect, for example, steering wheel operation, turn signal input, accelerator pedal depression, or brake pedal depression. Also, the output values of the various sensors 416 can be data recorded by the drive recorder function.

[0074] In addition, the various sensors 416 may be configured so that a trigger for storing the drive recorder image is set in advance and the drive recorder image is stored when the trigger is detected. . The trigger in each sensor 416 may be set, for example, when a vibration sensor detects a vibration exceeding a specified level or a predetermined vibration pattern. The predetermined vibration pattern may be a vibration pattern that exhibits an abnormality such as a sudden rise. The trigger may be set when, for example, the G sensor detects a G that exceeds the specified level or a pattern with a predetermined G applied. The predetermined G force may be any pattern that shows an abnormality, such as a sudden rise. Alternatively, a configuration may be used in which the presence or absence of contact with the other, the operation of an air nog, or the stop of the vehicle is triggered by a vehicle body contact sensor. Furthermore, as long as there is one or more of the above-mentioned triggers, a combination of multiple triggers may be used.

Of the functional configuration of the information recording apparatus 100 according to the first embodiment, the acquisition unit 101 is based on the CPU 401 and the input device 411, the determination unit 102 and the calculation unit 106 are based on the CPU 401, and the detection unit 103 is based on various types. The function of the storage unit 104 is realized by the magnetic disk 405 and the optical disk 407 by the sensor 416, and the function of the recognition unit 105 is realized by the CPU 401, the magnetic disk 405, the optical disk 407, and the input device 411.

[0076] (Contents of processing of navigation device 300)

Next, the contents of processing of the navigation device 300 according to the first embodiment will be described with reference to FIG. FIG. 5 is a flowchart of a process performed by the navigation device according to the first embodiment. In the flowchart of FIG. 5, the navigation apparatus 300 first determines whether or not the vehicle is traveling (step S501). For vehicle driving For example, the determination regarding the reference may be made with reference to the outputs of the various sensors 416. Here, when the vehicle is running after waiting for the vehicle to travel (step S501: Yes), the CPU 401 then obtains driver information via the input device 411 (step S501). S502). Driver information is, for example, information for recognizing the user who will be the driver and can be obtained by prompting the driver to input an authentication code, fingerprint data, or biometric information.

Next, the CPU 401 determines whether or not there is proficiency data representing the driving proficiency level of the user recognized by the driver information acquired in step S502 (step S503). The proficiency level data may be, for example, a configuration in which the user is registered in advance on a recording medium! The user's accident history, driving tendency, license acquisition years, etc. may be registered.

[0078] If there is proficiency level data in step S503 (step S503: Yes), the CPU 401 sets a trigger detection threshold value according to the driving proficiency level based on the proficiency level data (step S503: Yes). S 504). The threshold for trigger detection may be, for example, the sensor detection sensitivity of a sensor serving as a trigger for storing an image for a drive recorder. The threshold according to the driving proficiency may be set with reference to the standard threshold table described later in FIGS. 6 and 7, for example, the higher the driving proficiency, the higher the threshold. You can set it according to the time required for driving the vehicle.

If there is no proficiency level data in step S503 (step S503: No), the user registers proficiency level data via the input device 411 (step S505). For registration of proficiency data, for example, a message prompting registration may be displayed on the display 413 or the like. Then, the CPU 401 sets a trigger detection threshold value according to the driving skill level based on the skill level data registered in step S505 (step S504). In addition, instead of registering proficiency data in step S504, a standard trigger detection threshold value may be set (if proficiency data is not available).

[0080] Then, the camera 417 starts capturing an image for the drive recorder (step S506).

The drive recorder image is, for example, an image of the surroundings of the vehicle, such as a moving image at a certain time. But you can. The drive recorder image may be overwritten on a recording medium such as the magnetic disk 405 or the optical disk 407. Overwrite recording is, for example, recording a moving image over a certain period of time by overwriting sequentially so as not to exceed the recording capacity of the recording medium, and has a recording medium for overwriting recording and a recording area for overwriting recording. Record on a recording medium.

Next, the CPU 401 determines whether or not the trigger is detected based on the trigger detection threshold set in step S504 (step S507). The trigger may be, for example, a trigger for saving the drive recorder image by the output of the various sensors 416. More specifically, it may be set when a vibration sensor detects a vibration exceeding a specified level or a predetermined vibration pattern. The predetermined vibration pattern may be a vibration pattern that shows an abnormality, such as a sudden rising vibration. The trigger may be set when, for example, the G sensor detects a G pattern that exceeds the specified level or a predetermined G force pattern. The predetermined G can be applied to any pattern that shows an abnormality, such as a sudden rising G. Alternatively, it may be configured such that the presence or absence of contact with the other or the operation of the airbag or the like by the contact sensor of the vehicle body is a trigger.

[0082] Further, the trigger may be configured to detect the trigger by detecting the driving operation of the driver that causes the dangerous behavior of the vehicle based on the output of the various sensors 416 at the sensor detection sensitivity set in step S504. . More specifically, it may be triggered by an unusual handle operation such as a sharp handle or a handlebar at a specified angle without taking out a blinker exceeding the specified angular velocity or a specific handle operation when sleepiness occurs. . In addition, when acceleration is greater than the specified acceleration or deceleration, deceleration is strong at intersections where there is no signal, deceleration is strong due to red traffic light (yellow signal), or pedal operation peculiar to sleepiness, etc. A different pedal operation may be used as a trigger. In addition, if the handle operation is abnormal, the configuration may be such that a bullying operation pattern is registered and compared with the registered operation pattern. Further, an intersection without a signal and other points that need to be stopped may be acquired based on map information recorded on a recording medium. The color of the signal can also be judged by the image power taken with the camera 417.

