JP2019128697A - Information processing method and information processing device - Google Patents

Abstract

To provide an information processing method and an information processing device capable of specifying in a short time that a peripheral vehicle is an attention required vehicle.SOLUTION: Based on driving information of a vehicle and image information around the vehicle, it is determined whether or not an emergency operation is performed, a peripheral vehicle that is closely related to the emergency operation is extracted as an attention-required vehicle from peripheral vehicles existed around the vehicle when the emergency operation was performed, and an attribute of the attention-required vehicle indicating characteristics of the attention-required vehicle is specified.SELECTED DRAWING: Figure 1

Description

  The present invention relates to an information processing method and an information processing apparatus.

  Driving support that warns the driver under a given situation by estimating the trajectory of the vehicle and obstacles based on the map data and multiple information that identifies the current situation such as the current location, vehicle speed, and traveling direction of the vehicle An apparatus is known (Patent Document 1).

JP, 2006-309445, A

  In the prior art, in order to estimate movement trajectories of vehicles and obstacles, it is necessary to detect vehicles and obstacles for a predetermined time. For this reason, there is a problem that it takes time to detect that the surrounding vehicle is a cautionary vehicle that causes a driving operation contrary to the intention of the driver after the surrounding vehicle is detected.

  The problem to be solved by the present invention is to provide an information processing method and an information processing apparatus capable of specifying in a short time that a surrounding vehicle corresponds to a caution requiring vehicle.

  The present invention determines whether or not an emergency operation has been performed based on the travel information of the vehicle and image information around the vehicle, and among the surrounding vehicles that existed around the vehicle when the emergency operation was performed, The above problem is solved by extracting surrounding vehicles having a close relationship with the emergency operation as the vehicles requiring caution and specifying the attributes of the vehicles requiring attention indicating the features of the vehicles requiring attention.

  According to the present invention, it is possible to identify, in a short time, that the nearby vehicles correspond to the caution vehicles by using the attributes of the identified caution vehicles.

FIG. 1 is a diagram showing a block configuration diagram of an information providing system according to the present embodiment. FIG. 2 is a diagram illustrating an example of an emergency action induction level for vehicle attributes. FIG. 3 is a flowchart showing a probe data analysis process according to the present embodiment. FIG. 4 is a flowchart showing an information providing process according to the present embodiment. FIG. 5 is an example of the driving operation performed by the driver who does not present the caution vehicle information. FIG. 6 is an example of the driving operation performed by the driver for which the caution vehicle information is presented.

  Hereinafter, embodiments of the present invention will be described based on the drawings.

  In this embodiment, it is a figure which shows the structure of the information-provision system which concerns on this invention. As shown in FIG. 1, the information providing system according to the present embodiment includes a plurality of in-vehicle devices 100 mounted on a plurality of vehicles, and an information processing device 200 installed outside the vehicles. Examples of the information processing apparatus 200 include a server provided in a data center.

  The plurality of in-vehicle devices 100 and the information processing device 200 can exchange various information via a communication line. Examples of the communication line include a mobile phone network, a wireless LAN network, a DSRC (Dedicated Short Range Communications) network, and a power line communication network. The in-vehicle device 100 may record various information on a removable storage medium such as a flash memory, and may transmit and receive the recorded various information via a terminal (for example, a personal computer or a smartphone) having a communication function. In the example illustrated in FIG. 1, only one in-vehicle device 100 mounted in one vehicle is illustrated, but the information providing system can be configured to include a plurality of in-vehicle devices 100.

  As illustrated in FIG. 1, the in-vehicle apparatus 100 includes a sensor group 110, an operation device group 120, an in-vehicle communication device 130, an in-vehicle control device 140, and a presentation device 150. These devices are connected by a CAN (Controller Area Network) or other in-vehicle LAN in order to exchange information with each other.

  The sensor group 110 is configured of a device that detects the traveling state of the vehicle. Specifically, the sensor group 110 according to this embodiment includes an imaging device 111, an obstacle detection device 112, a distance measurement device 113, a vehicle position detection device 114, a vehicle speed sensor 115, and a driving operation detection device 116.

