JP2018081357A - Driving support device - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a driving support device that can support a driver's operation of a vehicle when the driver's vehicle is different from a vehicle that the driver learned about.SOLUTION: A determination unit 33d determines whether or not an operation linked to the behavior shown in the behavior data obtained by the determination unit 33d in study data is carried out in a driving vehicle when an operation system of the driving vehicle in the system data obtained by the determination unit 33d is different from an operation system of a leaning vehicle and when the determination unit 33d obtains the behavior data showing the same behavior as the behavior included in the study data. When the determination unit 33d determines that the operation linked to the behavior shown in the behavior data that the determination unit 33d obtains in the study data is not carried out in the driving vehicle, a command unit 33e causes the driving vehicle to make a change in the state of an on-board device to be executed in the learning vehicle according to the operation linked to the behavior shown in the behavior data that the determination unit 33d obtains in the study data.SELECTED DRAWING: Figure 5

Description

  The present invention relates to a driving support device that supports a driver's operation of a vehicle.

  2. Description of the Related Art A driving support system including an in-vehicle device provided in a vehicle and a management center located outside the vehicle is known as a system that supports a driver's operation of the vehicle. In the driving support system, when the in-vehicle device detects from the driver's behavior that the driver has detected the danger while driving the vehicle, the in-vehicle device provides report information including information on the position where the driver has detected the danger. Send to the management center. The management center acquires report information transmitted by the in-vehicle device and registers it in the risk map as caution information. The management center searches the risk map when acquiring information reporting the position of the vehicle transmitted by the in-vehicle device, and when the caution information corresponding to the position of the vehicle is registered, the caution information is stored in the in-vehicle device. Send. The in-vehicle device causes the vehicle to execute a predetermined operation for the purpose of alerting the driver based on the attention information transmitted from the management center (see, for example, Patent Document 1).

JP 2012-48310 A

  In such a driving support system, in consideration of the position of the vehicle that the driver is driving, the driver is assisted according to the position of the vehicle. On the other hand, in the driving support system described above, when the attention information is registered, in other words, when the driver's action is learned in the in-vehicle device, there is no operation method of the vehicle that the driver is driving. Not considered. Since a plurality of vehicles having different vehicle operation methods may have different behavioral tendencies accompanying the operation of the vehicle, the operation method in the vehicle during learning and the operation method in the driving vehicle are mutually different. If they are different, it is difficult to reflect the learning results in driving support.

  An object of the present invention is to provide a driving support device that can support a driver's operation of a vehicle when the vehicle being driven by the driver is different from a vehicle to be learned.

  A driving support device for solving the above-described problem relates a driver's action associated with an operation of an operating part in a learning vehicle for learning and an operation of the operating part performed by the action of the driver. A first acquisition unit that acquires learning data, a second acquisition unit that acquires method data related to an operation method of a driving vehicle that the driver is driving, and behavior data related to the behavior of the driver in the driving vehicle The operation method of the driving vehicle in the method data acquired by the third acquisition unit and the second acquisition unit is different from the operation method of the learning vehicle, and the behavior in which the third acquisition unit is included in the learning data When the behavior data indicating the same behavior is acquired, the operation associated with the behavior indicated by the behavior data acquired by the third acquisition unit in the learning data acquired by the first acquisition unit is acquired. A determination unit that determines whether or not the determination is performed in the driving vehicle, and the determination unit is associated with the behavior indicated by the behavior data acquired by the third acquisition unit in the learning data acquired by the first acquisition unit. When it is determined that the attached operation is not performed on the driving vehicle, the learning vehicle is accompanied by an operation associated with the behavior indicated by the behavior data acquired by the third acquisition unit in the learning data. A command unit that causes the driving vehicle to execute a change in the state of the in-vehicle device to be executed.

  According to the above configuration, when the driver is driving a driving vehicle having a different operation method from that of the learning vehicle, the learning vehicle has the same behavior as the behavior performed by the driver. When the operation performed in is not performed in the driving vehicle, the driving vehicle is caused to change the state of the in-vehicle device accompanying the operation performed in the learning vehicle. This causes the vehicle to execute a change in the state of the in-vehicle device due to the operation that the driver was trying to perform in a situation where it is estimated that the operation that the driver was trying to perform because the operation method of the vehicle was different. be able to. Therefore, when the vehicle that the driver is driving is different from the vehicle to be learned, the operation of the vehicle by the driver can be supported.

The block diagram which shows schematic structure of the driving assistance system containing a driving assistance device in one Embodiment which actualized the driving assistance device. The block diagram which shows schematic structure of the 1st vehicle-mounted apparatus with which a learning vehicle is provided. The figure which shows an example of learning data. The block diagram which shows schematic structure of a portable terminal. The block diagram which shows schematic structure of the 2nd vehicle-mounted apparatus with which a driving vehicle is provided. The sequence chart which shows the procedure of the process performed between a learning vehicle, a portable terminal, and a driving vehicle. The flowchart which shows the procedure of the assistance process which a driving vehicle performs. The flowchart which shows the procedure of the process which judges an operation impossibility.

  With reference to FIGS. 1 to 8, an embodiment in which a driving support device is embodied will be described. Hereinafter, the configuration of the driving support system including the driving support device, the processing performed by the driving support device, and the conditions that can be added to the determination of an erroneous operation will be described in order.

[Configuration of driving support system]
The configuration of the driving support system will be described with reference to FIGS.
As shown in FIG. 1, the driving support system 10 includes a learning vehicle 20 including a first in-vehicle device 20A, a driving vehicle 30 including a second in-vehicle device 30A, and a mobile terminal 40.

  The learning vehicle 20 is a vehicle for learning by associating the behavior of the driver accompanying the operation of the operation unit in the learning vehicle 20 with the operation of the operation unit performed by the behavior of the driver. The learning vehicle 20 is a vehicle familiar to the driver. For example, the learning vehicle 20 is a vehicle owned by the driver, a vehicle used by the driver by the car sharing service before the driving vehicle 30 is boarded, or the driving vehicle 30 is boarded. A vehicle that was previously borrowed from a rental car company. The learning vehicle 20 is, for example, a vehicle that the driver has driven for an accumulated time of a predetermined time or more in a predetermined period until now, or a vehicle that has been operated by the driver for a predetermined number of times or more.

  The driving vehicle 30 is a vehicle that the driver is driving, and is a vehicle on which the driver gets on after the learning data and the method data of the learning vehicle 20 are stored in the portable terminal 40. The driving vehicle 30 is, for example, a vehicle used by the driver through the car sharing service after boarding the learning vehicle 20, or a vehicle borrowed from a rental car company after boarding the learning vehicle 20.