[0083] Then, when a trigger is detected in step S507 (step S507: Yes), Recording media such as the magnetic disk 405 and the optical disk 407 are overwritten and recorded in step S506 to store the drive recorder image (step S508). For example, the drive recorder image may be configured to store an image at the detection time point when the trigger is detected in step S507 and a certain time before and after the detection time. In addition, the configuration may be set by the passenger for a certain period of time, and if the trigger is detected again within a certain period of time from the detection point, the configuration may be such that the storage time can be extended. In addition, the drive recorder image may be stored in a storage medium or a recording medium having a storage area for storage.

In step S508, after the storage of the drive recorder image is completed, CPU 4001 determines whether or not the vehicle has been driven (step S509). For example, the storage end instruction may be received via the input device 411. The instruction to end the storage may be, for example, a configuration in which the passenger is notified of the start of the storage and is input by the passenger operating the input device 411. Alternatively, the storage may be terminated after a predetermined time has elapsed since the trigger was detected in step S507. Further, the determination regarding the traveling of the vehicle may be made with reference to the outputs of the various sensors 416, for example. More specifically, it may be determined that the vehicle has finished traveling when the output of the various sensors 416 stops.

[0085] If a trigger is not detected in step S507 (step S507: No), the process proceeds to step S509, and the CPU 401 determines whether or not the vehicle has finished traveling (step S509). ).

Here, if the vehicle does not finish traveling in step S509 (step S509: No), the process returns to step S506 and the process is repeated. In step S509, when the vehicle finishes running (step S509: Yes), the series of processing ends.

In the description of this figure, in step S 503, it is configured to determine whether or not the proficiency level data that has been registered eagerly is present, but the user's proficiency level data is accumulated in the recording medium. It may be configured to save. The proficiency level data to be accumulated may be information including, for example, the user's travel distance, the number and contents of dangerous operations, and the number of past average trigger detections. [0088] In addition, in the explanation of this figure, in step S506, the power around the vehicle is recorded as an image for a drive recorder and overwritten and recorded, and other information on the running state such as the output of various sensors 416 is overwritten together. It is good also as a structure to record. In that case, in step S507, when the trigger is detected, the detected detection time and the output at a certain time before and after the detection may be saved.

Next, with reference to FIG. 6, an example of the standard threshold value table for setting the threshold value for trigger detection according to the first embodiment will be described. FIG. 6 is an explanatory diagram of an example of a standard threshold table according to the first embodiment.

In FIG. 6, the standard threshold value table 600 has a driving skill 601 and a sensor detection sensitivity 602. The driving proficiency level 601 may be specified based on proficiency level data associated with the user, for example. The proficiency level data, for example, quantifies the user's accident history, driving tendency, number of years of license acquisition, user mileage, number of dangerous operations and contents, and the number of past average trigger detections, etc. A configuration in which the ranks are divided according to the arrangement may be adopted. In addition, a configuration in which one or more parameters to be numerical values are set can be arbitrarily set. Also, instead of numerical values, it is also possible to set a direct value for each parameter and rank the driving proficiency level.

The sensor detection sensitivity 602 indicates the detection sensitivity of the various sensors 416 and is set according to the driving skill 601. In this figure, the sensor detection sensitivity 602 is 80% for the driving proficiency 601 of rank A, 60% for driving proficiency 601 of rank B, and driving proficiency 601 of rank C. Is set at 40%. In addition, with reference to this figure, the structure which sets the threshold value of the trigger detection in above-mentioned step S504 may be sufficient.

Next, with reference to FIG. 7, an example of the trigger detection threshold value setting according to the first embodiment, which is different from FIG. 6 of the standard threshold value table, will be described. FIG. 7 is an explanatory diagram of an example of a standard threshold and a value table using the standard number of preservation times according to the first embodiment.

In FIG. 7, the standard threshold value table 700 has an operation proficiency level 701, a sensor detection sensitivity 702, and a standard storage count 703. The driving proficiency level 701 may be specified based on proficiency level data associated with the user, for example. The proficiency level data includes, for example, the user's accident history, driving tendency, licensed years, and user's mileage. The number of separations and dangerous operations, the contents, the number of past average trigger detections, etc. may be numerically entered, and the rank may be divided according to a predetermined threshold value. In addition, a configuration may be used in which one or more parameters to be numerically set can be arbitrarily set. In addition, instead of numerical values, a configuration may be used in which thresholds are set directly for each parameter to rank driving proficiency levels.

The sensor detection sensitivity 702 indicates the detection sensitivity of the various sensors 416 and is set according to the standard storage count 703 for each driving skill 701. The standard save count 703 is associated with the sensor detection sensitivity 702, and is the standard save count in the recording area of the recording medium per unit time. More specifically, for example, if the driving proficiency level 701 is A rank and the trigger detection is performed using a sensor with a sensor detection sensitivity 702 of 80%, the recording area is typically 4 per hour. Will be saved once. When trigger detection is performed using a sensor with a sensor detection sensitivity 702 of 60%, the recording area is typically stored three times per hour. Similarly, when trigger detection is performed using a sensor with a sensor detection sensitivity 702 of 40%, the recording area is typically stored twice per hour.

