CN118810619A - High beam reminder method, device, equipment and storage medium - Google Patents
High beam reminder method, device, equipment and storage medium Download PDFInfo
- Publication number
- CN118810619A CN118810619A CN202410879057.7A CN202410879057A CN118810619A CN 118810619 A CN118810619 A CN 118810619A CN 202410879057 A CN202410879057 A CN 202410879057A CN 118810619 A CN118810619 A CN 118810619A
- Authority
- CN
- China
- Prior art keywords
- high beam
- reminder
- level
- signal
- reminding
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Withdrawn
Links
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60Q—ARRANGEMENT OF SIGNALLING OR LIGHTING DEVICES, THE MOUNTING OR SUPPORTING THEREOF OR CIRCUITS THEREFOR, FOR VEHICLES IN GENERAL
- B60Q9/00—Arrangement or adaptation of signal devices not provided for in one of main groups B60Q1/00 - B60Q7/00, e.g. haptic signalling
Landscapes
- Engineering & Computer Science (AREA)
- Human Computer Interaction (AREA)
- Mechanical Engineering (AREA)
- Traffic Control Systems (AREA)
Abstract
本申请公开了一种远光灯提醒方法、装置、设备及存储介质，涉及车辆的智能驾驶技术领域，包括：获取远光灯信号和周围车辆信号；基于远光灯信号和周围车辆信号确定对应的提醒等级，基于提醒等级提醒车辆驾驶员关闭远光灯，提醒等级包括一级提醒、二级提醒以及三级提醒，其中，二级提醒等级大于一级提醒等级，三级提醒等级大于二级提醒等级。基于车联网技术，通过本地智能判断、同行周围车辆判断的综合方式，分级区分当前远光灯错误程度，通过不同显性程度的交互方式提醒用户。
The present application discloses a high beam reminder method, device, equipment and storage medium, which relates to the field of intelligent driving technology of vehicles, including: obtaining high beam signals and surrounding vehicle signals; determining corresponding reminder levels based on high beam signals and surrounding vehicle signals, and reminding vehicle drivers to turn off high beams based on reminder levels, wherein reminder levels include level 1 reminder, level 2 reminder and level 3 reminder, wherein the level 2 reminder level is greater than the level 1 reminder level, and the level 3 reminder level is greater than the level 2 reminder level. Based on the Internet of Vehicles technology, the current high beam error degree is graded and distinguished through a comprehensive method of local intelligent judgment and judgment of surrounding vehicles, and the user is reminded through interactive methods with different explicitness levels.
Description
Technical Field
The application relates to the technical field of intelligent driving of vehicles, in particular to a high beam reminding method, a high beam reminding device, high beam reminding equipment and a storage medium.
Background
With the continuous progress of technology and the rapid development of the automobile industry, intelligent automobile technology is becoming a reality gradually. With the increase in the number of automobiles, traffic accidents caused by the fact that drivers do not use high beam lights regularly have been rising year by year. When driving at night, improper use of the high beam may cause instantaneous blindness of the opposite driver, resulting in misjudgment of the vehicle speed and distance, and increased risk of traffic accidents. In night traffic accidents, a significant portion is caused by the driver misusing the high beam.
The main reasons for improper use of high beam lamps include: the driver is used to using the high beam and forgets to switch to the low beam; forgetting to adjust the light when driving from a road section with poor light; these actions not only pose a threat to the life safety of others, but also present themselves with a potential hazard.
The foregoing is provided merely for the purpose of facilitating understanding of the technical solutions of the present application and is not intended to represent an admission that the foregoing is prior art.
Disclosure of Invention
The application mainly aims to provide a high beam reminding method, a device, equipment and a storage medium, and aims to solve the technical problem that a high beam identification module in the prior art is not intelligent enough.
