JP7143482B2 - Information processing method - Google Patents

Description

The present disclosure relates to an information processing device mounted on a vehicle capable of automatically driving and a program for operating the information processing device.

In recent years, research has been conducted on self-driving cars (robot cars) in which a machine drives the vehicle instead of the driver.

However, at the present stage, there are technical issues with fully automated driving, i.e., automated driving in which a machine drives a vehicle without human intervention. Manual operation is required.

Therefore, for example, Patent Literature 1 proposes a technique of displaying a guide to the driver to shift to manual driving in advance before the driving mode shifts from automatic driving to manual driving. As a result, the driver can be made to recognize in advance the possibility that the automatic driving will be canceled before the driving mode shifts to the manual driving.

JP 2015-178332 A

However, the driver sitting in the driver's seat during automatic driving tends to be in a relaxed state. Therefore, when the driving mode suddenly shifts to manual driving regardless of the driver's intention, the driver's stress increases rapidly, and the driver may panic. Furthermore, an accident may occur. Even if the shift guidance is displayed before the shift of the driving mode as in the technique disclosed in Patent Document 1, the driver cannot sufficiently recognize that the shift to manual driving is carried out in a panic state. there is a risk of becoming

The present disclosure has been made in view of the above circumstances, and information that can reduce the risk of a driver panicking when the driving mode of an automatically operable vehicle shifts from automatic driving to manual driving. An object of the present invention is to provide a processing device and a program for operating the information processing device.

To achieve the above object, an information processing method according to one aspect of the present disclosure is an information processing method in an information processing device, which acquires environment specifying information for specifying an environment in which an automatically operable vehicle is placed. an environment information acquisition unit for determining whether a training condition for driving training in the vehicle for the driver of the vehicle is satisfied based on the environment identification information; and a determination unit that determines that the training condition is satisfied and an output unit that outputs instruction information for canceling automatic driving of the vehicle in response to the above, and the determination unit is configured to compare the environment specified from the environment specifying information with the environment indicated by the training conditions. It is determined whether the training condition is satisfied accordingly.

These general or specific aspects may be realized by a system, method, integrated circuit, computer program, or recording medium such as a computer-readable CD-ROM. Any combination of programs and recording media may be used.

According to one aspect of the present disclosure, an information processing device and the information processing that can reduce the risk of a driver panicking when the driving mode of an automatically operable vehicle shifts from automatic driving to manual driving A program is provided for operating the device.

1 is a diagram showing an example of a configuration of an information processing system including a vehicle and a server according to Embodiment 1; FIG. 1 is a block diagram showing an example of a configuration of an information processing device according to Embodiment 1; FIG. A diagram showing an example of the configuration of environment information according to the first embodiment. A diagram showing an example of the configuration of user skill information according to Embodiment 1 FIG. 2 shows a display example of the instrument panel of the vehicle according to Embodiment 1. FIG. FIG. 2 shows a display example of the instrument panel of the vehicle according to Embodiment 1. FIG. FIG. 2 shows a display example of the instrument panel of the vehicle according to Embodiment 1. FIG. 4 is a flowchart showing an overview of driving training start processing performed by the information processing apparatus according to the first embodiment; Flowchart showing details of driving training start processing performed by the information processing apparatus according to Embodiment 1 Flowchart showing end processing of driving training performed by the information processing apparatus according to Embodiment 1 FIG. 11 is a block diagram showing an example of the configuration of an information processing device according to Embodiment 2; Flowchart showing return processing to automatic driving performed by the information processing device in the second embodiment The figure which shows the example of a display of the instrument panel of the vehicle in the modification of Embodiment 2.

(Findings on which one aspect of the present disclosure is based)
As described above, in recent years, research has been conducted on self-driving cars (robot cars) in which a machine drives the vehicle instead of the driver, but there are technical issues with fully-automated driving.

Therefore, at the present stage, the general technology is that the driver sits in the driver's seat and manually drives the vehicle in situations where automatic driving is impossible. In fact, attempts are being made to commercialize self-driving cars that can be driven manually by the driver.

However, in an automatic driving vehicle in which the driver can manually drive, the driving mode may suddenly shift from automatic driving to manual driving regardless of the driver's intention. An imaginary driver may panic and become unable to drive accurately. In the worst case, an accident may occur.

In view of the above, the inventor came to the idea of having the driver perform manual driving training based on the transition from automatic driving.

In order to solve such a problem, an information processing device according to an embodiment of the present disclosure is an information processing device mounted on a vehicle capable of automatically driving, and is configured to identify an environment in which the vehicle is placed. an environment information acquisition unit that acquires environment identification information; a determination unit that determines, based on the environment identification information, whether training conditions for driving training in the vehicle for the driver of the vehicle are satisfied; and an output unit that outputs instruction information for canceling the automatic operation of the vehicle in response to determination that the conditions are satisfied.

With this configuration, the driver can train manual driving based on the transition from automatic driving, so even if the driving mode suddenly shifts from automatic to manual driving, the risk of the driver panicking is reduced. can be made

Here, for example, the determination unit may determine whether the training condition is satisfied according to a comparison result between the environment specified from the environment specifying information and the environment indicated by the training condition.

