Automobile training system
By installing sensors and cameras on the car to acquire driving information, comparing it with demonstration information to identify inappropriate actions, and generating training instruction information, the problem of existing systems being unable to evaluate driver behavior is solved, enabling effective driver training and correction.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2022-11-30
- Publication Date
- 2026-03-27
AI Technical Summary
Existing car training systems are unable to effectively evaluate drivers' driving behavior and lack mechanisms for identifying and correcting inappropriate actions.
By installing onboard cameras, peripheral cameras, distance sensors, and operational data acquisition units on the car, the system acquires the driver's driving information, compares it with pre-stored demonstration information, identifies inappropriate actions, and uses control devices to generate training instructions for evaluation and correction.
It enables objective evaluation and correction of driver behavior, prevents collisions caused by inappropriate actions, and improves training efficiency and driver skills.
Smart Images

Figure CN116343550B_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to a car training system. BACKGROUND
[0002] As a car training system of a car, there is known a structure that performs training based on, for example, a driving image that becomes a demonstration, a driving image of a trainee, and the like (for example, see Patent Literature 1).
[0003] PRIOR ART DOCUMENT
[0004] PATENT LITERATURE
[0005] Patent Literature 1: Japanese Patent No. 6415851 SUMMARY
[0006] In the technology described in Patent Literature 1, a trainee is able to objectively grasp driving by performing confirmation of an image, but does not perform evaluation regarding driving.
[0007] The present application has been achieved in view of the above-described circumstances, and an object thereof is to provide a car training system capable of appropriately evaluating driving of a driver.
[0008] A car training system according to the present application includes a car that is able to travel on a training route, and a control device that acquires driving information of a driver who drives the car on the training route, and extracts an inappropriate action in the driving of the driver from the acquired driving information and demonstration information that becomes a demonstration when the car is driven on the training route.
[0009] EFFECT OF THE INVENTION
[0010] According to the present application, it is possible to provide a car training system capable of appropriately evaluating driving of a driver. BRIEF DESCRIPTION OF DRAWINGS
[0011] Figure 1 FIG. 1 is a diagram that schematically shows one example of a car training system according to the present embodiment.
[0012] Figure 2 FIG. 2 is a functional block diagram that shows one example of the car training system according to the present embodiment.
[0013] Figure 3 FIG. 3 is a diagram that schematically shows one example of an action in the car training system.
[0014] Figure 4 FIG. 4 is a diagram that schematically shows one example of an action in the car training system.
[0015] Figure 5 FIG. 5 is a diagram that schematically shows one example of an action in the car training system.
[0016] Figure 6 A diagram illustrating an example of actions in a car training system.
[0017] Figure 7 A diagram illustrating an example of actions in a car training system.
[0018] Figure 8 A diagram illustrating an example of actions in a car training system.
[0019] Figure 9 A flowchart illustrating an example of the operation of an automotive training system.
[0020] Figure 10 Flowcharts illustrating other examples of the actions of an automotive training system. Detailed Implementation
[0021] Hereinafter, embodiments of the automotive training system according to the present invention will be described with reference to the accompanying drawings. However, the present invention is not limited to these embodiments. Furthermore, the constituent elements in the following embodiments include elements that can and are easily substituted by those skilled in the art, or elements that are substantially the same.
[0022] Figure 1 This is a diagram schematically illustrating an example of an automotive training system 100 according to this embodiment. Figure 2 This is a functional block diagram illustrating an example of the car training system 100 according to this embodiment. Figure 1 and Figure 2 As shown, the car training system 100 includes a car 10 and a control device 20.
[0023] The vehicle 10 is capable of driving on a prescribed training route. The prescribed training route includes, for example, various training routes such as those for changing direction, longitudinal parking, S-shaped maneuvers, and turns, set up at a driving school. The vehicle 10 is driven by the driver. In this embodiment, the vehicle 10 is capable of performing both normal driving (driven by the driver) and automated driving (driving automatically without the need for driver intervention).
