JP2006064440A - Navigation device - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide information highly likely to be required by a user at a timing when the user is highly likely to want to obtain peripheral facility information.
The current position and the traveling direction of the host vehicle are compared with a road map read from a map disk 106a to determine whether or not the host vehicle exits from a main road such as an expressway. If it is determined that the host vehicle is leaving the main road, the planned travel route of the host vehicle and the point of interest are predicted. The predicted planned travel route of the vehicle and the point of interest are drawn on a road map around the vehicle and displayed on the monitor 109.
[Selection] Figure 1

Description

  The present invention relates to a navigation device mounted on a vehicle.

  Even when the destination is not set, the road along the current road and the traveling direction side are set as the predicted destination area and exist in this predicted destination area, as in the case where the destination is set. Patent Document 1 discloses a navigation device that notifies facilities, city names, road information, and traffic information.

JP 2003-57049 A

  However, in the conventional navigation apparatus, a large amount of information is presented to notify all facilities, city names, road information, and traffic information existing in the prediction target area without considering the user's interest. , A problem has arisen that it is difficult for the user to find the information he needs.

  The navigation device according to claim 1, a travel route calculation means for calculating a future travel route of the host vehicle (hereinafter, “scheduled travel route”), and a point where the user is likely to request information provision Interest point prediction means for predicting as a point of interest, a display means for drawing and displaying the planned progress route calculated by the travel route calculation means, and the interest point predicted by the interest point prediction means on a road map; It is characterized by providing.

  According to the present invention, a point that should be a point of interest of a user among various facility information along the planned traveling route of the host vehicle is predicted, and information on the point is provided to the user. Thereby, it is possible to limit and provide only points that are highly likely to be required by the user, and the user can easily obtain information on the peripheral facilities that the user needs.

  FIG. 1 is a block diagram illustrating a configuration example of an embodiment of a navigation device according to the present embodiment. The navigation device 100 is mounted on a vehicle, and includes a vehicle speed sensor 101 that detects the vehicle speed of the host vehicle, a GPS unit 102 that receives a GPS signal from a GPS satellite and detects the current position of the host vehicle, and a traveling direction of the host vehicle. A gyro sensor 103 to detect, a microphone 104 for inputting a user's utterance voice, a utterance switch 105 pressed by the user at the start of utterance, and a disk for reading a map disk 106a for storing map data and voice data of guidance voice As will be described later, a reading device 106, a control device 107 that recognizes voice data input through the microphone 104, a speaker 108 that outputs voice, a map, a menu screen, and a voice recognition result by the control device 107 are displayed. Monitor 109, memory 110, VICS information including traffic jam information, And a VICS information receiver 111 for receiving ie road information.

  The memory 110 includes an operation function dictionary 110b that stores vocabulary used for operation of the navigation device 100, that is, voice data of operation commands, and a place name / facility name dictionary 110c that stores voice data of proper nouns such as place names and facility names. A voice recognition dictionary 110a that reads voice data from the operation function dictionary 110b and the place name / facility name dictionary 110c and stores the voice data as a standby word at the time of voice recognition execution, and a destination or route set by the user in the past A history memory 110b that records a location (hereinafter referred to as “visit location”) and a travel route at that time (hereinafter referred to as “travel history”), and a visit location set by the user and a route search. And a planned visiting place / route memory 110e for storing the route to the determined visiting place.

  In navigation device 100 according to the present embodiment, a user inputs an operation command by voice through microphone 104, and control device 107 converts voice data of the operation command input through microphone 104 into voice recognition dictionary 110a. The standby word stored in is matched with the standby word, and the standby word with the highest degree of matching is determined as the speech recognition result. Then, various processes are executed based on the recognized operation command. For example, when a destination setting command is uttered by the user, a route to the set destination is searched and route guidance is started.