Further, for example, the training conditions may include conditions set according to skill information of the driver.

Further, for example, the skill information may be the propriety of driving in a specific environment or the degree of proficiency.

Further, for example, the training conditions include conditions related to previous training, further comprising a training information acquisition unit that acquires training information related to the previous training, and the determination unit further includes, based on the training information, It may be determined whether the conditions for the training of are met.

Further, for example, the condition regarding the previous training includes that a predetermined time has passed since the previous training was performed, and the training information specifies the elapsed time since the previous training was performed. The determination unit may determine whether the elapsed time specified from the training information exceeds the predetermined time.

Further, for example, the condition related to the previous training includes that the vehicle has traveled a predetermined distance since the previous training was performed, and the training information includes the distance from the time when the previous training was performed. Information for specifying a travel distance of the vehicle may be included, and the determination unit may determine whether the travel distance specified from the training information exceeds the predetermined distance.

Further, for example, a presentation control unit may further be provided that controls presentation to the effect that the driving training will be performed before the automatic driving of the vehicle is canceled.

Further, for example, setting instruction information for automatic driving to the output unit based on the difference between the driving information of the vehicle during the driving training and the driving information estimated when automatic driving is performed in the vehicle You may provide the monitoring part which outputs.

With this configuration, the driving mode can be switched to automatic driving when the driver incorrectly performs manual driving during manual driving training, so the driver's safety during manual driving training can be enhanced.

Also, for example, the environment identification information may include time information.

Also, for example, the environment identification information may include map information or traffic information.

Further, for example, the environment identification information may include sensor information acquired by a sensor that senses outside or inside the vehicle.

Embodiments of the present disclosure will be described below with reference to the drawings.

Each of the embodiments described below represents one aspect of the present disclosure. Numerical values, shapes, components, steps, order of steps, and the like shown in the following embodiments are examples and are not intended to limit the present disclosure. In addition, among the constituent elements in the following embodiments, constituent elements that are not described in independent claims representing the highest concept will be described as arbitrary constituent elements. Moreover, each content can also be combined in all the embodiments.

(Embodiment 1)
[Configuration of vehicle 1]
First, the vehicle 1 in which the information processing device 10 according to Embodiment 1 is mounted will be described.

The vehicle 1 is, for example, an automobile, and is a vehicle that can be driven by a machine instead of a driver, that is, a vehicle that can be driven automatically. In addition, the vehicle 1 is a manually operable vehicle in which a driver sitting in the driver's seat performs manual driving in a situation in which automatic driving by a machine is impossible. Automatic operation and manual operation can be switched. The automatic driving includes fully automatic driving without the intervention of the driver and semi-automatic driving in which the driver performs part of the driving.

FIG. 1 is a diagram showing an example of the configuration of an information processing system including a vehicle 1 and a server 14 according to Embodiment 1. As shown in FIG. The information processing system includes a vehicle 1 and a server 14 . A vehicle 1 shown in FIG. 1 includes an information processing device 10 , an automatic driving control unit 11 and a device group 12 .

<Information processing device 10>
The information processing device 10 is mounted on a vehicle 1 capable of automatic operation, and is a device for training the driver of the vehicle 1 to drive regularly or unexpectedly.

<Automatic driving control unit 11>
The automatic driving control unit 11 performs travel control of the vehicle 1 such as acceleration, steering and braking of the vehicle 1 without human operation. Also, the automatic driving control unit 11 switches the driving mode of the vehicle 1 . For example, when the automatic driving control unit 11 acquires instruction information for canceling the automatic driving of the vehicle 1 from the information processing device 10, the automatic driving control unit 11 cancels the automatic driving of the vehicle 1, that is, shifts the driving mode from automatic driving to manual driving.

<Equipment group 12>
The device group 12 acquires environment identification information for identifying the environment in which the vehicle 1 is placed. Specifically, the device group 12 includes a plurality of devices that detect or measure the environment around the vehicle 1 and devices that acquire information for estimating the environment around the vehicle 1 . In this embodiment, as an example, the device group 12 includes an image sensor 121 , a ranging sensor 122 , a positioning device 123 , a clock device 124 and a communication device 125 .

Image sensor 121 is, for example, a monocular camera or a stereo camera. The image sensor 121 captures at least one of the front, rear, and side directions of the vehicle 1 .

The ranging sensor 122 is, for example, a radar device or a ranging device using a laser. The distance sensor 122 measures the distance to objects around the vehicle 1 . Here, the object is a person, a vehicle around the vehicle 1, a road, a wall, or the like.

The positioning device 123 acquires the position of the vehicle 1 using, for example, GPS (Global Positioning System). The positioning device may estimate the position of the vehicle 1 by communicating with the roadside device.

The clock device 124 is a device for acquiring time information, such as an RTC (Real Time Clock). Note that the clock device 124 may acquire time information from GPS information.