  The portable terminal 40 is, for example, a smart phone, a tablet, and a wearable terminal owned by the driver, and is a terminal that moves with the driver. In the driving support system 10, it is considered that only one specific driver belongs to one mobile terminal 40. In other words, in the driving support system 10, the driver is authenticated by possessing the mobile terminal 40.

  As shown in FIG. 2, the first in-vehicle device 20A includes a behavior detection unit 21, an operation unit group 22, a control device 23, a communication unit 24, and an in-vehicle device group 25. The control device 23 includes a learning data generation unit. 23a, a state grasping unit 23b, and a method data holding unit 23c.

  The operation unit group 22 includes a plurality of operation units that are targets of operation by the driver. The operation unit group 22 includes, for example, various switches located on the steering wheel, shift lever, accelerator pedal, brake pedal, turn signal switch, wiper switch, various switches located on the instrument panel, parking brake switch, ignition switch, and the like. Is included. The operation of the operation unit by the driver is to change the state of these operation units, and the operation unit indicates the state of the vehicle as a result of the driver's operation.

  The in-vehicle device group 25 includes a plurality of in-vehicle devices, and the state of a predetermined in-vehicle device is changed as each operation unit is operated. For example, a predetermined in-vehicle device is driven or stopped by operating each operation unit. The in-vehicle devices are, for example, an audio, a right turn direction indicator light, a left turn direction indicator light, a wiper, an air conditioner, and a parking brake.

  The behavior detection unit 21 detects a behavior performed in association with the driver operating the operation unit of the learning vehicle 20 inside the learning vehicle 20. The behavior detection unit 21 may detect at least one of a behavior before a predetermined operation with respect to the operation unit, a behavior when the operation unit is operated, and a behavior after a predetermined operation with respect to the operation unit.

  The behavior detection unit 21 generates behavior data regarding the driver's behavior. The behavior detection unit 21 may be, for example, an imaging unit that can generate image data including three-dimensional information, or an imaging unit that can generate image data including two-dimensional information. Also good. The image data generated by the behavior detection unit 21 includes behavior data related to the driver's behavior, that is, data related to a motion trajectory in a part of the driver's body such as the driver's hand, fingers, arms, and feet. It only has to be done. The image data generated by the behavior detection unit 21 may include data related to the driver's face direction, data related to the driver's line of sight, data related to the driver's facial expression, and the like. In addition to the imaging unit, the behavior detection unit 21 may include a sound collection unit that can generate audio data related to the driver's voice.

  The state grasping unit 23b grasps the state of each operation unit included in the learning vehicle 20. For example, the state grasping unit 23b is configured such that the state of each operation unit is maintained in the first state, the second state different from the first state, and the first state. And the second state, that is, the operation unit is operated. For example, when the operation unit is a predetermined switch, the state grasping unit 23b indicates that the operation unit is in an on state, in an off state, changed from on to off, and changed from off to on. I know that.

  The learning data generation unit 23a generates learning data in which the driver's behavior associated with the operation of the operation unit is associated with the operation of the operation unit performed by the driver's behavior. The learning data generation unit 23a may associate a vehicle that the driver is driving with these actions and operations. For example, when the behavior data is input from the behavior detection unit 21, the learning data generation unit 23a includes data related to an operation on the operation unit whose state has changed in the operation unit group 22 in which the state grasping unit 23b grasps the state. The learning data linked with the action data is generated.

  If the learning data generation unit 23a grasps the operation unit whose state has changed through the state grasping unit 23b, the learning data generation unit 23a may generate learning data by associating the action data generated by the behavior detection unit 21 with the operation on the operation unit. Good.

  As shown in FIG. 3, in the learning data, for example, an operation of a turn signal switch for lighting a turn signal indicating a right turn with respect to the first action is linked, and a left turn with respect to the second action is made. The operation of the turn signal switch for lighting the direction indicator lamp shown is linked. In the learning data, for example, an operation of a switch for operating the air conditioner is associated with the third action.

  The method data holding unit 23c illustrated in FIG. 2 holds method data that is information related to the operation method of the learning vehicle 20. The method data is information on the operation method of each operation unit described above, for example, information on the absolute position of each operation unit in the vehicle, information on the relative position between each operation unit and the driver, and each operation. Information on the operation method of the department. Note that the method data may be, for example, information related to the model of the learning vehicle 20 or a model number indicating the operation method of the operation unit included in the learning vehicle 20.

  The communication unit 24 can communicate with the mobile terminal 40 and communicate with the mobile terminal 40 using a predetermined communication method. The communication unit 24 transmits the learning data generated by the learning data generation unit 23a and the method data held by the method data holding unit 23c to the portable terminal 40.

  As illustrated in FIG. 4, the mobile terminal 40 includes a method data holding unit 41, a learning data storage unit 42, a vehicle information holding unit 43, a learning data monitoring unit 44, and a communication unit 45. The communication unit 45 can communicate with each of the learning vehicle 20 and the driving vehicle 30 and communicates with each of the vehicles 20 and 30 using a predetermined communication method. The communication unit 45 receives learning data and method data transmitted from the learning vehicle 20, learns data stored in the learning data storage unit 42, method data held in the method data holding unit 41, and vehicle information holding unit Data relating to the vehicle held in 43 is transmitted to the driving vehicle 30.

  The method data holding unit 41 holds the method data of the learning vehicle 20 and the method data of the driving vehicle 30 received by the communication unit 45. The learning data storage unit 42 stores the learning data of the learning vehicle 20 and the learning data of the driving vehicle 30 received by the communication unit 45.

  The learning data monitoring unit 44, for example, the number of learning data received by the mobile terminal 40, in other words, the number of operations performed by the driver in each vehicle, or the total time during which the mobile terminal 40 receives the learning data. In other words, the total time that the driver is driving each vehicle is monitored. When the learning data monitoring unit 44 determines that the number of learning data in one vehicle is equal to or greater than a predetermined number, or the total time during which learning data is received in one vehicle is equal to or greater than a predetermined time. When determined, data relating to the vehicle is generated.

  The vehicle information holding unit 43 holds data relating to the vehicle generated by the learning data monitoring unit 44. As a result, the specific vehicle is set as the learning vehicle 20, that is, the vehicle that the driver is familiar with. The vehicle-related data held by the vehicle information holding unit 43 is new when the number of learning data or the total time during which the learning data is received satisfies the above-described conditions in vehicles other than the learning vehicle 20. Updated to new data.

  As shown in FIG. 5, the second in-vehicle device 30 </ b> A includes a behavior detection unit 31, an operation unit group 32, a control device 33, a communication unit 34, and an in-vehicle device group 35, and the control device 33 includes a learning data generation unit. 33a, a state grasping unit 33b, a method data holding unit 33c, a determination unit 33d, and a command unit 33e.