  The control device 107 also reads the road map around the host vehicle from the map disk 106a, and the road information received by the VICS information receiving device 111 on the planned travel route of the host vehicle on the road map, A point requesting provision of information such as facility information, that is, a point of interest to be described later is displayed. Then, the name of the point of interest is read from the place name / facility name dictionary 110c into the speech recognition dictionary 110a, and the speech recognition is enabled when the name of the point of interest is uttered by the user.

  FIG. 2 is a flowchart showing the operation of the navigation device 100 of the present embodiment. The processing shown in FIG. 2 is executed by the control device 107 as a program that starts when an ignition switch (not shown) is turned on. In step S1, it is determined whether or not an ignition switch (not shown) is turned off. If it is determined that the ignition switch has been turned off, the process ends. If it is determined that the ignition switch is not turned off, the process proceeds to step S2. In step S2, it is determined whether the VICS information receiving apparatus 111 has received road information such as traffic jam information. If the road information is received, the process proceeds to step S3, the received road information is stored in the memory 110 together with the reception time, and the process proceeds to step S4. On the other hand, if the road information is not received, the process proceeds to step S4 as it is.

  In step S4, based on the outputs from the GPS unit 102b and the gyro sensor 103, the current position and the traveling direction of the host vehicle are specified, and the process proceeds to step S5. In step S5, the current position and the traveling direction of the host vehicle are compared with the road map read by the disc reader 106, and it is determined whether or not the host vehicle leaves the main road such as an expressway. If it is determined that the host vehicle does not leave the main road, the process proceeds to step S11 described later. On the other hand, if it is determined that the host vehicle leaves the main road, the process proceeds to step S6.

  In step S6, a travel route prediction process, which will be described later with reference to FIG. In step S7, the road information on the planned travel route of the host vehicle predicted (calculated) in the travel route prediction process is read from the memory 110, and provided road information with road information added to the planned travel route is generated. Thereafter, the process proceeds to step S8, where an interest point prediction process, which will be described later with reference to FIG. 4, is executed to predict an interest point where the user is requesting provision of information such as a facility name and facility information. move on.

  In step S9, a place name or facility name that the user may utter is extracted based on the generated provided road information and the predicted point of interest, and voice data of the corresponding place name is extracted from the place name / facility name dictionary 110c. And the voice data of the facility name are read and stored in the voice recognition dictionary 110a as standby words at the time of voice recognition execution. Furthermore, in accordance with the current system state, the voice data of the operation command necessary for the operation of the navigation device 100 is read from the operation function dictionary 110b and stored as a standby word in the voice recognition dictionary 110a. Then, it progresses to step S10.

  In step S10, as shown in FIG. 10 to be described later, the provided road information and the point of interest are drawn on a road map around the host vehicle and output via the monitor 109. At the same time, a guidance for notifying the user that the system is ready for voice input, that is, voice input is possible is output via the speaker 108, and the process proceeds to step S11. In step S11, it is determined whether or not an operation command has been input by the user via the microphone 104. If it is determined that no operation command has been input, the process returns to step S1 and the above-described processing is repeated. On the other hand, if it is determined that an operation command has been input, the process proceeds to step S12.

  In step S12, processing is executed based on the operation command input by voice by the user. For example, when an operation command for setting a point of interest displayed on the monitor 109 as a destination is input, a route with the point as the destination is searched and the destination is reached based on the searched route. Initiate route guidance. Alternatively, when an operation command for requesting provision of detailed information on a point of interest is input, detailed information such as the name and address of the point (facility) is read from the map disk 106a, and the speaker 108 and the monitor 109 are read. Output via.

  Next, the travel route prediction process executed in step S6 will be described. FIG. 3 is a flowchart showing the flow of the travel route prediction process in the present embodiment. In step S21, it is determined whether or not the currently set destination and the route to the destination are stored in the planned visit / route memory 110e, and the route to the destination is already set by the user. Judge whether or not. If the route has been set, the process proceeds to step S22, the set route is predicted as the planned travel route of the host vehicle, and the travel route prediction process is terminated. On the other hand, if the route has not been set, the process proceeds to step S23.