  The imaging device 111 is provided, for example, on the front side, the rear side, and the side of the vehicle, and images the periphery of the host vehicle. Examples of the imaging device 111 include a camera using an imaging element such as a CCD.

  The obstacle detection device 112 is provided, for example, at the front, rear, and side of the vehicle, and detects an obstacle present around the host vehicle. The obstacle includes other vehicles (hereinafter referred to as surrounding vehicles), two-wheeled vehicles, and pedestrians existing around the host vehicle. Examples of the obstacle detection device 112 include a radar and a sonar. When inter-vehicle communication is possible with the surrounding vehicle, the obstacle detection device 112 may recognize that the surrounding vehicle exists from the communication result with the surrounding vehicle.

  The distance measuring device 113 is provided, for example, on the front, rear, and side of the vehicle, detects the positional relationship between the host vehicle and an obstacle existing around the host vehicle, and determines the distance from the host vehicle to the obstacle. taking measurement. Examples of the distance measuring device 113 include millimeter wave radar.

  When a plurality of obstacles exist around the vehicle, the obstacle detection device 112 identifies and detects each of the plurality of obstacles, and the distance measuring device 113 detects the distance between the own vehicle and each of the plurality of obstacles. Measure the distance.

  The vehicle position detection device 114 detects the current position of the host vehicle. Examples of the vehicle position detection device 114 include a GPS receiver.

  The vehicle speed sensor 115 is provided, for example, in the vicinity of the wheel to detect the speed of the vehicle. The vehicle speed sensor 115 may detect the acceleration of the host vehicle.

  The driving operation detection device 116 detects a driving operation by the driver. The driver's driving operation includes steering operation, accelerator pedal operation, and brake pedal operation. The driving operation detection device 116 detects information related to steering such as the steering amount, steering speed, and steering acceleration of the host vehicle. Further, the driving operation detection device 116 detects the amount of depression of the accelerator pedal by the driver. Further, the driving operation detection device 116 detects the amount of depression of the brake pedal by the driver. Examples of the driving operation detection device 116 include a steering angle sensor, an accelerator sensor, and a brake sensor.

  Each device constituting the sensor group 110 outputs the detection result to the in-vehicle control device 140.

  The operating device group 120 is an operating member that can be operated by a driver. The operating device group 120 of this embodiment includes at least a steering wheel, an accelerator pedal, a brake pedal, a turn signal switch that blinks the left and right direction indicators, and a hazard switch that blinks a hazard lamp. When the driver operates the operation device group 120, the operation device group 120 outputs operation information to the on-vehicle control device 140.

  The on-vehicle communication device 130 is a device capable of communicating with the communication device 210 of the information processing device 200 via a telephone network or the like. The in-vehicle communication device 130 transmits probe data input from the in-vehicle control device 140 to the information processing device 200, and receives and receives information on the caution vehicle (hereinafter, caution vehicle information) from the information processing device 200. Vehicle information requiring caution is output to the on-vehicle control device 140. The details of the probe data and the caution vehicle information will be described later.

  The in-vehicle controller 140 includes a ROM (Read Only Memory) that stores a program for presenting the vehicle information requiring attention to the driver, and a CPU (Central Processing Unit) that functions as an operation circuit that executes the program stored in the ROM. And a RAM (Random Access Memory) functioning as an accessible storage device. Note that as the operation circuit, a micro processing unit (MPU), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA), or the like may be used instead of or in addition to a central processing unit (CPU).

  The in-vehicle control device 140 executes a program stored in the ROM by the CPU to acquire a probe data acquisition function for acquiring probe data, a probe data transmission function for transmitting the acquired probe data to the information processing apparatus 200, and information An information presentation function for presenting information received from the processing device 200 to the driver. Below, each function with which the vehicle-mounted control apparatus 140 is provided is demonstrated.