Here, the threshold value for trigger detection in the drawing may be configured such that the sensor detection sensitivity 702 is set based on the time required for driving and the capacity of the recording area at each driving skill level. More specifically, for example, if the driving proficiency level 701 is a B rank driver, the standard storage count 703 is allowed up to 5 times, assuming that the allowable amount of recording area is 30 times and the driving time is 5 hours. The capacity is not exceeded. Therefore, the sensor detection sensitivity 702 is set to 60%. In other words, the threshold setting for trigger detection in this figure is based on the standard threshold table 700: (standard number of storages according to the rank of driving proficiency) X (required time) (allowable amount) It is also possible to set the sensor detection sensitivity 702 corresponding to the maximum standard storage count 703. Note that the required driving time may be calculated taking into account the traffic information that may be calculated based on the set destination point, such as the required time to the destination point. Moreover, the structure which a user inputs directly may be sufficient.

[0096] Instead of setting the allowable amount of the recording area as the number of storage times, a threshold value for trigger detection may be set as the storage time. In that case, the standard coverage in standard threshold table 700 The life count 703 is set to the sensor detection sensitivity 702 in substantially the same manner as described above as the time for storing the drive recorder image per unit time.

As described above, according to the first embodiment, the sensor detection sensitivity serving as the threshold for trigger detection is set according to the driving skill level of the driver. And, because the trigger is detected based on the set sensor detection sensitivity and the image for the drive recorder is stored, it is possible to prevent the detection of an erroneous trigger in the case of an accident caused by driving proficiency. it can. Therefore, it is possible to suppress the number of times that an extra drive recorder image is stored. In addition, since the capacity of the recording medium can be secured appropriately, the images for the drive recorder can be reliably stored, which can be used for accident verification and accident prevention data.

[0098] Further, according to the first embodiment, it is also possible to store information relating to the running state such as outputs from the various sensors 416 together with the drive recorder image. Therefore, more detailed accident verification and accident prevention materials can be obtained, and accident verification and accident prevention can be performed reliably.

[0099] Further, according to the first embodiment, since the sensor detection sensitivity can be set according to the capacity of the recording medium, it is possible to prevent a shortage of the capacity of the recording medium and to reliably save the image for the drive recorder. be able to. In addition, if the recording medium capacity is detected at predetermined intervals, the recording medium capacity can be secured even in the process of capacity reduction over a long period of operation.

[0100] According to the first embodiment, the sensor detection sensitivity is set as the trigger detection threshold, but instead of setting the sensor detection sensitivity, the sensor for detecting the trigger is selected. It is good also as a structure. Further, the trigger sensor may be configured to set a threshold value itself for detecting a vehicle abnormality. In this way, the versatility of the present invention can be enhanced.

[0101] In the first embodiment, the proficiency level data is recorded on a recording medium, but may be managed by an external server. And by acquiring it as necessary, the burden on the in-vehicle device can be reduced. Further, in the present invention, if the data protection function and the data encryption function are provided, the data can be prevented from being falsified and appropriate data can be used. [0102] (Embodiment 2)

(Functional configuration of information recording device)

Next, the functional configuration of the information recording apparatus according to the second embodiment will be described with reference to FIG. FIG. 8 is a block diagram of an example of a functional configuration of the information recording apparatus according to the second embodiment.

In FIG. 8, an information recording apparatus 800 that overwrites and records information relating to a traveling state of a moving body that is continuously input includes a setting unit 801, a calculation unit 802, a determination unit 803, and a detection unit 804. A storage unit 805 and a detection unit 806 are included.

[0104] Setting section 801 sets a destination point in a moving object. For example, the destination point may be set by a user operating an input unit (not shown) or by setting a stop point or a rest point! / ヽ.

The calculating unit 802 calculates the required time to the destination point set by the setting unit 801. The required time is calculated, for example, by considering road traffic information such as road information and traffic congestion information that is calculated based on the moving speed of the moving object and the distance from the starting point or the current point to the destination point. It is good also as a structure. Alternatively, the arrival time to reach the destination point may be calculated.

The determination unit 803 determines the detection sensitivity of the behavior of the moving body as the detection sensitivity corresponding to the required time calculated by the calculation unit 802. The behavior of the moving body is detected by, for example, a detection unit 804 described later, and may include information including the operation and operation of the moving body. Further, the detection sensitivity is a sensitivity for detecting the behavior in the detection unit 804.

[0107] Furthermore, the determination unit 803 may be configured to determine the detection sensitivity so that the storage amount by the storage unit 805 in the recording medium within a predetermined time calculated by the calculation unit 802 is equal to or less than a predetermined amount. Furthermore, the determination unit 803 may be configured to determine the detection sensitivity according to the remaining amount of the recording medium detected by the detection unit 806 described later.

The detection unit 804 detects the behavior of the moving object based on the detection sensitivity determined by the determination unit 803. For example, the behavior of the moving object may be detected based on the output of various sensors mounted on the moving object, including information on the operation and operation of the moving object. More specifically, a vibration sensor, a G sensor, a contact sensor for a moving object, and a handle operation and direction It may be a sensor that can detect information related to operations such as instruction signal input operations, accelerator pedal operations, and brake pedal operations. Also, the behavior may be detected when, for example, a predetermined threshold, value, or a predetermined pattern is provided in the output of each sensor, and the output is greater than the threshold or approximate to the predetermined pattern. . More specifically, when the moving object exhibits dangerous behavior, the threshold value is not less than a predetermined value due to a collision or the like, or a sudden vibration of a predetermined pattern, G, a predetermined angle or more, or a predetermined pattern suddenly. It may be configured to detect the operation of performing a needle or unnecessary or acceleration / deceleration of a predetermined pattern.