The communication device 125 is a device for connecting to the network 13 such as the Internet using a wireless communication method. In FIG. 1 , the communication device 125 connects the information processing device 10 and the server 14 via the network 13 .

<Server 14>
The server 14 stores map information and traffic information. For example, the map information may include information indicating high-congestion areas or high-accident locations, and the traffic information may include congestion occurrence information or congestion prediction information.

[Configuration of information processing device 10]
Next, the configuration of the information processing device 10 will be described. FIG. 2 is a diagram showing an example of the configuration of the information processing device 10 according to the first embodiment.

The information processing apparatus 10 includes an environment information acquisition unit 101 and a manual driving training unit 102, as shown in FIG.

<Environmental Information Acquisition Unit 101>
The environment information acquiring unit 101 acquires environment specifying information for specifying the environment in which the vehicle is placed. Here, the environment identification information includes time information, map information, traffic information, and sensor information acquired by a sensor that senses outside or inside the vehicle 1 .

FIG. 3 is a diagram showing an example of the structure of environment information 301 according to Embodiment 1. As shown in FIG.

In the present embodiment, environment information acquisition section 101 generates environment information 301 indicating the environment in which the vehicle is placed from data (environment specifying information) output from device group 12 . Note that when the device group 12 generates the environment information 301 , the environment information acquisition unit 101 may acquire the environment information 301 from the device group 12 .

The environmental information 301 is, as shown in FIG. environment information 304 based on the sensor information received. Note that the environment information 301 may be a part of the environment information 302 to the environment information 304 .

The environment information 302 is generated based on time information output from the clock device 124 . For example, the environment information 302 includes information indicating whether the time indicated by the time information belongs to the nighttime period and information indicating whether it is the commuting time period. FIG. 3 shows that the environment information acquisition unit 101 has acquired environment information 302 indicating that it is nighttime. On the other hand, it is shown that the environmental information 302 indicating the commuting time period has not been acquired.

The environment information 303 is generated based on map information or traffic information received from the server 14 connected to the network 13 via the communication device 125 and position information of the vehicle 1 output from the positioning device 123 . For example, the environment information 303 indicates that a road around the vehicle 1 estimated from the position information of the vehicle 1 or a road on which the vehicle 1 may travel in the future is congested, or may be congested in the future. It may be congestion information indicating that. The environment information 303 is traffic information indicating that a road around the vehicle 1 estimated from the position information of the vehicle 1 or a road on which the vehicle 1 may travel in the future is a traffic congestion point or an accident occurrence point. There may be. FIG. 3 shows that the environment information acquisition unit 101 has acquired neither congestion information nor traffic information.

The environment information 304 is generated based on sensor information output from the image sensor 121 and the ranging sensor 122 . Specifically, the environment information 304 includes information indicating the presence or absence of surrounding objects detected based on sensor information, information indicating the weather, and information indicating the driving environment of the vehicle 1 . For example, the environment information 304 includes information indicating whether or not there is another vehicle ahead of the vehicle 1 (front vehicle) or behind another vehicle (rear vehicle). In addition, the front means the traveling direction of the vehicle 1, and the rear means the direction opposite to the traveling direction. The environment information 304 also includes information indicating whether or not there is a vehicle (oncoming vehicle) facing the vehicle 1 . The environment information 304 also includes information indicating whether or not there is a person around or in front of the vehicle 1 . The environmental information 304 also includes information indicating whether it is raining or not and information indicating whether the road on which the vehicle 1 is traveling is rough. The environment information 304 also includes information indicating whether the vehicle 1 is traveling at high speed and whether it is traveling on a curve.

FIG. 3 shows that the environment information acquisition unit 101 has acquired environment information 304 indicating that the vehicle 1 is traveling on a curve and that an oncoming vehicle is present.

<Manual driving training unit 102>
The manual driving training unit 102 performs control to periodically or suddenly shift the driving mode from automatic driving to manual driving. Thereby, the driver of the vehicle 1 can be trained in driving.

In the present embodiment, manual driving training section 102 includes determination section 103 and output section 104, as shown in FIG.

<<Determination unit 103>>
The determination unit 103 determines whether the training conditions for driving training in the vehicle 1 for the driver of the vehicle 1 are satisfied based on the environment identification information. Here, the training conditions are conditions set according to the driver's skill information. The determination unit 103 determines whether the training conditions are satisfied according to the result of comparison between the environment specified by the environment specifying information and the environment indicated by the training conditions.

FIG. 4 is a diagram showing an example of the configuration of user skill information 401 according to Embodiment 1. As shown in FIG.

In the present embodiment, the user skill information 401 is the driver's skill information regarding vehicle driving. The skill information is the degree of driving ability or proficiency in a specific environment.

The user skill information 401 is generated based on a test result when obtaining a driver's license, a preliminary questionnaire for the user, a driving evaluation during manual driving, and the like. The user skill information 401 may be stored in a storage unit (not shown) inside the vehicle 1 or may be stored in the server 14 and referred to by the determination unit 103 via the network 13 .