  In step S23, it is determined whether or not only the set destination is stored in the planned visited / route memory 110e. If only the destination has been set, the destination has been set by the user, but it can be determined that the route search has not been executed, so the process proceeds to step S24, where a route to the set destination is searched. . Thereafter, the process proceeds to step S25, the searched route is predicted as the planned traveling route of the host vehicle, and the traveling route prediction process is terminated. On the other hand, if the destination is not set, the process proceeds to step S26.

  In step S26, it is determined with reference to the history memory 110d whether the vehicle has left the main road in the past at the same point where the vehicle left the main road. If there is a history of exiting from the main road at the same point in the past, the process proceeds to step S27, and when the vehicle exits from the main road at the same point in the past, the route traveled by the host vehicle is read from the history memory 110d and The route is predicted as one of the scheduled progress routes, and the process proceeds to step S28. At this time, when a plurality of routes on which the host vehicle has traveled after exiting the main road at the same point in the past, all routes are predicted as planned travel routes. On the other hand, if there is no history of leaving the main road at the same point in the past, the process proceeds directly to step S28.

  In step S28, with reference to the history memory 110d, it is determined whether or not the host vehicle has left the main road immediately after entering the main road. For example, it is determined whether or not the vehicle has left the main road for less than 5 minutes after entering the main road. If it is determined that the vehicle has left the main road immediately after entering the main road, the user may have entered the main road by mistake. It can be predicted that the vehicle will continue to travel after returning to the road. Therefore, in this case, the process proceeds to step S29, where an optimum route for returning to the road that was running before entering the main road is searched for, and the route is predicted as one of the scheduled progress routes. The process proceeds to step S30. On the other hand, if it is determined that the vehicle has not left the main road immediately after entering the main road, the process proceeds directly to step S30.

  In step S30, as will be described later with reference to FIG. 5, there is a travel route between the point where the vehicle leaves the main road (main road exit) and the next entrance to the same main road (next main road entrance). A range is set, a route from the main road exit to the next main road entrance existing within the travel route existence range is searched, and all the searched routes are predicted as planned travel routes. Thereafter, the travel route prediction process is terminated.

  Next, the interest point prediction process executed in step S8 will be described. FIG. 4 is a flowchart showing the flow of interest point prediction processing in the present embodiment. In step S41, it is determined whether the destination has been set, that is, whether the set destination has been stored in the planned visited / route memory 110e. If the destination has been set, the process proceeds to step S42, and the set destination is predicted to be a point where the user requests related information of the destination, that is, a point of interest, and step Proceed to S43. On the other hand, if only the destination is not set, the process proceeds to step S43 as it is.

  In step S43, as will be described later with reference to FIG. 6, it is determined with reference to the history memory 110d whether or not the vehicle has left the main road in the past at the same point where the vehicle left the main road. . If there is a history of exiting from the main road at the same point in the past, the process proceeds to step S44, the final destination when the main road was exited at the same point in the past is read from the history memory 110d, and the final destination is of interest. Predicting that it is the target point, the process proceeds to step S45. On the other hand, if there is no history of leaving the main road at the same point in the past, the process directly proceeds to step S45.

  In step S45, it is determined with reference to the history memory 110d whether or not a destination set in the past exists on the planned travel route of the host vehicle predicted by the travel route prediction process described above with reference to FIG. If it is determined that the destination set in the past exists on the planned travel route of the host vehicle, the process proceeds to step S46. In step S46, a past destination existing on the planned travel route of the subject vehicle is predicted to be a point of interest, and the process proceeds to step S47. On the other hand, when it is determined that the destination set in the past does not exist on the planned traveling route of the host vehicle, the process proceeds to step S47 as it is.