  The behavior detection unit 31 has the same configuration as the behavior detection unit 21 included in the learning vehicle 20, and detects the behavior of the driver inside the driving vehicle 30. The operation method of the operation unit group 32 is different from the operation method of the operation unit group 22 in the learning vehicle 20, and the type of the in-vehicle device group 35 is equivalent to the type of the in-vehicle device group 25 in the learning vehicle 20.

  The communication unit 34 can communicate with the portable terminal 40 and communicate with the portable terminal 40 using a predetermined communication method. The communication unit 34 receives the learning data of the learning vehicle 20 and the method data of the learning vehicle 20 transmitted by the mobile terminal 40. That is, the communication unit 34 is an example of a first acquisition unit that acquires learning data.

  The state grasping unit 33b has the same configuration as the state grasping unit 23b included in the learning vehicle 20, and grasps the state of each operation unit in the driving vehicle 30. The learning data generation unit 33a has the same configuration as the learning data generation unit 23a included in the learning vehicle 20, and includes data related to the operation of the operation unit performed on the driving vehicle 30 by the driver's behavior and the driver's behavior. The learning data linked with is generated. The method data holding unit 33c has the same configuration as the method data holding unit 23c included in the learning vehicle 20, and holds the method data of the driving vehicle 30.

  The determination unit 33d inputs the method data of the driving vehicle 30 and the action data of the driver in the driving vehicle 30, and grasps the state of the operation unit in the driving vehicle 30 through the state grasping unit 33b. That is, the determination unit 33d is an example of a second acquisition unit that acquires method data of the driving vehicle 30 and a third acquisition unit that acquires behavior data regarding the behavior of the driver in the driving vehicle 30.

  Based on the method data of the learning vehicle 20 and the method data of the driving vehicle 30, the determination unit 33d determines whether or not the operation methods in the two vehicles are the same. For example, when the method data is information relating to the vehicle type, if the type of the learning vehicle 20 and the type of the driving vehicle 30 are the same, the determination unit 33d determines that the operation methods are the same for the two vehicles. To do. On the other hand, if the type of the learning vehicle 20 and the type of the driving vehicle 30 are different, the determination unit 33d determines that the operation methods are different between the two vehicles.

  For example, when the method data is a model number indicating an operation method, if the model number of the learning vehicle 20 and the model number of the driving vehicle 30 are the same, the determination unit 33d determines that the operation methods are the same in the two vehicles. to decide. On the other hand, if the model number of the learning vehicle 20 and the model number of the driving vehicle 30 are different, the determination unit 33d determines that the operation methods are different between the two vehicles.

  Further, for example, when the method data is the absolute position of each operation unit, if the absolute position of each operation unit in the learning vehicle 20 and the absolute position of each operation unit in the driving vehicle 30 are the same for all operation units, The determination unit 33d determines that the operation methods are the same for the two vehicles. On the other hand, if the absolute position in at least one operation unit differs between the learning vehicle 20 and the driving vehicle 30, the determination unit 33d determines that the operation methods are different between the two vehicles.

  When the operation method of the learning vehicle 20 and the operation method of the driving vehicle 30 are different from each other, the determination unit 33d determines the following two. That is, the determination unit 33d acquires whether or not behavior data indicating the same behavior as the behavior included in the learning data acquired by the communication unit 34, and the behavior indicated by the behavior data acquired by the determination unit 33d in the learning data. It is determined whether or not the operation associated with is performed on the driving vehicle 30.

  For example, the determination unit 33d first determines whether the action performed by the driver in the driving vehicle 30 is the same as any one of the plurality of actions included in the learning data. For example, when the amount of deviation between the two behavior data is less than the threshold value, the determination unit 33d has the same behavior as the behavior included in the learning data. Judge. On the other hand, when the deviation amount between the behavior data in the driving vehicle 30 and the behavior data included in the learning data is equal to or greater than a predetermined threshold, the behavior indicated by the behavior data in the driving vehicle 30 is included in the learning data. Judged to be different from behavior.

  Next, the determination unit 33d determines whether the operation on the driving vehicle 30 due to the action on the driving vehicle 30 is an operation associated with the action determined to be the same as the action in the learning data. At this time, the determination unit 33d grasps the operation unit whose state has changed through the state grasping unit 33b, and the data related to the operation included in the learning data and the operation of the operation unit grasped by the determination unit 33d are the same. Then, it is determined that the operation by the action on the driving vehicle 30 is the operation associated with the action in the learning data. On the other hand, when these two operations do not match, the determination unit 33d determines that the operation by the action on the driving vehicle 30 is different from the operation associated with the action in the learning data.

  When the determination unit 33d determines that the operation on the driving vehicle 30 is different from the operation on the learning vehicle 20, for example, data indicating an erroneous operation on the driving vehicle 30 and the behavior of the driver on the driving vehicle 30 in the learning data. And data indicating an operation associated with the same action.

  When the determination unit 33d determines that an operation different from the operation on the learning vehicle 20 has been performed on the driving vehicle 30, the command unit 33e is associated with the behavior indicated by the behavior data acquired by the determination unit 33d in the learning data. In response to the operation, the driving vehicle 30 is caused to execute a change in the state of the in-vehicle device executed in the learning vehicle 20.

  That is, when the command unit 33e inputs data indicating an erroneous operation and data indicating an operation associated with the same behavior as the behavior of the driver in the driving vehicle 30 in the learning data, the driver inputs to the driving vehicle 30. On the other hand, the driving vehicle 30 is caused to perform a change in the state of the in-vehicle device accompanying an operation different from the operation actually performed. For example, if the in-vehicle device is a direction indicator light, the in-vehicle device state may be changed from a state in which the direction indicator light is not lit to a lit state, or the in-vehicle device may be a wiper. For example, changing the wiper from a non-operating state to an operating state.

  At this time, the command unit 33e generates a signal for causing the driving vehicle 30 to execute a change in the state of the in-vehicle device associated with the operation associated with the action in the driving vehicle 30 in the learning data, and the in-vehicle device group 35 Output to any included in-vehicle device. In addition, the command unit 33e generates a signal for returning the change in the state of the in-vehicle device due to the erroneous operation to the state before the operation, and outputs the signal to the in-vehicle device whose state has changed due to the erroneous operation.

  In the driving support system 10 described above, an example of a driving support device is configured by the determination unit 33d, the command unit 33e, and the communication unit 34 included in the driving vehicle 30.

[Processing performed by the driving support device]
Processing performed by the driving support device will be described with reference to FIGS. Below, after explaining the outline of the process which the driving assistance system 10 containing a driving assistance apparatus performs, the detail of the assistance process which a driving assistance apparatus performs is demonstrated.