In order to achieve the above purpose, the present application provides a far-reaching headlamp reminding method, which includes:
acquiring a high beam signal and surrounding vehicle signals;
The method comprises the steps of determining corresponding reminding grades based on the high beam signals and the surrounding vehicle signals, reminding a vehicle driver to close the high beam based on the reminding grades, wherein the reminding grades comprise primary reminding, secondary reminding and tertiary reminding, the secondary reminding grades are smaller than the primary reminding grades, and the tertiary reminding grades are smaller than the secondary reminding grades.
In an embodiment, the step of determining a corresponding alert level based on the high beam signal and the surrounding vehicle signal, and alerting a vehicle driver to turn off the high beam based on the alert level includes:
when the high beam signal is wrongly started, triggering three-level reminding, and displaying characters through an instrument panel to remind.
In an embodiment, before the step of triggering the three-level reminder when the high beam signal is turned on by mistake, the method further includes:
acquiring the vehicle position information, surrounding vehicle position information, ambient light information, weather condition information and surrounding vehicle lamplight information;
And judging whether the high beam signal is wrongly started or not based on the vehicle position information, the surrounding vehicle position information, the ambient light information, the weather condition information and the surrounding vehicle lamplight information.
In an embodiment, the step of determining whether the high beam signal is turned on by mistake based on the vehicle position information, surrounding vehicle position information, ambient light information, weather condition information, and surrounding vehicle light information includes:
Judging whether the surrounding vehicle runs normally or not based on the vehicle position information, the surrounding vehicle position information and the surrounding vehicle lamplight information, if so, judging that the high beam signal is wrongly started;
If not, judging whether the brightness of the high beam reaches a preset threshold value based on the ambient light information, and if so, judging that the high beam signal is wrongly started;
if not, judging whether the condition of starting the high beam is met based on the weather condition information, and if so, judging that the high beam signal is started erroneously.
In an embodiment, the step of determining a corresponding alert level based on the high beam signal and the surrounding vehicle signal, and alerting a vehicle driver to turn off the high beam based on the alert level further includes:
When the surrounding vehicle signals comprise the far-reaching headlamp closing reminding signals, triggering a secondary reminding, displaying characters through an instrument panel and reminding through a reminding sound.
In an embodiment, the step of determining a corresponding alert level based on the high beam signal and the surrounding vehicle signal, and alerting a vehicle driver to turn off the high beam based on the alert level further includes:
When the high beam signal is wrongly started, and the surrounding vehicle signal comprises a high beam closing reminding signal, triggering three-level reminding and carrying out voice repeated broadcasting reminding of the whole vehicle.
In an embodiment, the method further comprises:
when a high beam signal from a surrounding vehicle is received, judging whether the high beam signal is started by mistake;
and when the high beam signal is wrongly started, transmitting a high beam signal to a target vehicle through the cloud.
In addition, in order to achieve the above purpose, the application also provides a far-reaching headlamp reminding device, which comprises:
The acquisition module is used for acquiring the high beam signal and the surrounding vehicle signal;
The reminding module is used for determining corresponding reminding grades based on the high beam signals and the surrounding vehicle signals, reminding a vehicle driver to close the high beam based on the reminding grades, wherein the reminding grades comprise primary reminding, secondary reminding and tertiary reminding, the secondary reminding grades are smaller than the primary reminding grades, and the tertiary reminding grades are smaller than the secondary reminding grades.
In addition, in order to achieve the above purpose, the present application also proposes a high beam reminding device, the device comprising: a memory, a processor and a computer program stored on the memory and executable on the processor, the computer program being configured to implement the steps of the high beam reminding method as described above.
In addition, in order to achieve the above object, the present application also proposes a storage medium, which is a computer-readable storage medium, on which a computer program is stored, which when being executed by a processor, implements the steps of the high beam reminding method as described above.
Furthermore, to achieve the above object, the present application provides a computer program product comprising a computer program which, when executed by a processor, implements the steps of the high beam reminding method as described above.