[0109] Storage unit 805 stores, in a recording medium, information related to the running state of the moving body when the detecting unit 804 detects the behavior of the moving body. The information related to the running state is information including, for example, the moving route of the moving body, the moving speed, the video “audio” around the moving body, the time when it is determined, the detection result of the detecting unit 804, and the like.

[0110] The detection unit 806 detects the remaining amount of the recording medium. The remaining amount may be detected based on, for example, the number of times of storage by the storage unit 805 and the stored data capacity. Then, based on the remaining amount detected by the detection unit 806, the above-described determination unit 803 determines the detection sensitivity of the detection unit 804.

[0111] (Contents of information recording device processing)

Next, the processing contents of the information recording apparatus 800 according to the second embodiment will be described with reference to FIG. FIG. 9 is a flowchart showing the contents of processing of the information recording apparatus according to the second embodiment. In the flowchart of FIG. 9, first, the setting unit 801 accepts the setting of a destination point in the moving body (step S901). For example, the destination point may be set by a user operating an input unit (not shown) or by setting a stop point or a rest point.

[0112] Then, the calculation unit 802 calculates the required time to the destination set in step S801 (step S902). The required time is calculated by taking into account road traffic information such as road information and traffic congestion information that can be calculated based on the moving speed of the moving object and the distance from the starting point or the current point to the destination point. It is good also as a structure. Alternatively, the arrival time to reach the destination point may be calculated. [0113] Next, the determination unit 803 determines the detection sensitivity for detecting the behavior of the moving object according to the required time calculated in Step S902 (Step S903). The detection sensitivity is, for example, a sensitivity for detecting the behavior of the moving body in the detection unit 804.

[0114] Then, the detection unit 804 detects the behavior of the moving object based on the detection sensitivity determined in step S803 (step S904). For example, the behavior of the moving body may be detected based on the output of various sensors mounted on the moving body, using information including the operation and operation of the moving body. In addition, behavior detection may be performed when, for example, a predetermined threshold value is set for various sensors, and the output exceeds the threshold! / Value.

[0115] Next, the storage unit 805 stores information on the traveling state of the moving body when the behavior of the moving body is detected in Step S904 on a recording medium (not shown) (Step S905), and performs a series of processes. finish. The information related to the running state is information including, for example, the moving route of the moving body, the moving speed, the video's sound around the moving body, the time when the behavior is detected, the detection result of the detecting unit 804, and the like.

[0116] Also, in this figure, in step S903, the force that is configured to determine the detection sensitivity according to the time required to reach the destination point. The storage amount by the storage unit 805 to the recording medium within a predetermined time is a predetermined amount. The detection sensitivity may be determined so as to be as follows. Further, the detection sensitivity may be determined according to the remaining amount of the recording medium detected by the detection unit 806.

[0117] As described above, according to the second embodiment, the detection sensitivity of the behavior of the moving object is determined according to the required time to the destination point and the capacity of the recording medium, and the behavior of the moving object is determined. The traveling state of the moving body when detected is stored in a recording medium. Therefore, it is possible to optimally store the driving state without running out of the capacity of the recording medium for storing the driving state, and to use the stored driving state for accident verification and accident prevention data.

Example 2

[0118] Example 2 according to the second embodiment of the present invention will be described below. In the second embodiment, an example in which the information recording device of the present invention is implemented by a navigation device mounted on a moving body such as a vehicle (including a four-wheeled vehicle and a two-wheeled vehicle) will be described.

[0119] (Configuration of navigation device)

The navigation device according to Example 2 is described in Example 1 of Embodiment 1. The navigation apparatus 300 has the same configuration. In other words, the navigation device according to the second embodiment is also installed in the vicinity of the dashboard of the vehicle with the peripheral device configuration power as shown in FIG. Further, the navigation device 300 itself has a hard ware configuration as shown in FIG.

Of the functional configuration of the information recording apparatus 800 according to the second embodiment, the setting unit 801 includes a calculation unit 802, a determination unit 803, and a detection unit 806, depending on the CPU 401 and the input device 411 in the navigation device 300. These functions are realized by the CPU 401, the detection unit 804 by the various sensors 416, and the storage unit 805 by the magnetic disk 405 and the optical disk 407, respectively.

[0121] (Processing content of navigation device 300)

Next, the contents of processing of the navigation device 300 according to the second embodiment will be described with reference to FIG. FIG. 10 is a flowchart of the process in the navigation device according to the second embodiment. In the flowchart of FIG. 10, first, the CPU 401 determines whether or not a destination point has been set (step S1001). The destination point can be set, for example, by setting a stop point or a resting point that can be set by the user operating the input device 411.

[0122] If the destination point is set in step S1001 (step S1001: Yes), the CPU 401 calculates the required time to the destination point (step S1002). For example, the required time can be calculated based on the vehicle speed and the distance from the departure point to the destination point. The communication can be calculated based on road traffic information such as road information and traffic jam information acquired via IZF414. It is good also as a structure which considers. Moreover, the structure which updates at predetermined intervals until it reaches | attains the destination point may be sufficient. In other words, if the required time changes due to changes in traffic conditions or the addition of a stop point before reaching the destination, the required time may be calculated each time. Alternatively, the arrival time to reach the destination point may be calculated with reference to the current time.

Next, CPU 401 sets a threshold value for trigger detection according to the required time calculated in step S1002 (step S1003). The trigger detection threshold is, for example, the sensor detection sensitivity of the sensor that serves as the trigger for storing the drive recorder image. But you can. The threshold corresponding to the required time may be configured such that, for example, the sensor detection sensitivity is lowered when the required time to the destination point is long. More specifically, if the required time to the destination exceeds 3 hours, the sensor detection sensitivity is reduced by 30%, and if it takes more than 5 hours, the sensor detection sensitivity is reduced by 50%.