[0024] The vehicle 10 includes an onboard camera 11, a peripheral camera 12, a distance sensor 13, an operation data acquisition unit 14, an automatic driving control unit 15, and a communication unit 16. The vehicle 10 constituting the vehicle training system 100 can be one or more vehicles.
[0025] The vehicle-mounted camera 11 captures images of the driver. The vehicle-mounted camera 11 generates driver image data corresponding to time information such as the time of capture.
[0026] The peripheral camera 12 captures images of the area around the car 10, including its front, sides, and rear. The peripheral camera 12 generates peripheral shooting data corresponding to time information such as the shooting time.
[0027] Distance sensor 13 measures the distance between the vehicle 10 and surrounding objects. Examples of distance sensors 13 include radar and LiDER (Laser Imaging Detection and Ranging). Distance sensor 13 generates distance data corresponding to time information such as the measurement time.
[0028] The operation data acquisition unit 14 acquires operation data related to the operation of the vehicle 10, such as the amount and timing of operation of the steering wheel, accelerator, brake, and other operating devices. The operation data acquisition unit 14 generates operation data by matching the acquired operation information with time information such as the time of operation.
[0029] The automatic driving control unit 15 controls the driving of the vehicle 10 during automatic driving. For example, the automatic driving control unit 15 can control the driving of the vehicle 10 based on driving instruction information sent from the control device 20 (described later).
[0030] The communication unit 16 transmits and receives information between the vehicle 10 and the control device 20. It sends the aforementioned driver-captured data, surrounding area-captured data, distance data, and operation data to the control device 20. The communication unit 16 also receives driving instruction information (described later) from the control device 20 related to the instructions for autonomous driving.
[0031] The control device 20 includes a communication unit 21, an acquisition unit 22, an extraction unit 23, a training processing unit 24, a prompting unit 25, and a storage unit 26.
[0032] The communication unit 21 transmits and receives information between the control device 20 and the vehicle 10. The communication unit 21 receives driver-captured data, surrounding area capture data, distance data, and operation data transmitted from the communication unit 16 of the vehicle 10. The communication unit 21 also transmits driving instruction information (described later) related to the instructions for autonomous driving.
[0033] The acquisition unit 22 extracts or generates driving information of the driver while driving the car on the training route based on the driver's shooting data, surrounding shooting data, distance data, and operation data received by the communication unit 21, and acquires such driving information. Driving information includes, for example, the driver's line of sight and posture, the amount and timing of operation of the control devices, the driving route of the car 10, and the distance between the car 10 and surrounding objects.
[0034] The extraction unit 23 extracts inappropriate driving actions by the driver based on the acquired driving information and the demonstration information stored in the storage unit 26. The demonstration information is information that serves as a demonstration while driving the car on a training route, and corresponds to the driver's driving information. The demonstration information includes, for example, information about the driver's required actions related to their line of sight and posture, the amount and timing of operation of the control devices, etc. Additionally, the demonstration information includes information such as the driving route of the car 10 during the demonstration actions and the distance between the car 10 and surrounding objects. Examples of demonstration information include information extracted from actual driving of the car 10 by driving instructors at driving schools, or information generated based on that information.
[0035] The extraction unit 23 detects differences between driving information and demonstration information, and extracts inappropriate actions based on the detected differences. When detecting differences, the extraction unit 23 performs a mapping between the driving information and the demonstration information. That is, it determines which of the driver's actions corresponds to which of the demonstration actions. When mapping driving information to demonstration information, the extraction unit 23 can perform the mapping based on factors such as the elapsed time since the start of driving, the relative positional relationship between the vehicle 10 and surrounding objects 30, and the distance traveled by the vehicle 10. If the difference between the driving information and the demonstration information in the mapping portion is greater than a threshold, the extraction unit 23 extracts the portion involving that difference as an inappropriate action.