  The in-vehicle control device 140 acquires the detection result of each device from the sensor group 110 as probe data by the probe data acquisition function. For example, the on-vehicle control device 140 acquires, from the imaging device 111, a captured image of the surroundings of the host vehicle that can identify surrounding vehicles, traffic lights, two-dimensional signs on the road, and the like. The in-vehicle control device 140 then probes the appearance information of the surrounding vehicle including information on the shape of the surrounding vehicle, the vehicle type of the surrounding vehicle, the body color of the surrounding vehicle, and the license plate of the surrounding vehicle from the captured image around the own vehicle. Acquire as data. In-vehicle control device 140 can acquire appearance information of surrounding vehicles by performing image processing on captured images around the subject vehicle. In addition, when there are a plurality of surrounding vehicles, the in-vehicle control device 140 acquires appearance information of the plurality of surrounding vehicles corresponding to the plurality of surrounding vehicles, respectively.

  Further, the onboard control device 140 uses the probe data acquisition function to provide information on the position of the surrounding vehicle relative to the position of the own vehicle from the obstacle detection device 112 and the distance measuring device 113 (hereinafter referred to as position information on the surrounding vehicle. ) And information on the distance from the host vehicle to the surrounding vehicle (hereinafter referred to as distance information of the surrounding vehicle) are acquired as probe data. Furthermore, the in-vehicle control device 140 acquires the position information of the host vehicle and the current time information from the vehicle position detection device 114 as probe data. Moreover, the vehicle-mounted control apparatus 140 acquires the vehicle speed information of the own vehicle including the speed and acceleration of the own vehicle from the vehicle speed sensor 115 as probe data.

  Further, the in-vehicle control device 140 acquires information on driving operation by the driver as probe data from the driving operation detection device 116 by the probe data acquisition function. For example, the on-vehicle control device 140 acquires information on the operation of the steering wheel from the steering angle sensor, information on the amount of depression from the accelerator sensor to the accelerator pedal, and information on the amount of depression on the brake pedal from the brake sensor. Average value of steering angle, average value of steering speed, average value of steering acceleration (hereinafter referred to as average steering operation information), average value of depression amount of the accelerator pedal in a fixed period (hereinafter referred to as average accelerator operation information), The average value (hereinafter referred to as average brake operation information) of the depression amount to the brake pedal in a fixed period is acquired as probe data.

  Further, the on-vehicle control device 140 acquires positional information of surrounding vehicles from the distance measuring device 113 for a predetermined period, and acquires the speed of the own vehicle from the vehicle speed sensor 115 by the probe data acquiring function. Then, the on-vehicle control device 140 calculates the speed of the surrounding vehicle relative to the speed of the own vehicle based on the acquired information, and information on the speed of the surrounding vehicle (hereinafter referred to as the vehicle speed information of the surrounding vehicle) is a probe. It will be data. The in-vehicle control device 140 may calculate the acceleration of the surrounding vehicle from the position information of the surrounding vehicle and the acceleration of the own vehicle, and may include the acceleration of the surrounding vehicle in the speed information of the surrounding vehicle.

  Furthermore, the in-vehicle control device 140 acquires operation information of each operating device group from the operating device group 120 as probe data by the probe data acquisition function. For example, the on-vehicle controller 140 acquires, from the turn signal switch, the use status of the turn indicator and the hazard switch from the hazard switch as the use status of the hazard as probe data.

  Then, the in-vehicle control device 140 temporarily accumulates the probe data acquired from the sensor group 110 and the operation device group 120 in the RAM of the in-vehicle control device 140 by the probe data acquisition function.

  The in-vehicle control device 140 uses the probe data transmission function to acquire the probe data acquired by the probe data acquisition function and temporarily stored in the RAM of the in-vehicle control device 140 via the in-vehicle communication device 130. Send to For example, in the present embodiment, the in-vehicle control device 140 is stored in the RAM of the in-vehicle control device 140 by the probe data transmission function each time a predetermined time has elapsed or each time the vehicle travels a predetermined distance. The probe data is transmitted to the information processing apparatus 200. In the present embodiment, the in-vehicle control device 140 will be described as transmitting probe data to the information processing device 200 every time a predetermined time elapses.

  Further, in the present embodiment, the vehicle type information of the vehicle in which the in-vehicle device 100 is mounted and the ID information of the vehicle are stored in advance in the RAM of the in-vehicle control device 140. The in-vehicle control device 140 acquires vehicle type information of the own vehicle and ID information of the vehicle from the RAM of the in-vehicle control device 140, and transmits the information as probe data to the information processing device 200.