[0124] Further, the threshold value according to the required time in step S1003 may be configured to be set in a plurality of stages for the required time to be updated at a predetermined interval. More specifically, the sensor detection sensitivity is reduced by 50% when the required time exceeds 5 hours, and the sensor detection sensitivity is reduced by 30% when the required time exceeds 3 hours and is 5 hours or less. It may be completed. In addition, in Step S1003, if there is a change in the required time due to changes in traffic conditions or the addition of a stop point before reaching the destination point, depending on the calculated required time, The threshold value may be reset. Further, the threshold value according to the required time will be described later in detail in FIG. 11, but it may be set based on a standard table or a value table recorded on a recording medium.

[0125] If the destination point is not set in step S1001 (step S1001: No), the trigger detection threshold is set to the standard (step S1004). Note that the standard trigger detection threshold value may be set to a predetermined value at the standard time, or may be set based on the remaining amount of the storage area as described later in the second embodiment. Yo! /

[0126] Then, the camera 417 starts capturing an image for the drive recorder (step S1005). The drive recorder image may be, for example, an image around the vehicle and a moving image at a certain time. The drive recorder image may be overwritten on a recording medium such as the magnetic disk 405 or the optical disk 407. Overwrite recording is, for example, recording a moving image over a certain period of time by overwriting sequentially so as not to exceed the recording capacity of the recording medium. The recording has a recording medium for overwriting recording and a recording area for overwriting recording. Record on media.

[0127] Next, the CPU 401 determines whether or not the force has detected the trigger based on the trigger detection threshold value set in step S503 or step S1004 (step S1006). The trigger is an opportunity to save the drive recorder image by the output of the various sensors 416 at the sensor detection sensitivity set in step S1003, for example. Anyway. More specifically, the trigger may be set when a vibration sensor detects a vibration exceeding a specified level or a predetermined vibration turn. The predetermined vibration pattern may be a vibration pattern that shows an abnormality, such as a sudden rising vibration. The trigger may be set when, for example, the G sensor detects a G exceeding the specified value or a pattern of how to force a predetermined G. The prescribed G force may be a pattern that shows an abnormality, such as a sudden rising G. Alternatively, it may be configured to use the contact sensor of the vehicle body as a trigger for the presence or absence of contact with the other or the operation of the airbag.

[0128] In addition, the trigger may be configured to detect the driving operation of the driver that causes dangerous behavior of the vehicle based on the output of the various sensors 416 at the sensor detection sensitivity set in step S1003, and to use the trigger. . More specifically, it may be triggered by an unusual handle operation such as a handle operation at a specified angle or a special handle operation when drowsiness occurs without giving a sudden handle or blinker exceeding the specified angular velocity. ,. In addition, acceleration exceeding the specified acceleration 'deceleration, decelerating force at intersections without signals, decelerating force with red signal (yellow signal), or special pedal operation when drowsiness occurred. It is good also as composition which uses pedal operation different from usual as a trigger. In the case of abnormal handle operation, it may be configured to register a force motion pattern and compare it with the registered motion pattern. Intersections without signals and other points that need to be stopped may be acquired based on map information recorded on the recording medium. The signal color can also be determined by the image power taken by the camera 417.

[0129] If a trigger is detected in step S1006 (step S1006: Yes), the recording media such as magnetic disk 405 and optical disk 407 are overwritten and recorded in step S1005! The image is saved (step S1007). The drive recorder image may have a configuration in which, for example, images at a detection time point when the trigger is detected in step S1006 and images before and after that time are stored. In addition, a configuration in which a certain time can be set by the passenger may be configured so that when a specific behavior is detected again within a certain time from the detection time, the time to save can be extended. In addition, the drive recorder image may be stored in a storage medium or a recording medium having a storage area for storage. In step S1007, after the storage of the drive recorder image is completed, the CPU 401 determines whether or not the force has reached the destination point (step S1008). For example, the storage end instruction may be received via the input device 411. The instruction to end the storage may be, for example, a configuration in which the passenger is notified of the start of the storage and is input by the passenger operating the input device 411. Alternatively, the storage may be terminated after a predetermined time has elapsed since the trigger was detected in step S 1006.

[0131] If a trigger is not detected in step S1006 (step S1006: No), the process proceeds to step S1008, and the CPU 401 determines whether or not the destination point has been reached (step S1006: No). S 1008).

Here, when the destination point is reached in step S1008 (step S1008: Yes), the series of processing is terminated as it is. If the destination has not been reached at step S 1008 (step S 1008: No), the process returns to step S1001 and the process is repeated. In step S1008, instead of reaching the destination point, it may be determined that the vehicle has ended when the vehicle has stopped, and the series of processes is ended.

In the description of FIG. 10, in step S1005, an image around the vehicle is captured and overwritten as a drive recorder image, but other information related to the driving state such as the output of various sensors 416 is also included. The overwriting may be performed. In this case, in step S1006, when the trigger is detected, the detected detection time and the output at a certain time before and after the detection time may be saved.

Next, with reference to FIG. 11, an example of the standard threshold value table for setting the threshold value for trigger detection according to the second embodiment will be described. FIG. 11 is an explanatory diagram of an example of a standard threshold table according to the second embodiment.