In FIG. 4, the user skill information 401 indicates whether or not driving is possible in environments such as nighttime, night shift hours, traffic congestion, accident-prone locations, vehicles ahead, vehicles behind, people, rainy weather, rough roads, high-speed driving, and curve driving. there is FIG. 4 shows that the vehicle can be driven in environments such as nighttime, traffic congestion, vehicles ahead, vehicles behind, people, rainy weather, high-speed driving, and curve driving.

The determination unit 103 determines whether the environment indicated by the environment information 301, in which the vehicle 1 is placed, satisfies the training conditions according to the result of comparison with the environment indicated by the training conditions set according to the user skill information 401. It is determined whether or not the driver can be trained to drive.

Training conditions may include conditions related to previous training. In this case, the information processing device 20 preferably includes a training information acquisition unit that acquires training information related to the previous training. Then, the determination unit 103 may further determine whether the conditions related to the previous training are satisfied based on the training information.

For example, the condition regarding the previous training includes that a predetermined time has passed since the previous training was performed, and the training information includes information for specifying the elapsed time from the time when the previous training was performed. include In this case, the determination unit 103 may determine whether the elapsed time specified from the training information exceeds a predetermined time.

Further, the condition regarding the previous training includes that the vehicle 1 has traveled a predetermined distance since the previous training was performed, and the training information is the distance traveled by the vehicle 1 since the previous training was performed. shall contain information to identify the In this case, the determination unit 103 may determine whether the running distance specified from the training information exceeds a predetermined distance.

Note that the determination unit 103 makes the above determination based on the information indicating the implementation date and time of the driving training, the interval of the implementation period by the clock function, the prescribed travel distance, or the date and time that is artificially input. I don't mind. The information about the date and time of driving training may be stored in a storage unit (not shown) inside the vehicle 1, or may be stored in the server 14 and referred to by the determination unit 103 via the network 13. .

Further, the determination unit 103 determines whether the driving training is finished. In the present embodiment, the determining unit 103 satisfies a predetermined termination condition that the automatic operation of the vehicle 1 has been canceled by the automatic driving control unit 11 and that training is being executed for the driver of the vehicle 1 . The end of driving training is determined based on the result. Further, the determination unit 103 determines whether or not it is possible to return to automatic driving even when a predetermined end condition is satisfied.

<<Output unit 104>>
The output unit 104 outputs instruction information for canceling the automatic driving of the vehicle 1 in response to the determination by the determination unit 103 that the training conditions are satisfied.

5A and 5B are diagrams showing display examples of the instrument panel of the vehicle 1 according to Embodiment 1. FIG. FIG. 5A shows a display example of the instrument panel of the vehicle 1 during automatic driving, and FIG. 5B shows an example of the instrument panel of the vehicle 1 during manual driving. The instrument panel shown in FIGS. 5A and 5B is an example when the vehicle 1 is an electric vehicle. , has a power meter 503 that indicates the torque of the vehicle 1 . Further, a partial area 504 or 504B of speedometer 502 indicates the driving mode of vehicle 1 .

In the present embodiment, when the determining unit 103 determines that the driver of the vehicle 1 is to be given driving training, the output unit 104 outputs the instruction information for canceling the automatic driving of the vehicle 1 for a certain period of time or during a certain section. Output to the automatic operation control unit 11 . Until the automatic driving control unit 11 cancels the automatic driving of the vehicle 1 and shifts to manual driving, as shown in FIG. is shown to be When the automatic driving control unit 11 cancels the automatic driving of the vehicle 1 and starts driving training, as shown in FIG. is shown. In addition, the example which shows the driving mode of the vehicle 1 is not restricted to these, You may show the driving mode of the vehicle 1 with the color of the speedometer 502. FIG. For example, when the driving mode of the vehicle 1 is manual driving or driving training, the speedometer 502 is displayed in red, and when the driving mode of the vehicle 1 is automatic driving, the speedometer 502 is displayed in blue. may be

Here, when the information processing device 10 further includes a presentation control unit, the output unit 104 may output the instruction information for canceling the automatic driving of the vehicle 1 to the presentation control unit. The presentation control unit controls presentation to the effect that driving training will be performed before the automatic driving of the vehicle 1 is canceled. For example, the presentation control unit causes a presentation unit such as an instrument panel or car navigation display to present that driving training is being performed. Note that the presentation unit may be a projection unit such as a projector, or may be an audio output unit such as a speaker.

In addition, the output unit 104 outputs whether or not to perform driving training to the presentation control unit before outputting the automatic operation cancellation instruction information of the vehicle 1 to the automatic operation control unit 11, and the presentation control unit outputs may be displayed on an instrument panel or the like. This allows the driver of the vehicle 1 to select whether or not to conduct driving training.

FIG. 6 is a diagram showing a display example of the instrument panel of the vehicle 1 according to the first embodiment. Elements similar to those in FIGS. 5A and 5B are denoted by the same reference numerals, and description thereof is omitted.