  In step S47, as will be described later with reference to FIG. 7, it is checked whether or not an entrance of a main road different from the main road from which the own vehicle has exited exists on the planned progress route of the own vehicle predicted by the travel route prediction process. . If it is determined that there is an entrance of a main road that is different from the main road from which the host vehicle has exited on the scheduled travel route of the host vehicle, the process proceeds to step S48, and a main road that is different from the main road from which the host vehicle has exited is determined. The entrance point is predicted to be a point of interest, and the process proceeds to step S49. On the other hand, if it is determined that there is no entrance of a main road different from the main road from which the host vehicle has left on the planned travel route of the host vehicle, the process proceeds to step S49.

  In step S49, as will be described later with reference to FIG. 8, for the destinations set in the past stored in the history memory 110d, the number of destinations set for each destination genre, that is, the total number of visits is calculated. . Then, it is determined whether or not a facility (point) included in the destination genre is equal to or more than the predetermined number of visits, for example, three or more times, on the planned travel route of the host vehicle. If it is determined that a facility included in the destination genre where the total number of visits is greater than or equal to the predetermined number of times is on the planned travel route of the host vehicle, the process proceeds to step S50, and the point where the facility exists is the point of interest. Predict and go to step S51. On the other hand, if it is determined that there is no facility included in the destination genre where the total number of visits is equal to or greater than the predetermined number, the process proceeds directly to step S51.

  In step S51, it is determined whether or not a spot serving as a landmark exists on the planned travel route of the host vehicle. A landmark is a main point such as a station, a tourist spot, a public office, an interchange, and a junction, and is stored as landmark data in the map disk 106a. If it is determined that there is a landmark point on the planned travel route of the host vehicle, the process proceeds to step S52, where the landmark point is predicted to be an interest point, and the interest point prediction process is performed. finish. On the other hand, when it is determined that there is no landmark point on the planned travel route of the host vehicle, the interest point prediction process is terminated as it is.

  Hereinafter, specific examples of processing in the above-described travel route prediction processing and interest point prediction processing will be described with reference to FIGS. FIG. 5 is a diagram showing a specific example of the process for setting the travel route existence range described above in step S30 of FIG. When the own vehicle 51 exits from the main road exit 52 while the host vehicle 51 is traveling on the main road 50 toward the main road exit 53, the next main road exit 52 from the main road exit 52 from which the own vehicle 51 exits the main road 51 A range 70 between the road exit, that is, the range between the next main road entrance 53 and the vicinity of the next main road entrance 53, for example, the predetermined range from the next main road entrance 53 is set as the travel route existence range. Then, all routes from the main road exit 52 to the next main road entrance 53 existing within the travel route existence range 70 are predicted as planned travel routes.

  Next, referring to FIG. 6, the process of predicting the subsequent route as the scheduled progress route when exiting the main road at the same point in the past, as described in steps S26 and S27 of FIG. 3, and step S43 of FIG. The specific example of the process which estimates that the last destination when it left the main road in the past at the same point in step S44 is an interest point is shown. When it is detected that the host vehicle 51 has exited the main road 50 from the main road exit 52, the subsequent time when the host vehicle exited from the main road exit 52 in the past is determined from the travel history stored in the history memory 110 d. For example, when the route 62 is extracted as the travel route, the route 62 is predicted as one of the scheduled travel routes. Further, when, for example, a point 61 (Futakotamagawa Ryokuchi Park) is extracted as a final destination as a result of traveling on the route 62 from the past traveling history, the point 61 is predicted to be a point of interest. .

  Next, according to FIG. 7, the entrance of the main road different from the main road on which the own vehicle exiting on the planned travel route described above in step S47 and step S48 in FIG. 4 is predicted to be the point of interest. A specific example of processing will be shown. When it is detected that the host vehicle 51 has exited the main road 50 from the main road exit 52, the host vehicle has exited on the planned travel route of the host vehicle based on the road map around the host vehicle read from the map disk 106a. It is examined whether or not there is a main road entrance different from the main road. As a result, for example, when it is determined that there is an entrance 72 of the main road 71 different from the main road from which the own vehicle has left on the scheduled travel route of the own vehicle, the entrance 72 is predicted to be a point of interest. .