In FIG. 11, the standard threshold value table 1100 has a sensor detection sensitivity 1101 and a standard storage count 1102. The sensor detection sensitivity 1101 indicates the detection sensitivity of the various sensors 416. The standard storage count 1102 is associated with the sensor detection sensitivity 1101 and is a standard count of storage in the recording area of the recording medium per unit time. More specifically, for example, trigger detection using a sensor with a sensor detection sensitivity of 1101 is 100%. If you do this, you will typically save 10 times per hour in the recording area. Similarly, when trigger detection is performed using a sensor with a sensor detection sensitivity 1101 of 80%, the recording area is typically stored 8 times per hour.

Here, the threshold for trigger detection in the second embodiment may be configured such that the sensor detection sensitivity 1101 is set based on the required time to the destination and the capacity of the recording area. More specifically, for example, if the allowable amount of the recording area is 35 times and the required time to the destination is 5 hours, the standard storage count 1102 may exceed the allowable amount up to 6 times. Absent. Therefore, the sensor detection sensitivity 1101 is set to 60%. In other words, the threshold value for trigger detection in Example 2 is set to the maximum standard number of preservation times, which is (standard number of preservation times) X (required time) (allowable amount) based on the standard threshold table 1100. It is also possible to set the sensor detection sensitivity 1101 according to 1102.

[0137] Instead of setting the allowable amount of the recording area as the number of storage times, a threshold value for trigger detection may be set as the storage time. In that case, the standard storage count 1102 in the standard threshold table 1100 can be set by setting the sensor detection sensitivity 1101 in substantially the same manner as described above as the time for storing the drive recorder image per unit time.

[0138] As described above, according to the second embodiment, the sensor detection sensitivity serving as a threshold for trigger detection is set according to the time required to reach the destination. Since the trigger is detected based on the set sensor detection sensitivity and the drive recorder image is saved, the drive recorder image can be saved without running out of the recording area even when the required time is long. Therefore, images for drive recorders can be reliably stored, which can be used for accident verification and accident prevention materials.

[0139] Further, according to the second embodiment, it is possible to store information relating to the running state such as the output of the various sensors 416 together with the image for the drive recorder. Therefore, more detailed accident verification and accident prevention data can be obtained, and accident verification and accident prevention can be performed reliably. In addition, the recording medium can be stored without replacement, and the drive recorder image can be stored without forcing the user to prepare a spare recording medium.

[0140] Furthermore, according to the second embodiment, the trigger detection threshold can be set in accordance with the change in the required time to the destination point. Therefore, generally things happen at the end of a long drive. However, even at the end of the drive, as the required time decreases, the sensor detection sensitivity 1101 can be increased, so that the drive recorder image can be stored reliably and in detail.

Example 3

[0141] Next, Example 3 according to the second embodiment of the present invention will be described. In the third embodiment, a case where the threshold value for trigger detection is set based on the remaining amount of the recording area in the recording medium in the navigation device 300 described in the second embodiment will be described. The peripheral device configuration of the navigation device 300 according to the third embodiment is substantially the same as that shown in FIG. The hardware configuration of the navigation device 300 according to the third embodiment is substantially the same as that shown in FIG.

[0142] (Contents of processing of navigation device 300)

Here, the contents of the processing of the navigation device 300 according to the third embodiment will be described with reference to FIG. FIG. 12 is a flowchart of the process performed by the navigation device according to the third embodiment. In the flowchart of FIG. 12, the navigation device 300 first determines whether or not the vehicle is running (step S 1201). The determination regarding the running of the vehicle may be made with reference to the outputs of the various sensors 416, for example. If the vehicle is running after waiting for the vehicle to run (step S 1201: Yes), the CPU 401 uses the remaining storage area in the recording medium such as the magnetic disk 405 or the optical disk 407. Detect (step S1202). Here, the storage area is, for example, a recording medium for storing an image for a drive recorder in the recording medium, a recording area for storage, or the like. The remaining amount may be detected by, for example, a ratio at which the drive recorder image can be stored in the storage area. In other words, the storage area may be updated at a predetermined interval. In other words, the remaining amount may be checked constantly or periodically after the first detection of the remaining amount until reaching the destination point. ,.

Next, CPU 401 sets a trigger detection threshold according to the remaining amount of the storage area detected in step S1202 (step S 1203). The threshold value for trigger detection may be, for example, the sensor detection sensitivity of a sensor serving as a trigger for storing a drive recorder image. For example, when the remaining capacity of the storage area decreases, Alternatively, the sensor detection sensitivity may be reduced. More specifically, if the remaining amount of the storage area is less than half, the sensor detection sensitivity is reduced by 30%, and if the remaining amount of the storage area is less than 30%, the sensor detection sensitivity is decreased by 50%. % May go down.

[0144] Further, the threshold according to the remaining amount of the storage area in step S1203 may be configured to be set in a plurality of stages with respect to the remaining amount updated at a predetermined interval. More specifically, the sensor detection sensitivity is reduced by 30% when the remaining amount of the storage area is less than half and 30% or more, and the sensor detection sensitivity is reduced by 50% when the remaining amount of the storage area is less than 30%. It may be configured to run. In other words, always or periodically check the remaining amount of the storage area, and if the remaining amount falls below the specified remaining amount in multiple stages, reset the threshold value according to the remaining amount detected each time Do it.

[0145] Then, the camera 417 starts capturing a drive recorder image (step S1204). The drive recorder image may be, for example, an image around the vehicle and a moving image at a certain time. The drive recorder image may be overwritten on a recording medium such as the magnetic disk 405 or the optical disk 407. Overwrite recording is, for example, recording a moving image over a certain period of time by overwriting sequentially so as not to exceed the recording capacity of the recording medium. The recording has a recording medium for overwriting recording and a recording area for overwriting recording. Record on media.