  The vehicle-mounted control device 140 receives the vehicle information requiring attention from the information processing device 200 via the vehicle-mounted communication device 130 by the information presentation function, and presents the received vehicle information requiring attention to the driver via the presentation device 150. Do. Although details will be described later, the vehicle information requiring attention is information for alerting the driver to the surrounding vehicle. For example, when the driver of a forward vehicle has a tendency of a driving operation (hereinafter referred to as a sudden deceleration operation) to rapidly decelerate the vehicle, if the driver needs to be informed about the vehicle ahead, the driver It is possible to drive while keeping a distance from the vehicle ahead.

  The presentation device 150 is a device that presents the critical vehicle information input from the on-vehicle control device 140 to the driver. The presentation device 150 may visually present the caution vehicle information to the driver, such as screen display, or may provide the caution vehicle information to the driver by voice. As presentation device 150, a display, a speaker, etc. which were provided in the room of vehicles, for example are mentioned.

  Next, an information processing apparatus 200 according to the present embodiment will be described. As shown in FIG. 1, the information processing device 200 includes a communication device 210, a control device 220, and a database 230.

  The communication device 210 is a device capable of communicating with the in-vehicle communication device 130 of the in-vehicle device 100 via a telephone network or the like. The communication device 210 receives a plurality of probe data from a plurality of in-vehicle devices 100 mounted on each of a plurality of vehicles, outputs the received plurality of probe data to the control device 220, and receives information acquired from the control device 220. It transmits to the in-vehicle device 100.

  The database 230 stores a plurality of probe data acquired from a plurality of vehicles. Such probe data includes information about captured images around the host vehicle, information about the host vehicle, and information about the surrounding vehicle. Specifically, the information related to the own vehicle includes the position, date and time of the own vehicle when the probe data is acquired, vehicle type information of the own vehicle, vehicle speed information of the own vehicle, average steering operation information of the own vehicle, The average accelerator operation information and the average brake operation information of the host vehicle are included. In addition, the information related to the surrounding vehicle includes appearance information of the surrounding vehicle when the probe data is acquired, position information of the surrounding vehicle, distance information of the surrounding vehicle, and vehicle speed information of the surrounding vehicle.

  The database 230 also stores vehicle type information, map information, and road information. The car type information includes the type of vehicle (for example, large car, ordinary car, small car, etc.), the type of manufacturer, vehicle dimensions (for example, full length, full width, height, tread width, vehicle weight, total vehicle weight, etc.) Information on engine displacement etc. is included. In addition, the road information includes the type of road (for example, whether the road is a general road, an automobile road, a bridge, or a tunnel), and information on positions such as intersections, stop lines, traffic lights, and road signs. .

  The control device 220 functions as a ROM storing a program for providing the vehicle information 100 requiring attention vehicle information, a CPU functioning as an operation circuit for executing the program stored in the ROM, and an accessible storage device. And a RAM to The control device 220 executes the program stored in the ROM by the CPU, thereby storing the probe data received from the in-vehicle device 100 in the database 230, and the vehicle of the vehicle requiring caution based on the probe data. A probe data analysis function for calculating an attribute and calculating an emergency action induction level corresponding to the vehicle attribute of the vehicle requiring attention, and an information providing function for providing vehicle information requiring attention are provided. Below, each function with which control device 220 is provided is explained.

  The control device 220 stores the probe data received from the in-vehicle apparatus 100 in the database 230 by the probe data storage function. At this time, the control device 220 assigns numbers to the plurality of probe data without omissions in order to facilitate identification of the probe data. Thereby, the control device 220 can not only handle a plurality of probe data received from a plurality of vehicles as different probe data, but also different probe data for a plurality of probe data received from a vehicle during a predetermined period. It can be treated as

  In addition, when a part of information included in the probe data is missing, the control device 220 assigns a flag (for example, “None”) indicating that no information exists for the missing information. As a result, even if the probe data is a part of the information that is missing, the control device 220 can analyze all the probe data stored in the database 230 by the probe data analysis function described later. it can. Examples of a part of the information included in the probe data being missing include a case where a part or all of the sensor group 110 is malfunctioning due to some cause, a case where a device with an old model number is included in the sensor group 110, a surrounding vehicle Is not within the detection range of the sensor group 110.