One or more technical schemes provided by the application have at least the following technical effects:
The application obtains the high beam signal and the surrounding vehicle signal; the method comprises the steps of determining corresponding reminding grades based on a high beam signal and surrounding vehicle signals, and reminding a vehicle driver to close the high beam based on the reminding grades, wherein the reminding grades comprise primary reminding, secondary reminding and tertiary reminding, the secondary reminding grades are larger than the primary reminding grades, and the tertiary reminding grades are larger than the secondary reminding grades. Based on the internet of vehicles technology, the current high beam error degree is classified and distinguished through a comprehensive mode of local intelligent judgment and vehicle judgment around the same line, and the user is reminded through interaction modes with different dominant degrees.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the application and together with the description, serve to explain the principles of the application.
In order to more clearly illustrate the embodiments of the application or the technical solutions of the prior art, the drawings which are used in the description of the embodiments or the prior art will be briefly described, and it will be obvious to a person skilled in the art that other drawings can be obtained from these drawings without inventive effort.
Fig. 1 is a schematic flow chart of a first embodiment of a high beam reminding method according to the present application;
fig. 2 is a block diagram of an intelligent far-reaching headlamp reminding system according to a first embodiment of the far-reaching headlamp reminding method of the present application;
Fig. 3 is a schematic flow chart provided in a second embodiment of the high beam reminding method according to the present application;
Fig. 4 is a schematic flow chart of a third embodiment of a high beam reminding method according to the present application;
fig. 5 is a schematic block diagram of a high beam reminding device according to an embodiment of the application;
fig. 6 is a schematic diagram of a device structure of a hardware operating environment related to a high beam reminding method in an embodiment of the present application.
The achievement of the objects, functional features and advantages of the present application will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the technical solution of the present application and are not intended to limit the present application.
For a better understanding of the technical solution of the present application, the following detailed description will be given with reference to the drawings and the specific embodiments.
The application provides a solution, based on the technology of the Internet of vehicles, the error degree of the current high beam is classified and distinguished by a comprehensive mode of local intelligent judgment and judgment of vehicles around the same line, and the user is reminded by interaction modes with different dominant degrees.
It should be noted that, the execution body of the embodiment may be a computing service device with functions of data processing, network communication and program running, for example, a tablet computer, a personal computer, a mobile phone, etc., or an electronic device, a high beam reminding device, etc. capable of implementing the above functions. The following describes this embodiment and the following embodiments, taking a high beam reminding device as an example.
Based on this, the embodiment of the application provides a high beam reminding method, referring to fig. 1, fig. 1 is a schematic flow chart of a first embodiment of the high beam reminding method of the application.
In this embodiment, the high beam reminding method includes steps S10 to S20:
step S10, obtaining a high beam signal and surrounding vehicle signals;
The far-reaching headlamp signal is used for judging whether the vehicle is wrongly started or not, and the surrounding vehicle signal is used for judging whether surrounding vehicles send a prompt for turning off the far-reaching headlamp or not;
as shown in fig. 2, fig. 2 is a structural block diagram of an intelligent high beam reminding system, and the intelligent high beam reminding system is divided into a local part function and a cloud part function;
The local includes two subsystems: the high beam light judging subsystem and the vehicle-mounted reminding subsystem. The high beam judgment system is divided into two parts: (1) Multiplexing the existing IHBC functions, and judging whether the current vehicle high beam is started by mistake; (2) And judging that the light of the rear vehicle or the opposite incoming vehicle reaches a threshold value by using the ambient light sensing module, the driving ambient sensing module lamp and the position information identification module, and interfering with driving.
The vehicle-mounted reminding subsystem is divided into two parts: (1) When the light of the rear vehicle or the opposite vehicle exceeds a certain threshold value, inquiring the user whether to remind the opposite vehicle to turn off the high beam; (2) On the basis of judging the first condition and the second condition, the current vehicle reminds a user through an instrument popup window, a prompt tone and a TTS;
The cloud identification system is used for all vehicles carrying intelligent high beam lights, and communication between the vehicles can be achieved through the cloud. The vehicle A can choose to inform the vehicle B to turn off the high beam, the cloud transmits the instruction to the vehicle B, and after intelligent judgment of the vehicle-mounted reminding subsystem of the vehicle B, the vehicle B is reminded to different degrees.