Upon receiving an output from the output unit 104 indicating whether or not to implement driving training, the presentation control unit instructs the driver of the vehicle 1 to manually drive the vehicle 1 in a partial area 604 of the speedometer 502 of the vehicle 1 as shown in FIG. You may be made to present whether or not to carry out training to shift to Although FIG. 6 shows a case where the selection of whether or not to carry out the driving training can be performed by a switch or a touch panel, the selection is not limited to this and may be performed by voice or the like.

The presentation is not limited to the instrument panel of the vehicle 1, and may be displayed on the car navigation screen of the car navigation device of the vehicle 1, the display area of the windshield of the vehicle 1, or the like.

In addition, the output unit 104 may output setting instruction information (command) for instructing the automatic driving control unit 11 to return to automatic driving according to the result of the driving training end determination. .

[Operation of information processing device 10]
Next, the operation of the information processing apparatus 10 configured as described above will be described.

<Operation training start processing>
FIG. 7 is a flow chart showing an overview of a driving training start process performed by the information processing apparatus 10 according to the first embodiment. It is assumed that the vehicle 1 is under running control by the automatic driving control unit 11 at the start of the following process.

First, as shown in FIG. 7, the information processing apparatus 10 acquires environment identification information (S11). More specifically, the information processing device 10 acquires environment identification information for identifying the environment in which the vehicle 1 capable of automatic operation is placed.

Next, the information processing device 10 determines whether or not the training conditions are satisfied based on the environment identification information acquired in S11 (S13). More specifically, the information processing device 10 determines whether or not the training conditions for driving training in the vehicle 1 for the driver of the vehicle 1 are satisfied based on the environment identification information acquired in S11.

In S13, when the information processing device 10 determines that the training conditions are satisfied (YES in S13), it outputs the instruction information for canceling the automatic driving of the vehicle 1 (S15).

On the other hand, when the information processing device 10 determines in S13 that the training conditions are not satisfied (NO in S13), it ends this process and continues the automatic operation.

FIG. 8 is a flowchart showing the details of the driving training start process performed by the information processing apparatus 10 according to the first embodiment. Elements similar to those in FIG. 7 are given the same reference numerals. Here, as in FIG. 7, it is assumed that the vehicle 1 equipped with the information processing device 10 is under running control by the automatic driving control unit 11 at the start of the following process.

First, as shown in FIG. 8, the information processing device 10 determines whether to conduct driving training based on the training information (S10). More specifically, the information processing device 10 determines whether or not to perform the driving training based on the training information regarding the previous training, depending on whether the conditions regarding the previous training are satisfied. For example, the information processing device 10 determines whether a predetermined time has passed since the previous training based on information for specifying the elapsed time from the previous training, which is indicated by the training information. It may be determined whether or not to conduct driving training according to the situation. The information processing device 10 also determines whether the vehicle 1 has traveled since the previous training based on the information for specifying the distance traveled by the vehicle 1 since the previous training, which is indicated by the training information. It may be determined whether or not to perform driving training depending on whether the vehicle has traveled a predetermined distance. Further, it may be determined whether or not to perform the driving training based on the date and time of the driving training indicated by the training information. It should be noted that it may be determined whether or not to conduct the driving training based on training information indicating contents different from these examples.

In S10, when the information processing apparatus 10 determines to conduct driving training (YES in S10), the information processing apparatus 10 acquires environment specifying information (S11). For example, the information processing apparatus 10 generates the environment information 301 from the environment specifying information output from the device group 12 when determining that the date and time for driving training has arrived.

Next, the information processing device 10 determines whether or not the training conditions are satisfied based on the environment identification information acquired in S11 (S13). In the present embodiment, the information processing apparatus 10 determines that the environment in which the vehicle 1 is placed, indicated by the environment information 301, satisfies the training conditions according to the result of comparison with the environment indicated by the training conditions set according to the user skill information 401. It is determined whether or not driving training can be started.

In S13, when the information processing device 10 determines that the training conditions are not satisfied (NO in S13), the processing ends and automatic operation continues. Note that the information processing apparatus 10 may newly determine the date and time for conducting the driving training when it determines that the training conditions are not satisfied.

On the other hand, in S13, when the information processing device 10 determines that the training conditions are met (YES in S13), the information processing device 10 causes the presentation unit to present that the driving training is to be performed (S14), and the automatic driving cancellation instruction information of the vehicle 1 is displayed. Output (S15). In the present embodiment, as described with reference to FIG. 5B, the instrument panel of vehicle 1 indicates that the driving mode of vehicle 1 is manual driving, thereby indicating that driving training is underway.

6, the information processing apparatus 10 causes the instrument panel of the vehicle 1 to present whether or not training for transitioning to manual driving is to be performed to the driver of the vehicle 1, and the user can be selected. In this case, when the driver of the vehicle 1 selects to conduct driving training, the information processing device 10 may output automatic driving cancellation instruction information of the vehicle 1 .

<End processing of operation training>
FIG. 9 is a flowchart showing a driving training ending process performed by the information processing apparatus 10 according to the first embodiment.

First, as shown in FIG. 9, the information processing device 10 determines whether the driver of the vehicle 1 is undergoing driving training (S21). In the present embodiment, the information processing device 10 determines whether or not the automatic driving control unit 11 is not performing running control of the vehicle 1 after outputting the instruction information for canceling the automatic driving of the vehicle 1 .