  Next, according to FIG. 8, on the planned traveling route of the host vehicle included in the destination genre where the total number of destination setting times for each destination genre described above in step S49 and step S50 in FIG. A specific example of processing for predicting an existing point as a point of interest will be shown. For the destinations set in the past stored in the history memory 110d, the number of destinations set for each destination genre, that is, the total number of visits is calculated. As a result, for example, when the total number of visits for each destination genre as shown in FIG. 9 is calculated, the total number of visits is a predetermined number of times, for example, three or more destination genres such as “Ramen shop”, “Family”. Among the facilities included in the “golf course”, the location of the facility existing on the planned traveling route of the host vehicle, for example, “Kawasaki International Golf Course” 74 is predicted as the point of interest.

  As shown in FIG. 10, the road map around the own vehicle as shown in FIG. 10 shows the planned travel routes of the plurality of own vehicles predicted by the above-described processing, the road information on each planned travel route, that is, the provided road information and the plurality of points of interest. The image is drawn above and displayed on the monitor 109. Then, voice recognition dictionary 110a uses the names of points of interest, for example, voice data of “Kawasaki International Golf Course”, “Futakotamagawa Ryokuchi Athletic Field”, and “Takaido IC” as standby words at the time of voice recognition from the place name / facility name dictionary 110c. When the name of the point of interest is uttered by the user, voice recognition is enabled.

According to the present embodiment described above, the following operational effects can be obtained.
(1) When the own vehicle leaves a main road such as an expressway, the planned traveling route of the own vehicle and the point of interest are predicted and provided to the user. Accordingly, the provided road information and the point of interest can be provided at a timing when the user is likely to want to obtain information on the surrounding facilities and the like.
(2) The road information is displayed only on the planned travel route of the host vehicle, and the road information of a road on which the host vehicle is not scheduled to travel, that is, a road that does not need to be displayed, is not displayed. As a result, the user can obtain only the road information of the necessary road, and can delete the unnecessary information to make the map display easy to see.

(3) The voice data of the name of the point of interest displayed on the monitor is read from the place name / facility name dictionary 110c into the voice recognition dictionary 110a to enable voice recognition. As a result, it is possible to reduce the amount of memory used compared to the case where voice data of place names and facility names that always exist in the vicinity of the host vehicle is stored in the voice recognition dictionary 110a, and further, a standby that is subject to matching processing. By limiting the words, it is possible to improve the speech recognition processing speed and the speech recognition accuracy.
(4) If there is a history of leaving the main road at the same point in the past at the same point where the own vehicle left the main road, The traveled route is predicted to be the planned travel route of the vehicle. As a result, even if the destination is not set, if the vehicle has left the main road at the same point in the past, the planned traveling route of the host vehicle can be predicted.

(5) If it is determined that the vehicle has left the main road immediately after entering the main road, search for a route to return to the road that was traveling before entering the main road. Therefore, the route is predicted to be a planned traveling route and displayed on the monitor 109. As a result, even if the user accidentally enters the main road, a return route to the original road can be obtained, so that the user can return to the original road without panicking.
(6) When the host vehicle is traveling at a point where it has never traveled, and the host vehicle leaves the main road, the point where the host vehicle leaves the main road and the next entrance to the same main road All routes existing within the range of travel routes set between them are further predicted as planned travel routes, and points of interest around the planned travel routes are displayed. This makes it possible to provide the user with a point of interest even when traveling on a road that has never traveled in the past without setting a destination.