  The control device 220 extracts the vehicle requiring attention based on a plurality of probe data stored in the database 230 by the probe data analysis function, calculates the vehicle attribute of the vehicle requiring attention, and corresponds to the attribute of the vehicle requiring attention. Calculate the emergency action induction level. In the present embodiment, the vehicle requiring attention is another vehicle that tends to induce an emergency operation of the host vehicle. A driver of a vehicle requiring attention tends to have a driving operation so that a passenger of the vehicle needs to pay attention to the traveling. The emergency operation will be described later.

  The control device 220 executes a caution vehicle extraction process, a vehicle attribute calculation process, and an emergency action induction level calculation process by the probe data analysis function.

  First, the caution vehicle extraction processing will be described. The controller 220 acquires a plurality of probe data accumulated in the database 230. And control device 220 extracts probe data of vehicles in which emergency operation was performed out of a plurality of probe data based on information about self-vehicles contained in probe data.

  In the present embodiment, the emergency operation refers to the entire operation of the host vehicle that is performed urgently due to the traveling of surrounding vehicles. When the vehicle travels by the driver's driving operation, the emergency operation occurs due to the driving operation contrary to the driver's intention. Examples of the driving operation contrary to the driver's intention include the above-described rapid deceleration operation and a steering operation performed by the driver at a rapid acceleration (hereinafter referred to as a sudden steering operation). For example, it is assumed that the host vehicle travels in one lane of a two-lane road and the other vehicle travels in the other lane. In this situation, when the other vehicle changes lanes in order to interrupt the front of the host vehicle, the driver of the host vehicle performs a sudden deceleration operation and / or a quick steering operation to avoid contact with the other vehicle. , Emergency operation of the vehicle occurs.

  The control device 220 selects one of a plurality of probe data based on the vehicle speed information of the host vehicle, the average steering operation information of the host vehicle, the average accelerator operation information of the host vehicle, and the average brake operation information of the host vehicle included in the probe data. , Extract probe data of the vehicle on which the emergency operation has been performed. For example, the control device 220 sets probe data including average brake operation information in which the amount of depression of the brake pedal exceeds a predetermined amount of depression as probe data acquired from a vehicle on which an emergency operation has been performed by a rapid deceleration operation. Note that the predetermined depression amount is a value obtained experimentally.

  Next, based on the probe data of the vehicle on which the emergency operation has been performed, the control device 220 extracts nearby vehicles having a close relationship with the emergency operation as the vehicles requiring attention. The cautioned vehicle is a surrounding vehicle presumed to be the cause of the emergency operation of the own vehicle. For example, the control device 220 detects the surrounding vehicles that existed when the emergency operation was performed based on the appearance information of the surrounding vehicles included in the probe data or the captured images around the host vehicle, and the detected surrounding vehicles Determine the relationship with the emergency action.

  Hereinafter, a method of identifying a vehicle requiring attention in more detail will be described. For convenience of explanation, the case where a plurality of surrounding vehicles exist when the emergency operation is performed will be described. First, when appearance information of a plurality of different surrounding vehicles is present, control device 220 detects a plurality of surrounding vehicles that were present when the emergency operation was performed. In addition, the control device 220 may detect a plurality of surrounding vehicles by performing image processing on a captured image around the own vehicle. Next, the control device 220 determines the relationship with the emergency action for each surrounding vehicle and identifies the vehicle requiring attention.

  For example, the control device 220 estimates the travel trajectory of the surrounding vehicle until the host vehicle performs an emergency operation from the position information and distance information of the surrounding vehicle. The control device 220 rearranges a plurality of probe data acquired from the same in-vehicle device 100 in chronological order, and from the temporal change of the position of the peripheral vehicle and the temporal change of the distance of the peripheral vehicle, presume. Moreover, the control apparatus 220 specifies the timing when the emergency operation | movement of the own vehicle was performed. Then, the control device 220 determines the relationship with the emergency operation of the own vehicle from the estimated traveling locus of the surrounding vehicle. The control device 220 determines that the relationship between the corresponding peripheral vehicle and the emergency operation is high if, for example, the traveling locus of the peripheral vehicle is a locus that repeats a lane change. In addition, for example, when the traveling locus of the surrounding vehicle is a locus that enters the traveling lane of the host vehicle from the adjacent lane, the control device 220 determines that the relationship between the corresponding surrounding vehicle and the emergency operation is high.