In S21, when the information processing device 10 determines that the driver of the vehicle 1 is undergoing driving training (YES in S21), the information processing device 10 determines whether or not requirements for completing the driving training are satisfied (S23). Here, the end requirement is information such as "elapsed time", "training distance", "passage of a preset section such as scheduled training end point, arrival point, etc.", for example. The information regarding this termination requirement may be stored in a storage unit (not shown) inside the vehicle 1 or may be stored in the server 14 and referenced via the network 13 . When the information processing apparatus 10 determines in S21 that the vehicle 1 is not being trained for manual driving by the driver (No in S21), the process ends.

In S23, when the information processing device 10 determines that the driving training end requirement is satisfied (YES in S23), it determines whether it is possible to return to automatic driving (S25). In the present embodiment, the information processing apparatus 10 acquires the latest environment information 304 and determines whether the vehicle 1 can be controlled for traveling, thereby determining whether it is possible to return to automatic driving. If the information processing apparatus 10 determines in S23 that the driving training end requirement is not satisfied (No in S23), the processing ends.

In S25, when the information processing device 10 determines that it is possible to return to automatic operation (YES in S25), the setting instruction information ( command) is output (S27). Thereby, the automatic driving control unit 11 starts running control of the vehicle 1 .

When the information processing device 10 determines in S25 that the vehicle 1 cannot return to automatic driving (No in S25), the information processing device 10 indicates that the driver of the vehicle 1 has made a reservation to return to automatic driving and continues driving training. You may display on the display parts, such as an instrument panel, to the effect that it carries out. When the information processing device 10 determines in S25 that the vehicle 1 cannot return to automatic driving (No in S25), the information processing device 10 may cause the display unit to output that the driving training has shifted to normal manual driving.

[Effects of Embodiment 1, etc.]
As described above, according to the information processing apparatus 10 according to Embodiment 1, the driver can be trained to drive regularly or suddenly. You can reduce the risk that your hands will panic.

(Embodiment 2)
Next, the information processing device 20 according to the second embodiment will be described. In addition, below, it demonstrates centering on a different point from Embodiment 1. FIG.

[Configuration of information processing device 20]
The information processing device 20 is, like the information processing device 10, mounted in the vehicle 1 capable of automatically driving, and is a device for having the driver of the vehicle 1 regularly or unexpectedly train in driving.

FIG. 10 is a diagram showing an example of the configuration of the information processing device 20 according to the second embodiment. Elements similar to those in FIG. 2 are denoted by the same reference numerals, and detailed description thereof is omitted.

The information processing apparatus 20 shown in FIG. 10 differs from the information processing apparatus 10 according to Embodiment 1 in that the configuration of the manual driving training section 202 is different and the monitoring section 205 is added.

<Monitoring unit 205>
The monitoring unit 205 monitors the difference between the driving information of the vehicle 1 undergoing driving training and the driving information estimated when the vehicle 1 is automatically driven. In addition, the monitoring unit 205 causes the output unit 204 to output automatic operation setting instruction information according to the monitored difference result.

In this embodiment, the monitoring unit 205 monitors the output unit 204 or the automatic operation control unit 11 . More specifically, the monitoring unit 205 determines whether the output unit 204 has output instruction information for canceling the automatic operation of the vehicle 1 to the automatic operation control unit 11 as driving training, or whether the automatic operation control unit 11 has Monitor whether automatic driving has been canceled, that is, whether driving training has been started.

When the monitoring unit 205 detects that driving training has started, the monitoring unit 205 starts virtual driving that is estimated when it is assumed that the driving training is not performed in the vehicle 1 and automatic driving is performed. Here, virtual driving means that a functional unit installed in the monitoring unit 205 and having an artificial intelligence based on machine learning or a rule-based system, etc., responsible for automatic driving, is capable of driving regardless of the actual driving operation. It is to simulate the operation. The monitoring unit 205 obtains virtual driving information estimated when automatic driving is performed in the vehicle 1 by virtual driving. Here, the virtual driving information is information indicating parameters such as the virtual speed, virtual acceleration, and virtual direction of the vehicle 1 that can be obtained by the function unit simulating the driving operation.

In addition, when the monitoring unit 205 detects that driving training has been started, the monitoring unit 205 also obtains travel information about the driving training of the driver of the vehicle 1 .

Then, the monitoring unit 205 calculates the difference between the virtual driving information and the driving information during the driving training, and determines that the driving training can be continued when the calculated difference is smaller than the threshold. On the other hand, when the calculated difference is equal to or greater than the threshold, the monitoring unit 205 determines that the driving training cannot be continued, and causes the output unit 204 to output setting instruction information for automatic driving, thereby setting the vehicle 1 to automatic driving. bring back.

<Manual driving training unit 202>
The manual driving training unit 202 performs control to periodically or suddenly shift the driving mode from automatic driving to manual driving. In the present embodiment, manual driving training section 202 includes determination section 103 and output section 204, as shown in FIG.