Step S20, corresponding reminding grades are determined based on the high beam signals and surrounding vehicle signals, a vehicle driver is reminded to close the high beam based on the reminding grades, the reminding grades comprise primary reminding, secondary reminding and tertiary reminding, the secondary reminding grades are smaller than the primary reminding grades, and the tertiary reminding grades are smaller than the secondary reminding grades.
In a specific implementation, through IHBC functions, whether the high beam of the current vehicle is started by mistake or not is judged, if yes, the condition is effective;
judging whether a high beam closing prompt sent by surrounding vehicles is received or not through the cloud, and if yes, enabling the second condition to be effective;
triggering three-level reminding as soon as the condition is effective: reminding a meter document;
and if the condition is effective, triggering a secondary reminding: the instrument document and the sound reminding;
and triggering a primary prompt if the first condition and the second condition are effective simultaneously: TTS voice broadcasting reminding;
It should be noted that IHBC functions, namely intelligent high beam control functions, can be combined with information received by various sensors to judge whether the high beam is started by mistake.
Further, when a high beam signal from a surrounding vehicle is received, judging whether the high beam signal is wrongly turned on;
and when the high beam signal is wrongly turned on, the high beam signal is turned off and transmitted to the target vehicle through the cloud.
It should be noted that, like receiving the far-reaching headlamp turn-off prompt sent by surrounding vehicles, all vehicles are interconnected through the internet of vehicles technology, the vehicles can mutually transmit signals through the cloud, whether far-reaching headlamp signals are turned on wrongly or not can be judged through the surrounding vehicles.
The embodiment provides a high beam reminding method, which comprises the steps of obtaining a high beam signal and surrounding vehicle signals; the method comprises the steps of determining corresponding reminding grades based on a high beam signal and surrounding vehicle signals, and reminding a vehicle driver to close the high beam based on the reminding grades, wherein the reminding grades comprise primary reminding, secondary reminding and tertiary reminding, the secondary reminding grades are larger than the primary reminding grades, and the tertiary reminding grades are larger than the secondary reminding grades. Based on the internet of vehicles technology, the current high beam error degree is classified and distinguished through a comprehensive mode of local intelligent judgment and vehicle judgment around the same line, and the user is reminded through interaction modes with different dominant degrees.
In the second embodiment of the present application, the same or similar content as in the first embodiment of the present application may be referred to the above description, and will not be repeated. On this basis, referring to fig. 3, in step S20, the far-reaching headlamp reminding method further includes steps S201 to S203:
step S201, when the high beam signal is wrongly started, triggering three-level reminding, and displaying characters through an instrument panel to remind.
It should be noted that, displaying characters through an instrument panel to remind is a common information transmission mode in automobiles, and allows drivers to obtain important information without diverting vision.
Step S202, when the surrounding vehicle signals comprise the high beam turn-off reminding signals, triggering a secondary reminding, displaying characters through an instrument panel and reminding through a reminding sound.
It should be noted that the alert tone alert is a simple and direct alert mode, and the alert tone may be a single beep or a more complex melody to distinguish between different types of alerts.
Step S203, when the high beam signal is wrongly turned on, and the surrounding vehicle signal comprises the high beam off reminding signal, triggering three-level reminding and carrying out voice repeated broadcasting reminding of the whole vehicle.
It should be noted that, the voice repeated broadcasting reminding of the whole vehicle, namely the TTS voice broadcasting reminding, is a technology for converting text information into voice output.
It should be understood that the user can be reminded not only through the TTS but also by combining the instrument popup window and the prompt tone.
After receiving the signal of turning off the high beam, the driver may control the high beam to automatically switch to the low beam or turn off.
It will be appreciated that in either the assisted or autonomous driving modes, the reminder system may be integrated with the vehicle's sensor and control system, providing real-time feedback regarding system status and operation.