  Then, the control device 220 identifies a peripheral vehicle closely related to the emergency action as a vehicle requiring attention among a plurality of peripheral vehicles. Using the above-described example, when the traveling locus of the surrounding vehicle is a locus entering the traveling lane of the own vehicle from the adjacent lane, the control device 220 performs an emergency operation of the own vehicle by the interruption driving operation performed by the driver of the surrounding vehicle. And the relevant surrounding vehicle is identified as a vehicle requiring attention.

  In addition, the control device 220 may estimate that the emergency operation of the host vehicle has been performed by another driving operation by the driver of the surrounding vehicle, and may identify the corresponding surrounding vehicle as a vehicle requiring attention. For example, the control device 220 estimates that the emergency operation of the host vehicle has been performed by the sudden steering operation performed by the driver of the surrounding vehicle from the traveling locus of the surrounding vehicle, and identifies the corresponding surrounding vehicle as the vehicle requiring attention. It is also good. In addition, for example, the control device 220 performs an emergency operation of the host vehicle by a driving operation in which the driver of the surrounding vehicle changes the lane without turning on the direction indicator from the travel locus of the surrounding vehicle and the appearance information of the surrounding vehicle. You may presume that it was performed, and you may identify the corresponding surrounding vehicle as a vehicle requiring attention.

  It should be noted that, in identifying a vehicle requiring attention, it is not necessary to estimate the traveling locus of the surrounding vehicle. For example, the control device 220 obtains the speed of the surrounding vehicle until the emergency operation is performed from the probe data sorted in chronological order, and the relationship with the emergency operation of the own vehicle from the transition of the speed of the surrounding vehicle It may be determined to identify a vehicle requiring attention. For example, when the speed of a surrounding vehicle that was traveling in front of the host vehicle suddenly changes from a predetermined speed to zero immediately before the emergency operation of the host vehicle is performed, the control device 220 is performed by the driver of the surrounding vehicle. It may be estimated that an emergency operation of the host vehicle has been performed by the sudden deceleration operation, and the corresponding surrounding vehicle may be identified as a vehicle requiring attention.

  In addition, the control device 220 is configured so that even if the speed of the surrounding vehicle does not suddenly change from the predetermined speed to zero, the control device 220 can travel around the front of the host vehicle based on the color of the traffic light for the vehicle or the sign on the road surface. The vehicle may be identified as a caution vehicle. For example, it is assumed that the control device 220 detects that the vehicle traffic signal is red immediately before the emergency operation of the host vehicle is performed. In this case, the control device 220 may estimate that the emergency operation of the host vehicle has been performed by a signal-ignoring driving operation performed by a driver of the surrounding vehicle, and may specify the corresponding surrounding vehicle as a vehicle requiring attention. Further, for example, it is assumed that the control device 220 detects that there is a two-dimensional sign indicating a temporary stop on the road surface ahead of the host vehicle immediately before the emergency operation is performed. In this case, the control device 220 may presume that an emergency operation of the host vehicle has been performed by a driving operation in violation of the temporary stop performed by the driver of the surrounding vehicle, and may specify the corresponding surrounding vehicle as a vehicle requiring attention.

  Next, vehicle attribute calculation processing will be described. In the present embodiment, the control device 220 calculates the vehicle attribute of the vehicle requiring attention using the probe data analysis function, but the target range of the vehicle attribute calculation process is not limited to the vehicle requiring attention. The control device 220 can calculate vehicle attributes for vehicles other than those requiring attention. The control device 220 calculates vehicle attributes for the target vehicle by an information providing function described later. The vehicle attributes and the target vehicle will be described later.