  As shown in FIG. 6, when the driver having the portable terminal 40 gets on the learning vehicle 20, the learning vehicle 20 associates the driver's action with the operation performed on the learning vehicle 20 by the action. Learning data is generated (step S11). Note that the learning vehicle 20 is, for example, while the driver is driving the learning vehicle 20, in other words, while the driver is in the learning vehicle 20, and the ignition switch of the learning vehicle 20 is on. Continue to generate learning data. The learning vehicle 20 transmits the generated learning data and the method data held by the learning vehicle 20 to the mobile terminal 40 (step S12).

  In communication between the learning vehicle 20 and the mobile terminal 40, for example, the learning vehicle 20 is a predetermined distance, and a request to start communication is transmitted within a distance included in the cabin of the learning vehicle 20. The portable terminal 40 may start when it receives a request to start communication. Alternatively, communication between the learning vehicle 20 and the mobile terminal 40 is performed by transmitting a request to start communication toward the distance included in the vehicle compartment of the learning vehicle 20 when the mobile terminal 40 is a predetermined distance. You may start when the vehicle 20 receives the request | requirement of a communication start.

  The portable terminal 40 receives the learning data and the method data transmitted from the learning vehicle 20, and stores the learning data and the method data (Step S21 and Step S22).

  When the driver having the mobile terminal 40 that has learned the learning vehicle 20 gets on the driving vehicle 30, the mobile terminal 40 is stored in the learning data stored in the learning data storage unit 42 and the method data storage unit 41. The method data is transmitted to the driving vehicle 30 (step S23). At this time, the portable terminal 40 transmits vehicle learning data and method data corresponding to the data related to the vehicle held in the vehicle information holding unit 43 to the driving vehicle 30.

  Note that the communication between the mobile terminal 40 and the driving vehicle 30 is, for example, a request for starting communication toward a distance within which the mobile terminal 40 is within a predetermined distance and included in the passenger compartment of the driving vehicle 30. The operation may be started when the driving vehicle 30 receives a request to start communication. Alternatively, the communication between the portable terminal 40 and the driving vehicle 30 is performed by transmitting a request for starting communication toward the distance within which the driving vehicle 30 is within a predetermined distance and included in the cabin of the driving vehicle 30. It may be started when the terminal 40 receives a request to start communication.

  The driving vehicle 30 receives the learning data and the method data transmitted by the mobile terminal 40 (step S31). Next, the driving vehicle 30 supports driving of the driving vehicle 30 by the driver by performing support processing (step S32).

  FIG. 7 shows a procedure of assistance processing performed by the driving assistance device. 7 is a process performed when communication between the driving vehicle 30 and the portable terminal 40 is started.

  As shown in FIG. 7, the determination unit 33d determines whether or not the operation method of the learning vehicle 20 and the operation method of the driving vehicle 30 are the same (step S41). When it is determined that the operation method is the same between the two vehicles, the determination unit 33d ends the support process (step S41: YES). In addition, when the vehicle information holding unit 43 of the mobile terminal 40 does not hold the data related to the vehicle, in other words, when the driver cannot identify the vehicle that the driver is used to, it is determined whether the two method data are the same. Therefore, the determination unit 33d ends the support process.

  On the other hand, when it is determined that the operation methods of the two vehicles are different from each other (step S41: NO), the determination unit 33d determines whether or not the driver has acted on the driving vehicle 30 (step S42). In other words, the determination unit 33d determines whether or not the behavior data output from the behavior detection unit 31 is input.

  When it is determined that the driver has acted (step S42: YES), the determination unit 33d determines whether the operation unit is not operated by the driver performing a predetermined action (step S42). S43). At this time, for example, the determination unit 33d has an operation unit in which the state grasped by the state grasping unit 33b is changed from the first state to the second state when the action data that is the object of the determination in step S42 is input. Judge whether there is.

  For example, the determination unit 33d compares all the behavior data included in the learning data with the behavior data output by the behavior detection unit 31. And while two data are the same, when the operation linked | related with the action is not performed over predetermined time in learning data, the determination part 33d is not operated by a driver | operator. You may judge. Such a situation is the first situation, and while performing the same action as the action included in the learning data, it is highly likely that the situation where the operation unit is not located at the point where the action is intended.

  In addition, for example, the behavior data is data indicating that the driver's hand has reached a predetermined operation unit, and the switch is operated within a predetermined time after reaching the operation unit. If not, the determination unit 33d may determine that the operation by the driver is not performed. This situation is the second situation, and it is highly likely that the driver recognizes the position of the operation unit, but does not recognize the operation method of the operation unit.

  For example, the behavior data includes data indicating that the driver has moved his arm or hand over a predetermined time, or the space where the driver is moving his arm or hand is greater than a predetermined size. When the data indicates that there is data, the determination unit 33d may determine that the operation by the driver is not performed. Such a situation is the third situation, which is highly likely to reflect the situation where the driver is looking for an operation unit to be operated.

  When it is determined that an operation by the driver is not performed (step S43: YES), the determination unit 33d performs a process when an operation is impossible, which will be described later (step S44). When the processing when the operation is impossible is performed, the determination unit 33d determines whether or not the ignition switch is turned off (step S45). The determination unit 33d grasps the state of the ignition switch through the state grasping unit 33b. When it is determined that the ignition switch is on (step S45: NO), the processing from step S42 onward is repeated, while when it is determined that the ignition switch is off (step S45: YES). The driving vehicle 30 ends the support process.

  Even when it is determined that no action data is input (step S42: NO), the determination unit 33d performs the process of step S45 described above.

  On the other hand, when it is determined that the operation of the operation unit by the driver is performed (step S43: NO), the determination unit 33d determines whether the operation performed by the driver is an erroneous operation (step). S46). As described above, the determination unit 33d determines whether an operation different from the operation associated with the behavior in the learning data is performed while the behavior of the driver is included in the learning data. Thereby, it is determined whether or not the operation performed by the driver is an erroneous operation. For example, when the action performed by the driver is the same as the first action in the learning data described above, the determination unit 33d determines that the operation performed by the driver is a wiper switch operation. Then, it is determined that the operation performed by the driver is an erroneous operation (step S46: YES).

  And the instruction | command part 33e makes the operating vehicle change in the state of the vehicle equipment accompanying the operation linked | related to the action made into judgment object in step S45 by the operating part 30, and the driving vehicle 30 by a driver | operator is carried out. Is supported (step S47). For example, when the action performed by the driver is the first action and the operation performed by the driver is an operation of the wiper switch, the command unit 33e lights a direction indicator lamp indicating a right turn. , Stop the wiper operation.

  Then, the learning data generation unit 33a generates learning data in which the action data and the data related to the operation, that is, the data related to the erroneous operation are associated with each other. And the communication part 34 transmits learning data to the portable terminal 40, and the portable terminal 40 accumulate | stores in the learning data storage part 42 as learning data which belongs to the driving vehicle 30 (step S48).