<<output unit 204>>
The output unit 204 outputs setting instruction information for automatic operation according to the monitoring result of the monitoring unit 205 . In the present embodiment, the output unit 204 outputs automatic driving setting instruction information based on the difference between the virtual driving information calculated as the monitoring result by the monitoring unit 205 and the driving information during the driving training, and the vehicle 1 to return to automatic operation.

Other than that, the output unit 204 has the same functions as the output unit 104 of the first embodiment. That is, the output unit 204 outputs the instruction information for canceling the automatic driving of the vehicle 1 in response to the determination by the determination unit 103 that the training conditions are satisfied. In addition, the output unit 204 outputs setting instruction information (command) for returning to automatic driving to the automatic driving control unit 11 according to the result of the driving training end determination.

[Operation of information processing device 20]
Next, the operation of the information processing apparatus 20 configured as described above will be described. The driving training starting process and the driving training ending process performed by the information processing device 20 are the same as those of the information processing device 10 according to the first embodiment described with reference to FIGS. Below, the return processing to automatic operation which the information processing apparatus 20 performs is demonstrated.

<Processing to return to automatic operation>
FIG. 11 is a flowchart showing processing for returning to automatic driving performed by the information processing device 20 in the present embodiment.

First, as shown in FIG. 11, the information processing device 20 detects whether driving training has started (S31). In the present embodiment, the monitoring unit 205 determines whether the output unit 204 has output instruction information for canceling the automatic operation of the vehicle 1 to the automatic operation control unit 11 as driving training, or the automatic operation control unit 11 has By monitoring whether automatic driving has been canceled, it is detected that driving training has started.

In S31, when the information processing device 20 detects that driving training has started (YES in S31), the information processing device 20 estimates travel information when automatic driving is performed in the vehicle 1 (S32). In S31, when the information processing device 20 does not detect that driving training has started (NO in S31), the process returns to S31.

In the present embodiment, when the monitoring unit 205 detects that the driving training has been started, the monitoring unit 205 starts virtual driving that is estimated when it is assumed that the driving training is not performed in the vehicle 1 and the automatic driving is performed. After that, the monitoring unit 205 continues to obtain virtual driving information estimated when automatic driving is performed by virtual driving. In addition, when the monitoring unit 205 detects that driving training has started, the monitoring unit 205 also continues to obtain travel information during the driving training of the driver of the vehicle 1 .

Next, the information processing device 20 determines whether the difference between the virtual driving information and the driving information during driving training is equal to or greater than a threshold (S33). In the present embodiment, the monitoring unit 205 calculates the difference between the virtual driving information estimated when automatic driving is performed by virtual driving and the driving information during driving training by the driver of the vehicle 1, and calculates Determine whether the difference is greater than or equal to the threshold.

In S33, when the information processing device 20 determines that the difference is equal to or greater than the threshold value (YES in S33), it outputs setting instruction information for automatic driving (S34), and tells the driver that the vehicle 1 has shifted to automatic driving. The presenting unit is caused to present a message to that effect (S35). In the present embodiment, the monitoring unit 205 determines that the driving training cannot be continued if the calculated difference is equal to or greater than the threshold value, and causes the output unit 204 to output setting instruction information for automatic driving so that the vehicle 1 to return to automatic operation. Then, the output unit 204 outputs the automatic driving cancellation instruction information of the vehicle 1 to the presentation control unit inside or outside the information processing device 20, and causes the presentation control unit to control the display unit such as the instrument panel. The display unit is caused to display that the vehicle 1 has shifted to automatic driving.

In S33, when the information processing device 20 determines that the luck difference is smaller than the threshold (NO in S33), the processing returns to S31.

[Effects of Embodiment 2, etc.]
As described above, according to the information processing apparatus 20 according to Embodiment 2, the driver can be trained to drive regularly or suddenly. It is possible to reduce the risk that the driver will panic.

Furthermore, according to the information processing device 20 according to the second embodiment, the automatic driving is forcibly controlled according to the difference between the virtual driving information of the vehicle 1 in the virtual driving and the driving information of the vehicle 1 in the actual driving training. can be returned to As a result, when the driver of the vehicle 1 performs an erroneous driving operation during the driving training, it is possible to forcibly return to automatic driving, so that the driver makes an erroneous driving operation and enters a panic state. can reduce risk.

That is, according to the information processing device 20 according to Embodiment 2, even if the driver makes a mistake during the driving training, it is possible to switch to automatic driving, so the safety of the driver during the driving training is ensured. be able to.

Note that the information processing apparatus 20 according to the present embodiment switches to automatic driving when the driver drives incorrectly during driving training that is periodically or suddenly performed for the driver. , but not limited to this. A modified example will be described below.

(Modification)
FIG. 12 is a diagram showing a display example of the instrument panel of the vehicle 1 in the modified example of the second embodiment. Elements similar to those in FIGS. 5A to 6 are denoted by the same reference numerals, and descriptions thereof are omitted.