[0036] For example, if a predetermined time has elapsed since the start of driving, and necessary actions such as checking the rearview mirror, operating the steering wheel, accelerator, or brake have not been performed, the extraction unit 23 can extract the driver's actions as inappropriate. When the training route instructs the car 10 to travel on a predetermined route, the extraction unit 23 can extract the driver's actions as inappropriate when it detects that the difference between the route traveled by the driver and the route in the demonstration information is greater than a threshold. Furthermore, when the driver has driven the car 10 a certain distance, the extraction unit 23 compares the distance between the car 10 and surrounding objects with the demonstration information; if the difference is greater than a threshold, it can extract the driver's actions as inappropriate. In these cases, the threshold can be set, for example, to a state where contact with surrounding objects occurs while continuing to drive as before—a value that is difficult to correct except by stopping the car 10 and restarting.
[0037] The training processing unit 24 trains the driver based on the extraction results from the extraction unit 23. For example, if an inappropriate action is extracted, the training processing unit 24 generates driving instruction information indicating that the car 10 should stop, and sends the generated driving instruction information to the car 10 from the communication unit 21. If the car 10 stops, the training processing unit 24 generates driving instruction information indicating that the stopped car 10 should move back to the corresponding position before the inappropriate action occurred, and sends the generated driving instruction information to the car 10 from the communication unit 21. Here, the corresponding position can be, for example, a position that can correct the state of the car 10 caused by the inappropriate action. Alternatively, the corresponding position can also be the starting point of the aforementioned prescribed route.
[0038] When the vehicle 10 moves to the corresponding position, the training processing unit 24 generates driving instruction information indicating that the vehicle 10 should be driven to reproduce the driver's driving from the corresponding position, and sends the generated driving instruction information from the communication unit 21 to the vehicle 10. When reproducing the driver's driving from the corresponding position, the training processing unit 24, upon identifying an inappropriate action, provides training information to the driver containing content on how to correct the inappropriate action. For example, the training information can be provided to the driver by displaying images or text on the display unit, or by outputting sound from the sound output unit.
[0039] Furthermore, the training processing unit 24 can also determine whether the driver's driving is qualified based on the extraction results of inappropriate actions from the extraction unit 23. For example, the training processing unit 24 scores the driver based on the presence or absence of inappropriate actions, and determines whether the driver is qualified or unqualified if the score is above a threshold. Moreover, if the driver has been given training information regarding inappropriate actions and then drives again, the training processing unit 24 can consider that the driver has corrected the inappropriate action if no inappropriate action is detected related to the provided training information, and thus either does not count the previous inappropriate action or reduces its impact.
[0040] Additionally, the training processing unit 24 can also enable the vehicle 10 to drive autonomously based on the demonstration information. In this case, the training processing unit 24 generates driving instruction information indicating that the vehicle 10 should be driven to perform driving based on the demonstration information, and sends the generated driving instruction information to the vehicle 10 from the communication unit 21. Alternatively, the training processing unit 24 can also provide training information containing demonstration actions to be performed while the vehicle 10 is driving autonomously. In this case, the training processing unit 24 can provide the driver with instructions on what actions to perform at what time while driving the vehicle 10, based on the demonstration information, such as through images, text, or sound. Alternatively, if the vehicle 10 is driven autonomously based on the demonstration information after the driver has driven, the training processing unit 24 can provide demonstration actions corresponding to the extracted inappropriate actions as training information, and not provide demonstration actions for actions not extracted as inappropriate actions.
[0041] The prompting unit 25 displays the aforementioned training information to the driver. The prompting unit 25 may include, for example, a display unit that shows images and text, or a sound output unit that outputs sound, such as a speaker. The prompting unit 25 may be located inside the vehicle 10, or it may be located outside the vehicle 10.