  On the other hand, the determination unit 33d, for example, does not coincide with the behavior included in the learning data described above and the operation performed by the driver is performed when the operation unit is operated. It is determined that there is no erroneous operation (step S46: NO). At this time, the learning data generation unit 33a generates learning data learning data in which the action data and the data regarding the operation, that is, the data regarding the correct operation are associated with each other. And the communication part 34 transmits learning data to the portable terminal 40, and the portable terminal 40 accumulate | stores in the learning data storage part 42 as learning data which belongs to the driving vehicle 30 (step S49).

  The determination unit 33d also executes the process of step S45 when each of the process of step S48 and the process of step S49 described above is executed.

With reference to FIG. 8, the process when the operation is disabled in step S44 will be described in more detail.
As shown in FIG. 8, in the process when the operation is impossible, first, the determination unit 33 d determines whether the situation when the driver cannot perform the operation is the first situation or the second situation. Judgment is made (step S51).

  Here, in the first situation described above, the behavior data that is determined in step S43 is the same as any one of the plurality of behavior data included in the learning data. Therefore, there is a high possibility that the driver wants to perform an operation associated with the behavior included in the learning data. Further, in the second situation, it is possible to identify an operation unit that is likely to be operated by the driver. Therefore, when it is determined that the situation when the operation is impossible is the first situation or the second situation (step S51: YES), the determination unit 33d allows the driving vehicle 30 to perform the operation based on the action through the command unit 33e. The driving vehicle 30 is caused to change the state (step S52).

  In this case, learning when the operation is impossible from the action performed by the driver on the driving vehicle 30 and the operation associated with the action in the learning data or the operation on the operation unit reached by the driver. Generate data. Then, learning data when the operation is impossible is transmitted from the driving vehicle 30 to the portable terminal 40 and stored in the learning data storage unit 42 (step S53).

  On the other hand, when it is determined that the situation when the operation is impossible is not the first situation or the second situation, that is, the third situation (step S51: NO), the judging unit 33d uses the command unit 33e to learn the vehicle. The driving vehicle 30 is caused to change the state of the driving vehicle 30 due to the operation performed by the driver with the highest frequency at 20 (step S54).

  Here, in the third situation, unlike the first situation and the second situation, it is difficult to estimate the operation that the driver tried to perform from the behavior of the driver. Therefore, if the driving vehicle 30 performs the operation performed most frequently by the driver in the learning vehicle 20, the driving of the vehicle by the driver can be supported rather than causing the driving vehicle 30 to perform other operations. The possibility of being able to be increased.

  In the assistance process in the driving vehicle 30, after the process of step S53 or the process of step S54 is performed, the process of step S45 described above is performed.

  According to such a driving support device, the operation performed on the learning vehicle 20 is not performed on the driving vehicle 30 even though the behavior that the driver performs on the learning vehicle 20 is performed. In addition, the driving vehicle 30 is caused to change the state of the in-vehicle device by the operation performed in the learning vehicle 20. This causes the vehicle to execute a change in the state of the in-vehicle device due to the operation that the driver was trying to perform in a situation where it is estimated that the operation that the driver was trying to perform because the operation method of the vehicle was different. be able to. Therefore, when the vehicle that the driver is driving is different from the vehicle to be learned, the operation of the vehicle by the driver can be supported.

[Conditions that can be added to erroneous operation determination]
Below, 10 conditions which can be added in the process (step S46) which judges whether a driver | operator's operation is an erroneous operation are demonstrated. Note that one of the ten conditions may be added to the process of step S46, or two or more conditions may be added. By adding these conditions, it is possible to increase the accuracy in determining an erroneous operation, and it is possible to increase the accuracy in determining an erroneous operation as the number of conditions added to determining an erroneous operation increases.

  Under the first condition, in the learning vehicle 20 and the driving vehicle 30, the operation unit is located at the same absolute position, and the function of the operation unit of the learning vehicle 20 and the function of the operation unit of the driving vehicle 30 are mutually Different. And when the operation part of the driving vehicle 30 is operated by the same action as the action when operating the operation part of the learning vehicle 20, the determination part 33d determines that the operation of the driver is an erroneous operation.

  In this case, based on the method data of the learning vehicle 20 and the method data of the driving vehicle 30, the absolute position of the operation unit operated by the driver in the driving vehicle 30 by a predetermined action and the action in the learning vehicle 20 The determination unit 33d may determine whether or not the absolute position of the operation unit operated by is equal.

  Under the second condition, in the learning vehicle 20 and the driving vehicle 30, the operation unit is located at the same absolute position, and the function of the operation unit of the learning vehicle 20 and the function of the operation unit of the driving vehicle 30 are mutually equal. Each of the operation unit of the learning vehicle 20 and the operation unit of the driving vehicle 30 has a first function and a second function, and directions for operating the operation unit are different from each other in order to express each function. In addition, the direction for developing the first function by the operation unit of the learning vehicle 20 is equal to the direction for developing the second function by the operation unit of the driving vehicle 30, and the operation unit of the learning vehicle 20 The direction for developing the second function is equal to the direction for developing the first function by the operation unit of the driving vehicle 30.

  Then, in the driving vehicle 30, when the driver operates the operation unit in the direction for causing the first function to be developed in the learning vehicle 20, the determination unit 33d determines that the operation of the driver is an erroneous operation.

  In this case, based on the method data of the learning vehicle 20 and the method data of the driving vehicle 30, the absolute position and operation method of the operation unit operated by the driver by the predetermined action on the driving vehicle 30 are stored in the learning vehicle 20. The determination unit 33d may determine whether the absolute position of the operation unit operated by the action and the operation method have the above-described relationship.

  Under the third condition, in the learning vehicle 20, when an action associated with the operation of the operation unit having a large number of operations per predetermined time or per predetermined travel distance is performed, it is easily determined that the operation is erroneous. .

  In this case, has the operation associated with the action determined in step S46 in the learning data been performed more than a predetermined number of times per predetermined time or per predetermined travel distance in the learning vehicle 20? The determination unit 33d may determine whether or not. Then, when it is determined that the number of times that the operation has been performed is equal to or greater than the predetermined number, the threshold of the deviation amount when determining whether or not the operation is incorrect may be reduced.

  Alternatively, by multiplying an action associated with an operation performed a predetermined number of times or more in the learning data by multiplying a weighting factor, the threshold value of the deviation amount when determining whether or not the operation is erroneous can be changed. When an action is performed, it can be easily determined that the operation is erroneous than when another action is performed.

  Note that, in the learning vehicle 20, the number of operations per predetermined time or per predetermined travel distance is, for example, that the learning data generation unit 23a of the learning vehicle 20 performs an operation per predetermined time or per predetermined travel distance. Information regarding the number of times may be generated, and the communication unit 24 of the learning vehicle 20 may transmit the information to the mobile terminal 40.