For example, the information processing device 20 described above may be installed in an automatically drivable vehicle used at a driving school, a driver's license test site, or the like, and used for training or testing purposes. In this case, when the driver gets into the vehicle and starts the vehicle, the driving training may be started. After the driving training is completed, as shown in FIG. 12, a portion 1204 of the speedometer 502 of the vehicle 1 displays an evaluation of the driving skill of the driver based on the difference between the virtual driving information and the driving information during the driving training. Or you may display a score. The driving skill evaluation or score indicates how much the driver's driving during driving training deviates from the ideal virtual driving by virtual driving. In addition, the evaluation or score of the driving skill can be calculated based on the difference value between each parameter indicated by the virtual driving information and each parameter indicated by the driving information in the driving training as described above and a preset threshold value. can.

Although the information processing apparatus and the like according to one aspect of the present disclosure have been described above, the present disclosure is not limited to the above embodiments. As long as it does not deviate from the spirit of the present disclosure, one or more of the present disclosure may include various modifications that can be made by a person skilled in the art, or a configuration constructed by combining the components of different embodiments. may be included within the scope of the aspect of For example, the following cases are also included in the present disclosure.

(1) Each of the above devices is specifically a computer system comprising a microprocessor, ROM, RAM, hard disk unit, display unit, keyboard, mouse, and the like. A computer program is stored in the RAM or hard disk unit. Each device achieves its function by the microprocessor operating according to the computer program. Here, the computer program is constructed by combining a plurality of instruction codes indicating instructions to the computer in order to achieve a predetermined function.

(2) Some or all of the components constituting each of the above devices may be provided with one system LSI (Large Scale Integration). A system LSI is an ultra-multifunctional LSI manufactured by integrating multiple components on a single chip. Depending on the degree of integration, it is also called an IC, system LSI, super LSI, or ultra LSI. Specifically, it is a computer system including a microprocessor, ROM, RAM, and the like. A computer program is stored in the RAM. The system LSI achieves its functions by the microprocessor operating according to the computer program. The method of circuit integration is not limited to LSI, and may be realized by a dedicated circuit or a general-purpose processor. An FPGA (Field Programmable Gate Array) that can be programmed after the LSI is manufactured, or a reconfigurable processor that can reconfigure connections and settings of circuit cells inside the LSI may be used. Furthermore, if an integration technology that replaces the LSI emerges due to advances in semiconductor technology or another technology derived from it, it is of course possible to integrate the components using that technology.

(3) Some or all of the constituent elements constituting each device described above may be provided with a detachable IC card or a single module. Said IC card or said module is a computer system comprising a microprocessor, ROM, RAM and the like. The IC card or the module may include the super multifunctional LSI. The IC card or the module achieves its function by the microprocessor operating according to the computer program. This IC card or this module may be tamper resistant.

(4) One aspect of the present disclosure may be the method described above. Moreover, it may be a computer program or software for realizing these methods by a computer, or it may be a digital signal composed of the computer program.

(5) In addition, one aspect of the present disclosure provides a computer-readable recording medium for the computer program, software, or digital signal, such as a flexible disk, hard disk, CD-ROM, MO, DVD, DVD-ROM, DVD -RAM, BD (Blu-ray (registered trademark) Disc), semiconductor memory, or the like may be recorded. Moreover, it may be the digital signal recorded on these recording media.

(6) In addition, in one aspect of the present disclosure, the computer program or the digital signal may be transmitted via an electric communication line, a wireless or wired communication line, a network represented by the Internet, data broadcasting, etc. good.

(7) Further, one aspect of the present disclosure is a computer system comprising a microprocessor and a memory, wherein the memory stores the computer program, and the microprocessor operates according to the computer program. may be

(8) Also, by recording the program or the digital signal on the recording medium and transferring it, or by transferring the program or the digital signal via the network or the like, another independent computer It may be performed by the system.

INDUSTRIAL APPLICABILITY An aspect of the present disclosure can be used for an information processing device provided in an ECU or the like mounted on a vehicle capable of performing automatic driving, a program for the device, or the like.

1 vehicle 10, 20 information processing device 11 automatic driving control unit 12 device group 13 network 14 server 101 environment information acquisition unit 102, 202 manual driving training unit 103 determination unit 104, 204 output unit 121 image sensor 122 ranging sensor 123 positioning device 124 Clock Device 125 Communication Connection Device 301, 302, 303, 304 Environmental Information 401 User Skill Information 501 Battery Level Meter 502 Speed Meter 503 Power Meter 504, 604, 1204 Partial Regions

Claims (1)

An information processing method in an information processing device,
an environment information acquisition unit that acquires environment identification information for identifying the environment in which the vehicle capable of automatic operation is placed;
a determination unit that determines whether training conditions for driving training in the vehicle for the driver of the vehicle are satisfied based on the environment identification information;
An output unit that outputs instruction information for canceling automatic operation of the vehicle in response to determination that the training condition is satisfied,
The determination unit determines whether the training condition is satisfied according to a comparison result between the environment specified from the environment specifying information and the environment indicated by the training condition.
Information processing methods.

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