[0042] Storage unit 26 stores driver-captured data, surrounding area capture data, distance data, and operation data received from communication unit 21. Storage unit 26 also stores driving information acquired by acquisition unit 22. Storage unit 26 stores pre-generated demonstration information. When inappropriate actions are detected by extraction unit 23, storage unit 26 stores the inappropriate action in relation to the detection time.
[0043] Next, an example of the operation of the car training system 100 configured as described above will be explained. The following explanation will use the case of a direction change (parking) as training route C as an example. The same explanation can also be given for other training routes.
[0044] Before the driver starts driving, demonstration information is generated and pre-stored in storage unit 26. With the demonstration information stored in storage unit 26, the driver drives along training route C in vehicle 10. In vehicle 10, driver-captured data, surrounding-captured data, distance data, and operation data are generated by vehicle-mounted camera 11, surrounding-captured camera 12, distance sensor 13, and operation data acquisition unit 14, respectively. The generated data is transmitted to control device 20 via communication unit 16. The generation and transmission of each data can be performed in real time, for example, at a predetermined period corresponding to the frame rate of vehicle-mounted camera 11 and surrounding-captured camera 12.
[0045] The control unit 20 receives data sent from the vehicle 10 via the communication unit 21. The received data is stored in the storage unit 26. The acquisition unit 22 acquires driving information based on the received data. The acquisition unit 22 stores the acquired driving information in the storage unit 26.
[0046] The extraction unit 23 extracts inappropriate actions taken by the driver based on the acquired driving information and the demonstration information stored in the storage unit 26. The extraction unit 23 detects the differences between the driving information and the demonstration information, and extracts inappropriate actions based on the detected differences. Figures 3 to 8 This is a diagram schematically illustrating an example of the actions in the car training system 100.
[0047] For example, such as Figure 3 As shown, the extraction unit 23 compares the driver's gaze E1 in the driving information with the gaze E2 in the demonstration information and detects the differences. Figure 3 In the example, the driver's gaze E1 is directed forward, while the demonstration information shows the driver's gaze E2 directed towards the mirror. That is, the demonstration information involves checking the rearview mirror, whereas the driver does not check the mirror. Based on this difference, the extraction unit 23 extracts the driver's action as inappropriate if a predetermined time has elapsed since the start of driving without performing necessary actions such as checking the mirror. In this case, the training processing unit 24 can use the prompting unit 25 to provide audio or other prompts indicating that the driver should perform the necessary actions.
[0048] In addition, such as Figure 4 As shown, when the training route C instructs the car 10 to drive backward from the starting position P1 to the parking position P2, the extraction unit 23 can extract the driver's action as an inappropriate action when it detects that the difference D1 between the route R1 driven by the driver and the route R2 in the demonstration information is greater than a threshold.
[0049] In addition, such as Figure 5 As shown, when the driver has driven the car 10 a certain distance L from the starting position P1, the extraction unit 23 compares the distance L1 between the car 10 and the surrounding objects 30 with the situation (distance L2) in the demonstration information. If the extraction unit 23 detects that the difference between distance L1 and distance L2 is greater than a threshold, it can extract the driver's action as an inappropriate action.
[0050] exist Figure 4 and Figure 5In the illustrated case, the training processing unit 24 generates driving instruction information indicating that the vehicle 10 should be stopped, and sends the generated driving instruction information from the communication unit 21 to the vehicle 10. In the vehicle 10, the driving instruction information is received from the control device 20 via the communication unit 16. Upon receiving the driving instruction information, the automatic driving control unit 15 automatically operates the brakes based on the driving instruction information, for example, thereby stopping the vehicle 10. The automatic driving control unit 15 then sends information from the communication unit 16 to the control device 20 indicating that the vehicle 10 has stopped.