  In the fourth condition, an operation performed by the driver in the driving vehicle 30 is estimated from information related to the position where the driving vehicle 30 is traveling and information related to a route on which the driving vehicle 30 is to travel. The information related to the route on which the driving vehicle 30 is scheduled to travel may be, for example, information related to the route set in the driving vehicle 30 or information related to the environment around the position where the driving vehicle 30 is traveling. When the estimated operation is different from the operation actually performed by the driver, the determination unit 33d determines that the driver's operation is an erroneous operation.

  In this case, the driving vehicle 30 includes, for example, a GPS, a map information recording unit, a route information generation unit, and an operation estimation unit. The GPS receives a GPS satellite signal for detecting the absolute position of the vehicle on which the GPS is mounted. The GPS specifies the position of the vehicle, that is, the longitude and latitude of the vehicle based on the received GPS satellite signal.

  Map information is recorded in the map information recording unit. The map information includes information indicating the longitude and latitude of curves, intersections, T-junctions, and roads having a plurality of lanes. The route information generation unit generates the current position of the vehicle and the route information to the destination based on the position of the vehicle specified by the GPS, the map information, and the information on the destination. The operation estimation unit estimates an operation performed by the driver in the driving vehicle 30 based on the current position of the vehicle and the route information.

  For example, in the route information, when an intersection is located ahead of the current position of the vehicle and the vehicle turns right at the intersection, it is estimated that the driver operates a turn signal indicating a right turn.

  Note that the route information need not be generated in the driving vehicle 30, and in this case, an operation performed by the driver may be estimated from the current position of the vehicle and the map information.

  In the fifth condition, in the learning data generated by the learning vehicle 20, in addition to the driver's behavior, a plurality of behaviors of the driver are linked to operations performed by the driver. The driver's behavior includes, for example, the driver's face direction, line of sight, facial expression, voice, and the like. In other words, the driver's face direction, line of sight, facial expression, voice, and the like may be used as parameters in determining an erroneous operation.

  Of the behaviors of the driver, when a state equal to or greater than a predetermined number, that is, a threshold value is different from a state associated with a predetermined operation in the learning data, the determination unit 33d determines that the operation of the driver is an erroneous operation. Make it easier. For example, the threshold value of the deviation amount when determining whether or not the above-described erroneous operation may be reduced.

  Here, among the behaviors of a plurality of drivers, the more the behavior different from the state associated with the predetermined operation in the learning data, the higher the possibility that the driver will perform an erroneous operation. Of the driver's behavior, in particular, when the face direction and line of sight differ from the face direction and line of sight associated with a predetermined operation in the learning data, the driver is likely to perform an incorrect operation. .

  Therefore, among the parameters used for determination of erroneous operation, by multiplying the face direction and the line of sight by a weighting factor, the other parameters are different from the state associated with the predetermined operation in the learning data, as described above. The threshold value may be easily exceeded.

  In the sixth condition, the mental state of the driver is estimated from the driver's facial expression and voice, and the mental state is tense, impatient, and uplifted, and the normal state and Are different, the driver's operation is easily determined to be an erroneous operation.

  In this case, the driving vehicle 30 includes, for example, a mental information holding unit and a mental state estimating unit. For example, the mental information holding unit stores facial expression data in which data on facial expressions and data on emotions associated with the facial expressions are associated, and voice data in which data on voices and data on emotions associated with the voice are associated. keeping. The mental state estimation unit is based on the data related to the facial expression generated by the behavior detection unit 31 and the facial expression data stored in the mental information storage unit, or the data related to the voice generated by the behavior detection unit 31 and the mental information storage unit The driver's mental state is estimated based on the voice data held by the driver.

  Then, when it is estimated that the driver's mental state is different from the normal state, the threshold of the deviation amount when determining whether or not the operation is erroneous may be reduced.

  In the seventh condition, when the driver is performing another action in parallel with the action for operating the operation unit, the driver's operation is easily determined to be an erroneous operation. For example, when the driver performs the operation of the steering wheel and the operation of the turn signal switch for turning on the direction indicator lamp or the operation of the hazard switch in parallel, it is determined that the operation of the driver is an erroneous operation. May be easier.

  In this case, the behavior detection unit 31 has the same behavior as any of the plurality of behaviors included in the learning data, the same behavior as any of the plurality of behaviors included in the learning data, or all the behaviors included in the learning data. Simultaneously detect different actions. And when the judgment part 33d inputs the action data which are these two actions and are performed simultaneously, you may make it easy to judge that a driver | operator's operation is erroneous operation in the judgment part 33d. That is, the threshold value of the deviation amount when determining whether or not the operation is erroneous may be reduced.

  In the eighth condition, when the driving period of the vehicle by the driver is short, the driver's operation is easily determined to be an erroneous operation. For example, when the driver's action accompanying the predetermined operation is the first action after the ignition switch of the driving vehicle 30 is turned on, the driver's action is compared with the second action or later. It may be easy to determine that the operation is an erroneous operation. In this case, the determination unit 33d may determine whether or not the action data input by the determination unit 33d is the first data after the ignition switch is turned on.

  Also, for example, when the driver is driving the vehicle, in other words, when the driver's experience years of driving are less than a predetermined number of years, the driver's years of experience are greater than a predetermined number of years, compared to when the driver's experience years are more than a predetermined number of years. It may be easy to determine that the operation is an erroneous operation.

  In this case, for example, the portable terminal 40 has an application for car sharing service, and the portable terminal 40 may transmit data related to the years of experience input by the driver in the application to the driving vehicle 30. The determination unit 33d may determine whether or not the driver's experience years of driving are less than a predetermined number of years based on the data related to the years of experience.

  When either of the two conditions described above is satisfied, the threshold value of the deviation amount when determining whether or not the operation is erroneous may be reduced.

  In the ninth condition, when the route on which the driving vehicle 30 is traveling is a route that the driver is not familiar with driving, it is easy to determine that the operation of the driver is an erroneous operation. In this case, for example, the mobile terminal 40 includes a travel history holding unit, and the travel history holding unit holds data relating to a history of a route traveled by the driver by the vehicle. The portable terminal 40 transmits data related to the travel history to the driving vehicle 30 through the communication unit 45. In the driving vehicle 30, in the data relating to the travel history, when the history of traveling the route on which the driving vehicle 30 is traveling is less than a predetermined number of times, the determination unit 33d determines that the route on which the driving vehicle 30 is traveling is It is determined that the route is unfamiliar with driving.

  When it is determined that the route is not driven by the driver, the threshold value of the deviation amount when determining whether or not the operation is erroneous may be reduced.