(7) If there is a history of leaving the main road at the same point in the past at the same point where the host vehicle left the main road, you are interested in the final destination when you left the main road at the same point in the past. Predict that it is a target point. In addition, when a destination set in the past exists on the planned traveling route of the host vehicle, the destination is predicted to be a point of interest. Further, when there is an entrance of a main road different from the main road from which the own vehicle has left on the planned travel route of the own vehicle, the entrance is predicted to be a point of interest. As a result, even when the destination is not set, it is possible to predict a point where the user is highly likely to request information provision and to provide information to the user.

(8) For the destination set in the past, the total number of visits for each destination genre is calculated, and the calculated total number of visits is included in the destination genre that is greater than or equal to the predetermined number of times and is on the planned travel route of the host vehicle We predicted that the site where there is a facility existing in is the point of interest. As a result, facilities that are included in the facility genre often used by users are likely to match the user's preferences, and are interested in considering that users are likely to seek information. The target point can be predicted.
(9) A point that is a landmark on the planned traveling route of the host vehicle is predicted as a point of interest. Accordingly, landmarks existing around the planned travel route of the host vehicle, that is, information about the surrounding facilities can be provided to the user.

In addition, it can also deform | transform as follows.
(1) In the above-described embodiment, only when the own vehicle leaves the main road, the travel route prediction process and the interesting point prediction process are executed, and the provided road information on the road map around the own vehicle, In addition, an example in which a point of interest is drawn and output via the monitor 109 has been described. However, the execution timing of each of the above processes is not limited to the case where the host vehicle leaves the main road.

(2) In the above-described embodiment, an example in which the user operates the navigation device 100 by inputting an operation command by voice through the microphone 104 is described. However, the present invention is not limited to this, and is mounted on a joystick or the monitor 109, for example. It may be operated with a touch panel, or may be operated with another input device.
(3) In this case, a shortcut for the point of interest may be drawn on the road map so that the user can select the shortcut displayed on the monitor 109 with a joystick or touch panel input device. Then, when the user selects a shortcut, information on the point of interest corresponding to the shortcut may be displayed on the monitor 109. As a result, the user can more easily obtain information on the point of interest.

(4) In the above-described embodiment, in FIG. 7, the entrance 72 of the main road 71 different from the main road on which the host vehicle has left on the planned travel route of the host vehicle is predicted as the point of interest. However, it is determined that there is a possibility that the user is requesting information on the route 73 from the current position of the host vehicle to the point of interest (entrance) 72, for example, “Eight-way street”, and the route 73 may also be predicted to be a point of interest (interesting road).
(5) Also in FIG. 8, the location 74 of the facility existing on the planned travel route of the host vehicle is predicted to be a point of interest. However, the route 75 from the current position of the host vehicle to the point of interest 74, for example, “Prefectural Road 3”, may also be predicted as the point of interest (interesting road). Further, it may be predicted that all scheduled travel route names predicted in the present embodiment, for example, highway names and national road names are interest roads).

  The correspondence between the constituent elements of the claims and the embodiment will be described. The microphone 104 corresponds to voice input means, and the control device 107 corresponds to exit detection means, travel route calculation means, interest point prediction means, and voice recognition means. The monitor 109 corresponds to display means, the VICS information receiving device 111 corresponds to road information acquisition means, the history memory 110d corresponds to history storage means, and the joystick and touch panel correspond to input means. Note that the present invention is not limited to the configurations in the above-described embodiments as long as the characteristic functions of the present invention are not impaired.

It is a block diagram which shows the structural example of one Embodiment of the navigation apparatus in this Embodiment. 4 is a flowchart showing the operation of the navigation device 100. FIG. It is a flowchart figure which shows the flow of a travel path | route prediction process. It is a flowchart figure which shows the flow of an interest point prediction process. It is a figure which shows the specific example of the process which sets a travel path presence range. A process that predicts the subsequent route when leaving the main road at the same point in the past as a planned progress route, and a process that predicts the final destination when leaving the main road at the same point in the past as a point of interest It is a figure which shows the specific example of. It is a figure which shows the specific example of the process which estimates that the entrance of the main road different from the main road where the own vehicle which exists on the schedule progress path | routes exited is an interest point. It is a figure which shows the specific example of the process which estimates that the point which exists on the plan progress path | route of the own vehicle included in the destination genre where the destination setting frequency | count for every destination genre is more than predetermined number of times is an interest point. is there. It is a figure which shows the specific example of the total visit count calculated for every destination genre. It is a figure which shows the specific example which drawn provided road information and several points of interest on the road map around the own vehicle.