[0051] In the control unit 20, upon receiving information indicating that the vehicle 10 has stopped, the training processing unit 24 generates driving instruction information indicating that the stopped vehicle 10 should be moved back to the position corresponding to the point before the inappropriate action occurred, and sends the generated driving instruction information to the vehicle 10 from the communication unit 21. The vehicle 10 receives the driving instruction information from the control unit 20. The automatic driving control unit 15 automatically operates the steering wheel, accelerator, brakes, and other operating devices based on the received driving instruction information. Through this control, such as... Figure 6 As shown, the car 10 moves to the corresponding position P3. The automatic driving control unit 15 sends information from the communication unit 16 to the control device 20 indicating that the car 10 has moved to the corresponding position P3.
[0052] In the control unit 20, upon receiving information indicating that the vehicle 10 has moved to the corresponding position P3, the training processing unit 24 generates driving instruction information indicating that the vehicle 10 should be driven to reproduce the driver's driving from the corresponding position P3, and sends the generated driving instruction information to the vehicle 10 from the communication unit 21. The vehicle 10 receives the driving instruction information from the control unit 20. The automatic driving control unit 15 automatically operates the steering wheel, accelerator, brakes, and other operating devices based on the received driving instruction information. Through this control, such as... Figure 7 As shown, the car 10 automatically drives in a manner that reproduces the driver's driving from the corresponding position P3. When the training processing unit 24 reproduces the driver's driving from the corresponding position P3, it identifies any inappropriate actions, such as... Figure 7 As shown, the system can provide the driver with training information containing corrections for inappropriate actions through images, text, and sound. For example, the training information can include the direction the driver should be looking, the amount and timing of steering wheel adjustments, the amount and timing of accelerator adjustments, and the timing of brake adjustments. Additionally, the training information can also include the vehicle's position, distance to surrounding objects 30, and images reflected in the vehicle's rearview mirrors. When providing the training information, the vehicle may be brought to a stop.
[0053] Additionally, the training processing unit 24 can also enable the vehicle 10 to drive automatically based on demonstration information before or after the driver starts driving. The training processing unit 24 generates driving instruction information indicating that the vehicle 10 should be driven to perform driving based on the demonstration information, and sends the generated driving instruction information to the vehicle 10 from the communication unit 21. In the vehicle 10, the driving instruction information is received from the control device 20. The automatic driving control unit 15 automatically operates the steering wheel, accelerator, brakes, and other operating devices based on the received driving instruction information. Through this control, such as… Figure 8 As shown, car 10 travels along route R2 based on demonstration information. While car 10 travels along route R2, training processing unit 24 can provide the driver with training information including demonstration actions to be performed while driving, through images, text, and sound. Alternatively, if the driver initiates automatic driving of car 10 based on demonstration information after driving, training processing unit 24 will provide demonstration actions corresponding to extracted inappropriate actions as training information; for actions not extracted as inappropriate actions, no demonstration actions will be provided.
[0054] Figure 9 This is a flowchart illustrating an example of the operation of a car training system 100. (Example) Figure 9 As shown, the driver drives the car 10, and driver-captured data, surrounding data, distance data, and operation data are generated in the car 10 (step S101). The generated data are transmitted to the control device 20 via the communication unit 16 (step S102).
[0055] In the control device 20, data sent from the vehicle 10 is received via the communication unit 21 (step S103). The received data is stored in the storage unit 26. The acquisition unit 22 acquires driving information based on the received data (step S104). The acquisition unit 22 stores the acquired driving information in the storage unit 26. The extraction unit 23 extracts inappropriate actions taken by the driver based on the acquired driving information and the demonstration information stored in the storage unit 26 (step S105). If an inappropriate action is extracted ("Yes" in step S106), the training processing unit 24 performs training processing based on the extracted inappropriate action (step S107). Examples of training processing include: stopping the vehicle 10 and returning it to the corresponding position, reproducing the driver's actions from the corresponding position, and providing the driver with training information containing corrections for the inappropriate actions. In this case, the training processing unit 24 generates driving instruction information based on the training processing and sends the generated driving instruction information to the vehicle 10 via the communication unit 21. In addition, as a training measure, one example is determining a driver's competence based on the identified inappropriate actions.