The embodiment provides a far-reaching headlamp reminding method, the intelligent far-reaching headlamp reminding system introduces the internet of vehicles technology, intelligent identification is realized through the technical angle, and the subjective identification of drivers of the same-row vehicles is combined, so that whether the vehicle far-reaching headlamp is wrongly started or not is comprehensively judged, the accuracy of identification is improved, the interference to driving of the drivers caused by the wrongly judgment is avoided, the driving bad habit of the drivers can be corrected as much as possible, the good habit of the drivers for correctly starting the far-reaching headlamp is developed, and the traffic hidden danger is reduced. The instrument popup window, the prompt tone, the TTS broadcasting and other cabin internal interaction modes are used, the driver is more touched, the prompt is more explicit, the classification and the distinction are carried out, different prompt modes are adopted according to the meeting conditions, the normal running rhythm of the driver is not disturbed, the obvious prompt is given, and the driving safety is guaranteed.
In the third embodiment of the present application, the same or similar contents as those of the above-described embodiments can be referred to the above description, and the description thereof will be omitted. On this basis, please refer to fig. 4, step S201 includes steps S2011 to S2012:
step S2011, acquiring vehicle position information, surrounding vehicle position information, ambient light information, weather condition information and surrounding vehicle light information;
It should be noted that the above information may be obtained by various sensors, such as a camera, a radar, a LiDAR (LiDAR), etc., to obtain more comprehensive surrounding information.
Step S2012, determining whether the high beam signal is turned on by mistake based on the vehicle position information, surrounding vehicle position information, ambient light information, weather condition information, and surrounding vehicle light information.
Further, the step S2012 includes:
Judging whether the surrounding vehicle runs normally or not according to the vehicle position information, the surrounding vehicle position information and the surrounding vehicle lamplight information, if so, judging that the high beam signal is wrongly started;
It should be noted that, based on the vehicle position information, the surrounding vehicle position information, and the surrounding vehicle light information, the light pattern of the opposite or front vehicle and the distance between the two vehicles may be identified by computer vision technology, so as to determine whether the surrounding vehicle is affected.
In specific implementation, calculating the relative distance and speed between the vehicle and surrounding vehicles, and evaluating whether a potential close contact risk exists or not; identifying whether a surrounding vehicle uses a high beam and monitoring whether a vehicle continuously blinks a headlight, which may be a signal affected by the high beam, analyzing whether the use of the high beam of the host vehicle may cause glare or blockage of the line of sight of a driver of the opposite or front vehicle, and if the analysis result shows that the high beam of the host vehicle may affect the normal running of the surrounding vehicle, automatically marking the system as the high beam signal is wrongly turned on.
It will be appreciated that surrounding vehicles frequently flash headlights, which may be signals affected by high beam lights.
If not, judging whether the brightness of the high beam reaches a preset threshold value based on the ambient light information, and if so, judging that the high beam signal is wrongly turned on;
in a specific implementation, setting a brightness threshold value used by a high beam based on traffic regulations and safety standards; comparing the detected ambient light information with a brightness threshold; when the ambient light information is lower than the brightness threshold, the brightness of the high beam can be maintained or increased; if the brightness threshold value is higher than the brightness threshold value, the high beam signal is judged to be wrongly turned on, and the brightness of the high beam is reduced or turned off.
It should be noted that, the brightness of the surrounding environment can be detected by the photosensitive sensor, the use of the lamplight can be automatically adjusted, and the high beam is not needed in the urban streets with sufficient light or the road sections with street lamps for illumination.
If not, judging whether the condition of starting the high beam is met based on the weather condition information, and if so, judging that the high beam signal is started erroneously.
In weather conditions where the visibility is low, such as fog, rain, and snow, the high beam may cause reflection of light, which may reduce the visibility.
It should be appreciated that current weather condition information, including visibility, precipitation, fog concentration, etc., is collected by onboard sensors or connected to an external weather service; and judging the current visibility according to the collected weather condition information, and judging that the high beam signal is wrongly turned on when the visibility is smaller than a preset threshold value.