  In the tenth condition, when the operation performed by the driver on the driving vehicle 30 is an operation with a large number of erroneous operations, the driver's operation is easily determined to be an erroneous operation. For example, when data regarding the operation performed by the driver on the driving vehicle 30 is included in the learning data learned in step S48 in a predetermined number or more, it is easy to determine that the driver's operation is an erroneous operation. That's fine.

  Then, when it is determined that the operation is frequently performed, the threshold value of the deviation amount when determining whether the operation is erroneous may be reduced.

  Note that when at least one of the above-described conditions is added to the determination of an erroneous operation in step S46, the learning data generated in step S48 may include information on matters taken into account in each condition.

As described above, according to one embodiment of the driving support device, the following effects can be obtained.
(1) When the driver is driving a driving vehicle 30 having a different operation method from the learning vehicle 20, the learning vehicle 20 performs an action that the driver performs, but the learning vehicle 20 performs When the performed operation is not performed on the driving vehicle 30, the driving vehicle 30 is caused to change in the state of the in-vehicle device accompanying the operation performed on the learning vehicle 20. Therefore, in a situation where it is estimated that the operation that the driver was trying to perform because the operation method of the vehicle is different, the vehicle is caused to execute a change in the state of the in-vehicle device accompanying the operation that the driver was trying to perform. be able to. Therefore, when the vehicle that the driver is driving is different from the vehicle to be learned, the operation of the vehicle by the driver can be supported.

The above-described embodiment can be implemented with appropriate modifications as follows.
The driving support device includes information indicating that the operation method of the driving vehicle 30 is different from the operation method of the learning vehicle 20 or the operation method of the driving vehicle 30 as method data that is information related to the operation method of the driving vehicle 30. The structure which acquires the information which shows that it is the same as the operation method of the learning vehicle 20 may be sufficient. In this case, for example, the mobile terminal 40 receives information corresponding to the operation method of the learning vehicle 20 and information corresponding to the operation method of the driving vehicle 30, and determines whether the two operation methods are the same. do it. And the portable terminal 40 should just transmit the result of determination to the driving vehicle 30. FIG. In such a configuration, the processing load on the driving vehicle 30 can be reduced by not determining whether or not the method data is the same between the two vehicles in the driving vehicle 30. In this configuration, the communication unit 34 of the driving vehicle 30 is an example of a second acquisition unit.

  The mobile terminal 40 may include at least one of a determination unit and a command unit. When the mobile terminal 40 includes a determination unit, the mobile terminal 40 acquires the behavior of the driver in the driving vehicle 30 and the operation performed by the behavior, and associates the behavior transmitted from the driving vehicle 30 with the learning data. It may be determined whether or not the performed operation is different from the operation performed on the driving vehicle 30.

  When the portable terminal 40 includes a command unit, when the portable terminal 40 receives a result that the determination unit determines that an operation different from the operation on the learning vehicle 20 is performed on the driving vehicle 30, the portable terminal 40 The driving vehicle 30 may be made to perform the same operation as the operation in the learning vehicle 20 associated with the action in the driving vehicle 30. According to such a configuration, the configuration of the driving vehicle 30 can be simplified, and the processing load on the driving vehicle 30 can be reduced.

  The state grasping units 23b and 33b do not have to be configured to grasp that the state of each operation unit changes between the first state and the second state, and the state of each operation unit is the first state. And the second state may be recognized. In this case, the learning data generation units 23a and 33a generate learning data in which the states of all the operation units are associated with the behavior data when the behavior detection unit 21 detects the driver's behavior. Then, the learning data generation units 23a and 33a generate learning data in which the state of the operation unit that is the same in all of the plurality of learning data corresponding to the specific behavior is associated with the behavior. Thereby, the learning data generation units 23a and 33a can generate learning data in which one operation is associated with one action.

  In addition, when a predetermined action is detected, the determination unit 33d grasps the state of the operation unit associated with the action in the learning data through the state grasping unit 33b, and is associated with the action in the learning data. It can be determined whether or not an operation has been performed.

  In such a configuration, the determination unit 33d preferably performs the following processing. That is, when the driver has made an erroneous operation, and the change in the state of the in-vehicle device by the correct operation cannot be caused to be executed by the driving vehicle 30 due to the change in the state of the in-vehicle device due to the erroneous operation, It is preferable that the determination part 33d performs the process which returns the state of the vehicle-mounted apparatus changed by erroneous operation to the state before erroneous operation.

  -About the operation part from which a state switches by operation by the same action, it is preferable that learning data generation part 23a, 33a makes operation linked with the action the switching operation for switching the state of an operation part. Then, when the operation unit is not operated in spite of such action in the driving vehicle 30, the state of the in-vehicle device whose state is changed by the operation of the operation unit may be switched to the driving vehicle 30. In such a configuration, it is preferable that the action data in the learning data includes a time required for one action. Accordingly, when the driver recognizes an erroneous operation and operates the operation unit a plurality of times in a short period of time, it is possible to suppress the assistance process from being performed each time the operation is performed.

  -If it is determined in step S51 that the situation is not the first situation or the second situation, in other words, if it is judged that the situation is the third situation, it depends on the situation of the route on which the driving vehicle 30 is traveling. Thus, the driving vehicle 30 may be changed in the state of the in-vehicle device accompanying the operation estimated to be performed by the driver. Alternatively, in the process when the operation is impossible in step S44, it is estimated that the driver performs the operation according to the situation of the route on which the driving vehicle 30 is traveling, regardless of the situation when the driver does not perform the operation. The driving vehicle 30 may be changed in the state of the in-vehicle device accompanying the operation. In this case, for example, the driving vehicle 30 has the same configuration as the driving vehicle 30 described in the fourth condition described above, and includes a GPS, a map information recording unit, a route information generation unit, and an operation estimation unit. Any configuration may be used. And the driving assistance apparatus should just make the driving vehicle 30 perform the change in the state of the vehicle equipment accompanying the driver | operator's operation which the operation estimation part estimated.

  In such a configuration, the learning data generation unit 33a generates learning data in which the operation estimated by the operation estimation unit and the driving vehicle 30 are linked, and the communication unit 34 transmits the learning data to the mobile terminal 40. Operations that could not be performed by the driver may be learned.

  In step S51, when it is determined that the situation is the first situation or the second situation, the driving vehicle 30 is caused to execute a predetermined operation, while when it is judged that the situation is not the first situation or the second situation, the driving is performed. The vehicle 30 may not be subjected to a predetermined operation. According to such a configuration, the processing load on the driving vehicle 30 can be reduced as much as the opportunity for the driving vehicle 30 to perform a predetermined operation is reduced.