[0056] On the other hand, if no inappropriate action is extracted (No in step S106), it is confirmed whether the driving of the training route is completed (step S108). If it is completed (Yes in step S108), the process ends. If it is not completed (No in step S108), the actions after step S103 are repeated.
[0057] In vehicle 10, if driving instruction information is generated and sent during the training process in step S107, the driving instruction information is received ("Yes" in step S109). The automatic driving control unit 15 enables vehicle 10 to drive automatically based on the received driving instruction information while simultaneously prompting the driver with training information (step S110). If no driving instruction information is received ("No" in step S109), it checks whether the driving of the training route has been completed (step S111). If completed ("Yes" in step S111), the process ends; otherwise, if not completed ("No" in step S111), the actions after step S101 are repeated.
[0058] Figure 10 These are flowcharts illustrating other examples of the operation of the automotive training system 100. For example... Figure 10 As shown, in the control device 20, the training processing unit 24 generates driving instruction information indicating that the car 10 should be driven to perform driving based on demonstration information, and sends the generated driving instruction information to the car 10 from the communication unit 21 (step S201). The car 10 receives the driving instruction information from the control device 20 (step S202). The automatic driving control unit 15 automatically operates the steering wheel, accelerator, brake, and other operating devices based on the received driving instruction information (step S203). When the car 10 is driving in automatic driving mode, the training processing unit 24 prompts the driver with training information including demonstration actions to be performed while driving through the prompting unit 25 using images, text, sound, etc. (step S204). In step S204, if the driver drives the car 10 automatically based on demonstration information after driving, the training processing unit 24 may also prompt the driver with demonstration actions corresponding to extracted inappropriate actions as training information, and not prompt demonstration actions for actions not extracted as inappropriate actions.
[0059] As described above, the car training system 100 according to this embodiment includes: a car 10 capable of driving on a training route; and a control device 20 that acquires driving information of the driver driving the car 10 on the training route, and extracts inappropriate actions of the driver during driving based on the acquired driving information and demonstration information that serves as a demonstration of driving the car 10 on the training route.
[0060] According to this structure, the control device 20 extracts inappropriate actions of the driver based on driving information and demonstration information. Therefore, by confirming the extracted inappropriate actions, the driver's driving can be appropriately evaluated.
[0061] In the vehicle training system 100 according to this embodiment, the vehicle 10 is capable of autonomous driving, and the control device 20 stops the vehicle 10 when it detects an inappropriate action. According to this structure, continued driving based on inappropriate actions can be prevented, thus suppressing contact between the vehicle 10 and surrounding objects.
[0062] In the car training system 100 of this embodiment, the control device 20 moves the stopped car 10 back to the position before the inappropriate action occurred based on the acquired driving information, thereby enabling the car 10 to drive automatically in the manner in which the driver drove from that position, and provides the driver with training information containing content on how to correct the inappropriate action. According to this structure, training on inappropriate actions can be conducted while the driver objectively observes their own driving.
[0063] In the car training system 100 according to this embodiment, the control device 20 determines whether the driver's driving is qualified based on the extraction results of inappropriate actions. With this structure, it is possible to effectively determine whether the driver's driving is qualified.
[0064] In the car training system 100 of this embodiment, the car 10 is capable of autonomous driving. The control device 20, based on demonstration information, enables the car 10 to drive autonomously along a training route while simultaneously providing the driver with training information containing the actions that should be performed while driving. If an inappropriate action is detected, training information containing the corresponding actions is provided. With this structure, the driver can objectively observe the demonstration driving while receiving training on inappropriate actions.
[0065] In the car training system 100 of this embodiment, the control device 20 detects the difference between driving information and demonstration information based on the distance between the car 10 and surrounding objects, and extracts inappropriate actions based on the difference. This structure enables the extraction of inappropriate actions with high precision.