It should be understood that the strategy can also be combined with a machine learning algorithm, a neural network model is trained through historical driving data, whether the high beam is started by mistake is recognized through the trained neural network model, the control system learns the light use habits of a driver, and the use strategy of the high beam is optimized according to the habits.
The embodiment provides a far-reaching headlamp reminding method, which automatically detects various conditions through an integrated camera, a sensor and an algorithm and intelligently judges the switching condition of a far-reaching headlamp so as to reduce human errors and improve driving safety.
It should be noted that the foregoing examples are only for understanding the present application, and are not to be construed as limiting the method for reminding the high beam of the present application, and that many simple changes based on this technical concept are within the scope of the present application.
The application also provides a far-reaching headlamp reminding device, referring to fig. 5, the far-reaching headlamp reminding device comprises:
An acquisition module 10 for acquiring a high beam signal and surrounding vehicle signals;
The reminding module 20 is configured to determine a corresponding reminding level based on the far-reaching headlamp signal and the surrounding vehicle signal, and remind the driver of the vehicle to turn off the far-reaching headlamp based on the reminding level, where the reminding level includes a primary reminding, a secondary reminding and a tertiary reminding, and the secondary reminding level is less than the primary reminding level, and the tertiary reminding level is less than the secondary reminding level.
The high beam reminding device provided by the application can solve the technical problem that the high beam recognition module in the prior art is not intelligent enough by adopting the high beam reminding method in the embodiment. Compared with the prior art, the high beam reminding device has the same beneficial effects as the high beam reminding method provided by the embodiment, and other technical features in the high beam reminding device are the same as the features disclosed by the method of the embodiment, and are not repeated herein.
The application provides a high beam reminding device, which comprises: at least one processor; and a memory communicatively coupled to the at least one processor; the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor, so that the at least one processor can execute the high beam reminding method in the first embodiment.
Referring now to fig. 6, a schematic diagram of a high beam reminder device suitable for use in implementing an embodiment of the present application is shown. The high beam reminding device in the embodiment of the application may include, but is not limited to, mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (Personal DIGITAL ASSISTANT: personal digital assistants), PADs (Portable Application Description: tablet computers), PMPs (Portable MEDIA PLAYER: portable multimedia players), vehicle terminals (e.g., vehicle navigation terminals), and the like, and fixed terminals such as digital TVs, desktop computers, and the like. The high beam reminder device shown in fig. 6 is only an example and should not be construed as limiting the functionality and scope of use of the embodiments of the application.
As shown in fig. 6, the high beam reminding apparatus may include a processing device 1001 (e.g., a central processor, a graphic processor, etc.) that may perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM) 1002 or a program loaded from a storage device 1003 into a random access Memory (RAM: random Access Memory) 1004. In the RAM1004, various programs and data required for the operation of the high beam warning device are also stored. The processing device 1001, the ROM1002, and the RAM1004 are connected to each other by a bus 1005. An input/output (I/O) interface 1006 is also connected to the bus. In general, the following systems may be connected to the I/O interface 1006: input devices 1007 including, for example, a touch screen, touchpad, keyboard, mouse, image sensor, microphone, accelerometer, gyroscope, and the like; an output device 1008 including, for example, a Liquid crystal display (LCD: liquid CRYSTAL DISPLAY), a speaker, a vibrator, and the like; storage device 1003 including, for example, a magnetic tape, a hard disk, and the like; and communication means 1009. The communication means 1009 may allow the high beam reminder device to communicate wirelessly or by wire with other devices to exchange data. While a high beam reminder device having various systems is shown in the figures, it should be understood that not all of the illustrated systems are required to be implemented or provided. More or fewer systems may alternatively be implemented or provided.