  In the process of determining that the operation is impossible, that is, in the process of step S43, it is easy to determine that the operation by the driver is not performed when the operation is a large number of operations that the driver cannot operate in the driving vehicle 30. May be. For example, when the driver cannot perform an operation when the data related to the operation estimated from the action performed by the driver in the driving vehicle 30 is included in a predetermined number or more in the learning data learned in step S53. It may be easy to judge.

  When it is determined that the operation has not been performed frequently due to the action, for example, when the time elapsed since the driver performed the action associated with the operation is shorter, the determination unit 33d What is necessary is just to judge that the driver is not operating.

  -In the support process, it is not necessary to perform a process for determining that the operation is impossible. That is, in the support process, the process of step S43 and the process of step S44 described above may be omitted, and the process of step S46 may be performed after the process of step S42. In this case, for example, in the situation where it is not possible to determine whether or not there is an erroneous operation due to the first situation to the third situation in the determination of the erroneous operation in step S46, the process of step S47 and the process of step S48 are performed. The process of step S45 may be performed without performing it.

  Even in such a configuration, the driving support device determines whether or not the driver's operation is an erroneous operation, and when the operation is an erroneous operation, the driving vehicle 30 can change the state of the driving vehicle 30 by the correct operation. Thus, the same effect as (1) described above can be obtained. In addition, the processing load on the driving vehicle 30 can be reduced by the amount of processing that cannot be performed.

  The driving support system 10 does not have to perform learning when the operation is impossible and learning when an erroneous operation is performed, that is, the process of step S53 and the process of step S48. Even in such a configuration, if learning is performed when correct operation is performed, the driving vehicle 30 is set to a vehicle familiar to the driver, and the driver is set to a vehicle other than the driving vehicle 30. It is possible to determine whether or not the operation performed by the driver is an erroneous operation when boarding. Further, by not performing learning when the operation is impossible and learning when an erroneous operation is performed, it is possible to reduce the capacity for storing learning data in the mobile terminal 40 and to reduce the processing load related to learning.

  -In step S47, even if the content of the change in the state of the in-vehicle device executed in accordance with the erroneous operation and the content of the change in the state of the in-vehicle device to be executed by the driving vehicle 30 are executed simultaneously, the state of the in-vehicle device by the driving vehicle 30 If there is no problem in the execution of the change, the state of the in-vehicle device that has been changed due to an erroneous operation may not be returned to the state before the change.

  The driving support device is not limited to the driving vehicle 30 and may support the driver even when the driver is driving the learning vehicle 20. In other words, even when the driver is driving a vehicle having the same operation method as that of the vehicle corresponding to the data related to the vehicle held by the vehicle information holding unit 43 of the mobile terminal 40, the driving support device supports the driver. May be performed.

  In this case, when it is determined that the operation method of the vehicle learned in step S41 is the same as the operation method of the vehicle on which the driver is riding, the same processing as that in steps S42 to S49 is performed. Just do it. When the driver is in the learning vehicle 20, it is only necessary to determine whether or not the driver's action is applicable to the first situation described above in the process corresponding to step S <b> 43. In the process corresponding to step S46, the fourth condition, the seventh condition, the ninth condition, and the tenth condition may be added to the determination of an erroneous operation.

  According to such a configuration, in addition to the case where the driver is driving a vehicle having a different operation method from the learned vehicle, the driving is also performed when the driver is driving the same operation method as the learned vehicle. It is possible to support driving of a vehicle by a person.

  The vehicle that the driver is used to riding may be set by the following method, for example. That is, the portable terminal 40 generates data related to the vehicle on which the driver has boarded, and transmits the generated data to a server that manages information about the vehicle on which the driver has boarded. The server accumulates data related to the vehicle on which the driver has boarded, and based on the accumulated data, identifies the vehicle with the highest frequency of boarding by the driver or the vehicle with the longest period the driver has boarded. The selected vehicle is set as a vehicle that the driver is used to riding. In such a configuration, the vehicle information holding unit 43 and the learning data monitoring unit 44 of the mobile terminal 40 may be omitted, whereby the configuration of the mobile terminal 40 can be simplified.

  -A driving assistance system may be comprised from the portable terminal with which a driver | operator is provided, a server, and the driving vehicle 30. FIG. In this case, the mobile terminal may hold the learning data and method data of the learning vehicle 20 in the above-described embodiment, and transmit these pieces of information to the server. And a server should just accumulate | store the received learning data and system data, and should transmit these information to the driving vehicle 30. FIG.

  -A driving assistance system may be comprised from the learning vehicle 20, the driving vehicle 30, and a server. In this case, the server should just have a function equivalent to the portable terminal 40 in embodiment mentioned above. In such a configuration, each of the learning vehicle 20 and the driving vehicle 30 only needs to have an authentication unit that authenticates a driver driving each vehicle, for example. Thereby, when the same driver is driving the driving vehicle 30 different from the learning vehicle 20 for learning, driving of the vehicle by the driver can be supported.

  DESCRIPTION OF SYMBOLS 10 ... Driving assistance system, 20 ... Learning vehicle, 20A ... 1st vehicle-mounted apparatus, 21, 31 ... Action detection part, 22, 32 ... Operation part group, 23, 33 ... Control apparatus, 23a, 33a ... Learning data generation part, 23b, 33b ... status grasping unit, 23c, 33c, 41 ... method data holding unit, 24, 34, 45 ... communication unit, 25, 35 ... in-vehicle device group, 30 ... driving vehicle, 30A ... second in-vehicle device, 33d ... Determination unit, 33e ... command unit, 40 ... portable terminal, 42 ... learning data storage unit, 43 ... vehicle information holding unit, 44 ... learning data monitoring unit.

Claims (1)

A first acquisition unit that acquires learning data in which a driver's behavior associated with the operation of the operation unit in the learning vehicle for learning and an operation of the operation unit performed by the driver's behavior are linked;
A second acquisition unit for acquiring method data relating to an operation method of a driving vehicle being driven by the driver;
A third acquisition unit for acquiring behavior data relating to the behavior of the driver in the driving vehicle;
Action data indicating that the operation method of the driving vehicle in the method data acquired by the second acquisition unit is different from the operation method of the learning vehicle, and the third acquisition unit exhibits the same action as the action included in the learning data. In the learning data acquired by the first acquisition unit, it is determined whether an operation associated with the behavior indicated by the behavior data acquired by the third acquisition unit has been performed on the driving vehicle. A determination unit;
When the determination unit determines that the operation associated with the behavior indicated by the behavior data acquired by the third acquisition unit in the learning data acquired by the first acquisition unit is not performed on the driving vehicle. In addition, a command for causing the driving vehicle to execute a change in the state of the in-vehicle device executed in the learning vehicle in accordance with an operation associated with the behavior indicated by the behavior data acquired by the third acquisition unit in the learning data. And a driving support device.