[0066] The vehicle training system 100 according to this embodiment includes: a vehicle 10 capable of driving on a training route in an autonomous manner; and a control device 20 that enables the vehicle 10 to drive autonomously on the training route based on demonstration information that serves as a demonstration of driving the vehicle 10 on the training route.
[0067] According to this structure, the car 10 can be driven automatically on the training route based on demonstration information, thus enabling the driver to be trained while objectively observing the demonstration driving.
[0068] In the car training system 100 according to this embodiment, the control device 20 prompts the driver with training information containing the actions to be performed while driving, while enabling the car 10 to drive automatically. According to this structure, it is possible to show the driver a model of driving and enable the driver to grasp the actions to be performed while driving in real time.
[0069] In the car training system 100 of this embodiment, the car 10 can be driven by the driver. The control device 20 acquires driving information of the driver driving the car 10 on the training route, extracts inappropriate actions of the driver based on the acquired driving information and demonstration information, and prompts the corresponding action content of the extracted inappropriate actions. According to this structure, training that reflects the driver's driving can be carried out.
[0070] The scope of this invention is not limited to the embodiments described above, and appropriate modifications can be made without departing from the spirit of the invention. For example, in the above embodiments, a structure in which the peripheral camera 12 and the distance sensor 13 are configured on the vehicle 10 was described as an example, but it is not limited thereto. For example, a structure corresponding to the peripheral camera and distance sensor may also be configured on the training route side. Alternatively, peripheral cameras and distance sensors on both the vehicle 10 side and the training route side may be used.
[0071] Furthermore, in the above embodiment, the example described is that the control device 20 trains each individual vehicle 10, but it is not limited to this. The control device 20 can also train multiple vehicles 10 collaboratively. In In this case, driving information from multiple vehicles 10 can also be used to detect common strenuous actions by drivers, thereby strengthening training for actions that drivers are not good at.
[0072] Furthermore, in the above embodiment, the example of a car driving on an actual training route was used as vehicle 10, but it is not limited to this. For example, driving information obtained by driving the aforementioned vehicle 10 can also be used in a simulator.
[0073] Symbol Explanation
[0074] E1, E2... line of sight
[0075] L, L1, L2… distance
[0076] P1… Driving start position
[0077] P2…Parking Location
[0078] P3…corresponding position
[0079] R1, R2... routes
[0080] 10…cars
[0081] 11…Car-mounted camera
[0082] 12…surrounding cameras
[0083] 13… Distance sensor
[0084] 14… Operational Data Acquisition Department
[0085] 15…Automatic Driving Control Department
[0086] 16, 21…Ministry of Communications
[0087] 20…control device
[0088] 22…Acquisition Department
[0089] 23…Extraction Department
[0090] 24…Training Processing Department
[0091] 25… Prompt Section
[0092] 26… Storage Department
[0093] 30…objects
[0094] 100…Automotive Training System
Claims
1. An automobile training system, comprising: an automobile capable of traveling on a training course; and a control device that acquires driving information of a driver who drives the automobile on the training course, extracts an inappropriate action of the driver in the driving based on the acquired driving information and demonstration information that becomes a demonstration in driving the automobile on the training course, the automobile is capable of automatic driving, the control device stops the automobile when the inappropriate action is extracted, the control device moves the stopped automobile to return to a corresponding position before the inappropriate action occurs based on the acquired driving information, and prompts the driver with training information including content to be corrected with respect to the inappropriate action while causing the automobile to automatically drive to reproduce the driver's driving from the corresponding position.
2. The automobile training system according to claim 1, wherein the control device prompts the driver with training information including content of an action to be performed at the time of driving while causing the automobile to automatically drive on the training course based on the demonstration information, and prompts the driver with training information including the content of the action corresponding to the extracted inappropriate action when the inappropriate action is extracted.
3. The automobile training system according to claim 1 or 2, wherein the control device detects a difference between the driving information and the demonstration information based on a distance between the automobile and an object around the automobile, and extracts the inappropriate action based on the difference.
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