In particular, according to embodiments of the present disclosure, the processes described above with reference to flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method shown in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network through a communication device, or installed from the storage device 1003, or installed from the ROM 1002. The above-described functions defined in the method of the disclosed embodiment of the application are performed when the computer program is executed by the processing device 1001.
The high beam reminding device provided by the application adopts the high beam reminding method in the embodiment, and can solve the technical problem that the high beam recognition module in the prior art is not intelligent enough. Compared with the prior art, the high beam reminding device has the same beneficial effects as the high beam reminding method provided by the embodiment, and other technical features in the high beam reminding device are the same as the features disclosed by the method of the previous embodiment, and are not repeated herein.
It is to be understood that portions of the present disclosure may be implemented in hardware, software, firmware, or a combination thereof. In the description of the above embodiments, particular features, structures, materials, or characteristics may be combined in any suitable manner in any one or more embodiments or examples.
The foregoing is merely illustrative of the present application, and the present application is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
The present application provides a computer-readable storage medium having computer-readable program instructions (i.e., a computer program) stored thereon for performing the distance light reminding method in the above-described embodiments.
The computer readable storage medium provided by the present application may be, for example, a U disk, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, or device, or a combination of any of the foregoing. More specific examples of the computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a random access Memory (RAM: random Access Memory), a Read-Only Memory (ROM: read Only Memory), an erasable programmable Read-Only Memory (EPROM: erasable Programmable Read Only Memory or flash Memory), an optical fiber, a portable compact disc Read-Only Memory (CD-ROM: CD-Read Only Memory), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In this embodiment, a computer-readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, or device. Program code embodied on a computer readable storage medium may be transmitted using any appropriate medium, including but not limited to: wire, fiber optic cable, RF (Radio Frequency), and the like, or any suitable combination of the foregoing.
The computer readable storage medium may be included in a high beam reminding device; or may be present alone without being fitted into the high beam warning device.
Computer program code for carrying out operations of the present application may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, smalltalk, C ++ and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of remote computers, the remote computer may be connected to the user's computer through any kind of network, including a local area network (LAN: local Area Network) or a wide area network (WAN: wide Area Network), or may be connected to an external computer (for example, through the Internet using an Internet service provider).
The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The modules involved in the embodiments of the present application may be implemented in software or in hardware. Wherein the name of the module does not constitute a limitation of the unit itself in some cases.
The readable storage medium provided by the application is a computer readable storage medium, and the computer readable storage medium stores computer readable program instructions (namely computer programs) for executing the high beam reminding method, so that the technical problem that the high beam recognition module in the prior art is not intelligent enough can be solved. Compared with the prior art, the beneficial effects of the computer readable storage medium provided by the application are the same as those of the high beam reminding method provided by the embodiment, and the description is omitted here.
The application also provides a computer program product comprising a computer program which, when executed by a processor, implements the steps of the high beam reminding method as described above.
The computer program product provided by the application can solve the technical problem that the high beam light identification module in the prior art is not intelligent enough. Compared with the prior art, the beneficial effects of the computer program product provided by the application are the same as those of the high beam reminding method provided by the embodiment, and are not repeated here.
The foregoing description is only a partial embodiment of the present application, and is not intended to limit the scope of the present application, and all the equivalent structural changes made by the description and the accompanying drawings under the technical concept of the present application, or the direct/indirect application in other related technical fields are included in the scope of the present application.