Next, CPU 401 determines whether or not a trigger has been detected based on the trigger detection threshold value set in step S1203 (step S 1205). For example, the trigger may be a trigger for storing the drive recorder image by the output of the various sensors 416 at the sensor detection sensitivity set in step S1203. More specifically, the trigger may be set when a vibration sensor detects a vibration exceeding a specified level or a predetermined vibration pattern. The predetermined vibration pattern may be a vibration pattern exhibiting an abnormality such as a sudden rising vibration. The trigger may be set when, for example, the G sensor detects a G pattern that exceeds the specified level or a predetermined G force pattern. The prescribed G force can be any pattern that shows an abnormality, such as a sudden rising G. Or, it may be configured to trigger the presence or absence of contact with the other or the operation of an airbag by the contact sensor of the vehicle body. [0147] Further, the trigger may be configured to detect the driving operation of the driver causing the dangerous behavior of the vehicle based on the output of the various sensors 416 at the sensor detection sensitivity set in step S1203, and to use the trigger. . More specifically, it may be triggered by an unusual handle operation such as a handle operation at a specified angle or a special handle operation when drowsiness occurs without giving a sudden handle or blinker exceeding the specified angular velocity. ,. In addition, acceleration exceeding the specified acceleration 'deceleration, decelerating force at intersections without signals, decelerating force with red signal (yellow signal), or special pedal operation when drowsiness occurred. It is good also as composition which uses pedal operation different from usual as a trigger. In the case of abnormal handle operation, it may be configured to register a force motion pattern and compare it with the registered motion pattern. Intersections without signals and other points that need to be stopped may be acquired based on map information recorded on the recording medium. The signal color can also be determined by the image power taken by the camera 417.

[0148] If a trigger is detected in step S 1205 (step S 1205: Yes), the recording medium such as magnetic disk 405 or optical disk 407 is a drive that has been overwritten in step S 1204! The recorder image is saved (step S1206). The drive recorder image may be, for example, configured to store images at a detection time point at which a trigger is detected in step S1205 and a predetermined time before and after the detection. In addition, a configuration in which a certain time can be set by the passenger may be configured so that when a specific behavior is detected again within a certain time from the detection time, the time to save can be extended. In addition, the drive recorder image may be stored in a storage medium or a recording medium having a storage area for storage.

[0149] Then, in step S1206, after the storage of the drive recorder image is completed, CPU 401 determines whether or not traveling of the vehicle has ended (step S1207). For example, the storage end instruction may be received via the input device 411. The storage end instruction may be, for example, a configuration in which the passenger is informed of the start of storage and the passenger operates the input device 411 to input. Alternatively, the storage may be terminated after a predetermined time has elapsed since the trigger was detected in step S1205.

[0150] If no trigger is detected in step S1205 (step S 1205: N In o), the process proceeds to step SI 207, and the CPU 401 determines whether or not the vehicle has finished traveling (step S 1207).

[0151] In step S1207, when the vehicle does not finish running (step S1207: No), step S1202 [returns and repeats the process. If the vehicle has finished running (step S1207: Yes), the series of processing ends as it is. For example, the determination regarding the traveling of the vehicle may be made with reference to the outputs of the various sensors 416. More specifically, it may be determined that the vehicle has finished traveling when the output of the various sensors 416 stops.

[0152] In the explanation of this figure, it is also possible to obtain the force and other information related to the running state of the vehicle in step S1204, which is configured to take an image around the vehicle as a drive recorder image. The information related to the running state may include, for example, vehicle operation information detected by various sensors 416 such as the vehicle speed and the passenger's behavior and speech. In this case, in step S1206, the drive recorder image may be saved and the information regarding the running state may be saved. It should be noted that at least one of the drive recorder images and the information on the driving state may be saved. The saved information may be used as verification data at the time of an accident or an accident.

[0153] In Example 3, instead of detecting the remaining amount of the storage area, the frequency of detection per unit time or the ratio of storage time is detected, and the trigger is detected when the frequency or ratio exceeds the specified value. The threshold value may be changed. Also, change the trigger detection threshold so that the frequency of savings per unit time or the percentage of saving time is about the specified value.

[0154] As described above, according to the third embodiment, the sensor detection sensitivity serving as a threshold for trigger detection is set according to the remaining amount of the storage area in the recording medium. And since the trigger is detected by the set sensor detection sensitivity and the image for the drive recorder is stored, the sensor detection sensitivity is reduced when the storage area is reduced, so that even if the storage area is small, a serious accident can be The image for the drive recorder can be saved without leaking.

[0155] Further, according to Example 3, it is generally considered that an accident is likely to occur at the end of the drive for a long time, but the storage area is not used at the beginning of the drive, and the storage area at the end of the drive is used. The image for the drive recorder can be saved surely and in detail by the sensor detection sensitivity corresponding to.

[0156] As described above, according to the second embodiment of the present invention, the detection sensitivity of the behavior of the moving object is determined according to the time required to the destination and the capacity of the recording medium, and the moving object The traveling state of the moving body when the behavior of is detected is stored in a recording medium. Therefore, it is possible to optimally store the driving state without running out of the capacity of the recording medium for storing the driving state, and to use the stored driving state for accident verification and accident prevention data.

[0157] Further, as described above, according to the present invention, the sensor detection sensitivity serving as the threshold for trigger detection is set according to the time required to reach the destination. Since the trigger is detected based on the set sensor detection sensitivity and the drive recorder image is saved, the drive recorder image can be saved without running out of the recording area even when the required time is long. Therefore, images for drive recorders can be reliably stored, which can be used for accident verification and accident prevention data.