Explanation of symbols

DESCRIPTION OF SYMBOLS 100 Navigation apparatus 101 Vehicle speed sensor 102 GPS unit 103 Gyro sensor 104 Microphone 105 Speech switch 106 Disk reader 106a Map disk 107 Controller 108 Speaker 109 Monitor 110 Memory 110a Voice recognition dictionary 110b Operation function dictionary 110c Place name / facility name dictionary 110d History Memory 110e Scheduled visit location / route memory 111 VICS information receiver

Claims (8)

A travel route calculating means for calculating a future travel route of the vehicle (hereinafter, “scheduled travel route”);
A point of interest prediction means for predicting a point of interest as a point of interest, where the user is likely to request information,
A navigation apparatus comprising: a display unit that draws and displays information on a planned travel route calculated by the travel route calculation unit and an interest point predicted by the target point prediction unit on a road map. The navigation device according to claim 1, wherein
It further comprises road information acquisition means for acquiring road information including traffic jam information,
The navigation device characterized in that the display means displays the road information acquired by the road information acquisition means on the planned travel route calculated by the travel route calculation means. The navigation device according to claim 1 or 2,
The display means displays a shortcut as information on the point of interest on the road map, and displays facility information of the point of interest corresponding to the selected shortcut when the shortcut is selected by the input means. A navigation device characterized by that. The navigation device according to claim 1 or 2,
Voice recognition means further comprising voice recognition means for performing voice recognition processing by matching the standby data of the name of the point of interest stored in advance with the voice data input via the voice input means,
The display means displays a point of interest name as information on the point of interest on a road map, and when the point of interest name is voice-recognized by the voice recognition means, the facility of the recognized name of the point of interest is recognized. A navigation device characterized by displaying information. The navigation device according to any one of claims 1 to 4,
A history storage means for storing the history of the travel route of the host vehicle and the history of the visited place;
The travel route calculation means calculates the scheduled travel route based on the current position of the host vehicle and the history of the travel route of the host vehicle stored in the history storage means,
The navigation device according to claim 1, wherein the site of interest prediction unit predicts the site of interest based on a current position of the host vehicle and a history of visited places stored in the history storage unit. The navigation device according to any one of claims 1 to 5,
The vehicle further comprises exit detection means for detecting that the own vehicle has exited the main road,
The travel route calculation means calculates the scheduled travel route when the exit detection means detects that the host vehicle has left the main road,
The navigation device according to claim 1, wherein the interesting point prediction unit predicts the interesting point when the departure detecting unit detects that the own vehicle has left the main road. The navigation device according to claim 6, wherein
When the exit detection means detects that the own vehicle has exited from the main road, the travel route calculation means is less than a predetermined time from the last entry to the main road until the exit. In this case, the navigation apparatus is characterized in that a route from a current position to a road that has been running immediately before entering the main road is calculated as the planned progress route. The navigation device according to claim 7,
The travel route calculation means is configured to automatically calculate the planned travel route based on the current position of the host vehicle and the history of the travel route of the host vehicle stored in the history storage means. Predicting the planned travel path based on the point where the vehicle is detected to leave the main road and the next entry point of the main road;
When the point of interest prediction unit cannot predict the point of interest based on the current position of the host vehicle and the history of the travel route of the host vehicle stored in the history storage unit, A navigation apparatus that predicts an entrance point of the vehicle as the point of interest.

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