Claims (10)
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410879057.7A CN118810619A (en) | 2024-07-02 | 2024-07-02 | High beam reminder method, device, equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410879057.7A CN118810619A (en) | 2024-07-02 | 2024-07-02 | High beam reminder method, device, equipment and storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN118810619A true CN118810619A (en) | 2024-10-22 |
Family
ID=93083787
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202410879057.7A Withdrawn CN118810619A (en) | 2024-07-02 | 2024-07-02 | High beam reminder method, device, equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN118810619A (en) |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107521407A (en) * | 2017-08-24 | 2017-12-29 | 京东方科技集团股份有限公司 | A kind of vehicle head lamp control system and its control method, vehicle |
| CN111251991A (en) * | 2020-01-16 | 2020-06-09 | 深圳市盈视讯电子科技有限公司 | Driving safety auxiliary system and method |
| CN113043942A (en) * | 2019-12-26 | 2021-06-29 | 观致汽车有限公司 | Reminding method and reminding system for turning off high beam of vehicle and vehicle |
| CN114683845A (en) * | 2020-12-25 | 2022-07-01 | 上海擎感智能科技有限公司 | Vehicle instrument control method, system and computer readable storage medium |
| CN115027349A (en) * | 2022-07-19 | 2022-09-09 | 广州小鹏自动驾驶科技有限公司 | Intelligent control method, device, equipment and storage medium for vehicle high beam |
-
2024
- 2024-07-02 CN CN202410879057.7A patent/CN118810619A/en not_active Withdrawn
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107521407A (en) * | 2017-08-24 | 2017-12-29 | 京东方科技集团股份有限公司 | A kind of vehicle head lamp control system and its control method, vehicle |
| CN113043942A (en) * | 2019-12-26 | 2021-06-29 | 观致汽车有限公司 | Reminding method and reminding system for turning off high beam of vehicle and vehicle |
| CN111251991A (en) * | 2020-01-16 | 2020-06-09 | 深圳市盈视讯电子科技有限公司 | Driving safety auxiliary system and method |
| CN114683845A (en) * | 2020-12-25 | 2022-07-01 | 上海擎感智能科技有限公司 | Vehicle instrument control method, system and computer readable storage medium |
| CN115027349A (en) * | 2022-07-19 | 2022-09-09 | 广州小鹏自动驾驶科技有限公司 | Intelligent control method, device, equipment and storage medium for vehicle high beam |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US10147009B2 (en) | Display-object information displaying apparatus | |
| CN102361777B (en) | Sound generating device to the outside of the vehicle | |
| US9908410B2 (en) | Method and device for warning the driver of a motor vehicle in the event of lack of attention | |
| CN110246333B (en) | Vehicle lamp control method, device, equipment and computer readable storage medium | |
| CN114454718B (en) | Information display method and device, electronic device and storage medium | |
| CN103842232A (en) | Method for activating a driver assistance system | |
| US20220130254A1 (en) | Vehicle automation-connected pedestrian risk assessment device | |
| JP2018041328A (en) | Information presentation device for vehicle | |
| US20230234618A1 (en) | Method and apparatus for controlling autonomous vehicle | |
| CN114943956A (en) | Driving distraction identification method and system under multiple scenes and vehicle | |
| CN117642321A (en) | Autonomous vehicle takeover urgency judgment method and warning method and system | |
| CN118991812A (en) | Vehicle control method, device and equipment based on auxiliary driving | |
| JP2007249477A (en) | Onboard information transmission device | |
| US12391270B2 (en) | Systems and methods for advanced vehicular alerts | |
| JP2011175368A (en) | Vehicle control apparatus | |
| US20230141584A1 (en) | Apparatus for displaying at least one virtual lane line based on environmental condition and method of controlling same | |
| CN111923824A (en) | Vehicle high beam control method and device, vehicle and storage medium | |
| JP4877650B2 (en) | Car navigation system | |
| US11249487B2 (en) | Railroad light detection | |
| CN118810619A (en) | High beam reminder method, device, equipment and storage medium | |
| CN118618355B (en) | Emergency lane keeping method, device, equipment and storage medium | |
| CN118289023A (en) | Vehicle control method, device, equipment and storage medium | |
| CN118411844A (en) | Road information prompting method, device, equipment and storage medium based on driver sight line | |
| CN117195065A (en) | Assisted driving methods, devices, vehicles, electronic equipment and storage media | |
| CN117351777A (en) | System, method, vehicle and program product for providing pre-warning information to a target object |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WW01 | Invention patent application withdrawn after publication | ||
| WW01 | Invention patent application withdrawn after publication |
Application publication date: 20241022 |