[0158] Furthermore, according to the second embodiment, it is possible to store information relating to the running state such as the output of various sensors 416 together with the drive recorder image. Therefore, more detailed accident verification and accident prevention data can be obtained, and accident verification and accident prevention can be performed reliably. In addition, it is possible to save without changing the recording medium, and it is possible to save the drive recorder image without forcing the user to prepare a spare recording medium.

In addition, according to the second embodiment, the threshold value for trigger detection can be set according to the change in the required time to the destination point. Therefore, it is generally said that accidents are likely to occur at the end of the drive for a long time, but even at the end of the drive, as the required time decreases, the sensor detection sensitivity is increased to ensure reliable and detailed images for the drive recorder. Can be saved.

[0160] In the second embodiment, the trigger detection threshold is set according to the time required to reach the destination, but instead of calculating the time required to reach the destination, the distance to the destination is calculated. Depending on the required distance, the trigger detection threshold and value can be set. By doing so, it is possible to reliably store images for drive recorders without increasing the time calculation load, which can be used for accident verification and accident prevention data. [0161] In addition, according to Embodiment 2, the sensor detection sensitivity is set as the trigger detection threshold, but instead of setting the sensor detection sensitivity, the selection of the sensor for detecting the trigger is selected. It is good also as composition which performs. Furthermore, a threshold value itself for detecting a vehicle abnormality may be set in the sensor serving as a trigger. By doing so, the versatility of the present invention can be enhanced.

[0162] Further, Embodiment 2 only needs to have at least one of the functions of Example 2 or Example 3. For example, if the functions of Example 2 and Example 3 are provided, the sensor detection sensitivity can be set at the required time and the sensor detection sensitivity can be lowered if the remaining amount is low, so the storage area is It is possible to save the drive recorder image accurately without being lost.

[0163] Further, in the second embodiment, the drive recorder image and the traveling state of the vehicle may be transmitted to an external server that is configured to record on a recording medium, and may be managed by the external server. Further, in the present invention, if the data protection function and the data encryption function are provided, the data can be prevented from being falsified, and appropriate data can be used.

Note that the information recording method described in the first and second embodiments can be realized by executing a prepared program on a computer such as a personal computer or a workstation. This program is recorded on a computer-readable recording medium such as a hard disk, a flexible disk, a CD-ROM, an MO, and a DVD, and is executed by reading the recording medium force by the computer. Further, this program may be a transmission medium that can be distributed via a network such as the Internet.

Claims

The scope of the claims

[1] In an information recording device for overwriting and recording information on the traveling state of a moving body that is continuously input,

Determining means for determining the detection sensitivity of the behavior of the moving body;

Detection means for detecting the behavior of the moving body with the detection sensitivity determined by the determination means;

Storage means for storing, on a recording medium, information relating to the traveling state of the moving body when the detecting means detects the behavior of the moving body;

An information recording apparatus comprising:

[2] comprising an acquisition means for acquiring a driving skill of the moving body by a user;

2. The information recording apparatus according to claim 1, wherein the determination unit determines the detection sensitivity of the behavior of the moving body as a detection sensitivity corresponding to the driving skill level acquired by the acquisition unit.

[3] Setting means for setting the destination point;

Calculating means for calculating a required time to the destination set by the setting means,

2. The information recording apparatus according to claim 1, wherein the determination unit determines the detection sensitivity of the behavior of the moving body as a detection sensitivity corresponding to the required time calculated by the calculation unit.

[4] having a recognition means for recognizing the user,

The information recording apparatus according to claim 2, wherein the acquisition unit acquires a driving skill level associated with the user recognized by the recognition unit.

5. The information recording apparatus according to claim 4, wherein the acquisition unit acquires the driving proficiency level based on a user's driving history recognized by the recognition unit.

[6] The apparatus further comprises a determination means for determining the driving skill level based on the behavior of the moving body that is moving,

The information recording apparatus according to claim 2, wherein the acquisition unit acquires the driving proficiency level determined by the determination unit.

7. The information recording apparatus according to claim 3, wherein the determination unit determines the detection sensitivity so that a storage amount in the recording medium within the required time is equal to or less than a predetermined amount.

[8] having detection means for detecting the remaining amount of the recording medium,

8. The determination unit according to claim 1, wherein the determination unit determines the detection sensitivity of the behavior of the moving body as a detection sensitivity corresponding to the remaining amount detected by the detection unit. Information recording device.

[9] In an information recording method for overwriting and recording information on the traveling state of a moving body that is continuously input,

A determination step for determining the detection sensitivity of the behavior of the moving body;

A detection step of detecting the behavior of the moving object with the detection sensitivity determined by the determination step;

A storage step of storing, in a recording medium, information relating to the traveling state of the moving body when the behavior of the moving body is detected by the detecting step;

An information recording method comprising:

[10] An acquisition step of acquiring a driving skill of the moving body by a user is provided,

10. The information recording method according to claim 9, wherein the determination step determines the detection sensitivity of the behavior of the moving body as a detection sensitivity according to the driving skill acquired by the acquisition step.

[11] A setting process for setting a destination point;

Calculating a required time to the destination point set by the setting step, and

10. The information recording apparatus according to claim 9, wherein the determination step determines the detection sensitivity of the behavior of the moving body as a detection sensitivity corresponding to the required time calculated by the calculation step.

12. An information recording program for causing a computer to execute the information recording method according to any one of claims 9 to 11.

[13] A computer-readable recording medium on which the information recording program according to claim 12 is recorded.