  The control device 220 calculates the vehicle attribute of the caution vehicle from the information (for example, the appearance information of the surrounding vehicle, the vehicle speed information of the surrounding vehicle, etc.) of the surrounding vehicle included in the probe data. The vehicle attributes will be described. The vehicle attribute indicates the characteristics of each vehicle classified under a predetermined condition. In the present embodiment, the vehicle attribute is roughly divided into vehicle appearance information and driving operation information. The operation information includes a plurality of pieces of information.

  The appearance information of the vehicle is a feature of the vehicle itself, and the appearance information of the vehicle includes the shape of the vehicle, the type of vehicle, the body color, and the number plate. The vehicle type includes not only the type of vehicle (for example, a large car, an ordinary car, a small car, etc.) but also the type of maker that indicates the maker of the vehicle. Further, in the case of a vehicle in which a so-called remodeling has been performed, in which the exterior of the vehicle is remodeled from the point of purchase, the shape of the vehicle includes a remodeling portion. Further, in the case of a vehicle in which a part of the exterior is damaged, the shape of the vehicle includes the damaged portion.

  The driving operation information is a feature of the driving operation performed by the driver, and in the driving operation information, the steering operation tendency indicating the tendency of the steering operation performed by the driver, the accelerator operation tendency indicating the tendency of the accelerator operation performed by the driver, the driver A brake operation tendency indicating the tendency of the brake operation to be performed, a direction indicator operation tendency to indicate the operation tendency of the direction indicator to be performed by the driver, and a hazard operation tendency indicating the tendency of hazard operation to be performed by the driver are included.

  The control device 220 executes a vehicle attribute calculation process on probe data of the vehicle on which the emergency operation has been performed.

  The control device 220 identifies the shape, vehicle type, body color, and license plate of the vehicle requiring attention from the appearance information of the surrounding vehicles corresponding to the vehicle requiring attention, and sets the identified information as the vehicle attributes of the vehicle requiring attention. The control device 220 may execute image processing on the captured image of the periphery of the vehicle to specify each piece of information on the appearance of the caution vehicle among the attributes of the caution vehicle.

  Further, the control device 220 estimates the tendency of the driving operation performed by the driver of the vehicle requiring attention based on the position information, distance information, and vehicle speed information of the vehicle requiring attention included in the probe data. For example, the control device 220 estimates the steering operation tendency of the caution vehicle by estimating a traveling locus of the caution vehicle. Further, for example, the control device 220 estimates the accelerator operation tendency and the brake operation tendency of the caution vehicle from the acceleration of the caution vehicle relative to the acceleration of the host vehicle. Furthermore, for example, the control device 220 estimates the direction indicator operation tendency of the caution vehicle and the hazard operation tendency by considering the captured image of the periphery of the host vehicle. The control device 220 sets the tendency of various driving operations of the driver of the caution required vehicle as the vehicle attribute of the caution required vehicle. In addition, the control apparatus 220 allocates the flag which shows that information does not exist about the driving operation which can not be estimated.

  Moreover, the control apparatus 220 calculates the vehicle attribute of the own vehicle from the information regarding the own vehicle. For example, the control device 220 acquires the appearance information of the host vehicle from the vehicle ID information stored in the RAM, and sets it as the vehicle attribute of the host vehicle. Further, the control device 220 estimates the steering operation tendency, the accelerator operation tendency, and the brake operation tendency from the average steering operation information, the average accelerator operation information, and the average brake operation information of the own vehicle. The control device 220 sets the estimated tendency of the driving operation performed by the driver of the host vehicle as the vehicle attribute of the host vehicle.

  Next, emergency operation induction level calculation processing will be described. Control device 220 calculates the frequency at which the emergency operation of the host vehicle occurs as an emergency operation induction level. In the present embodiment, the control device 220 calculates the emergency operation induction level for each vehicle attribute. For example, the control device 220 counts the number of probe data from which a vehicle requiring attention is extracted for a plurality of probe data stored in the database 230, and distributes the data for each attribute of the vehicle requiring attention. Then, the control device 220 calculates an emergency operation induction level for each vehicle attribute of the cautioned vehicle based on the counting result.

  FIG. 2 is a diagram illustrating an example of an emergency action induction level for vehicle attributes. In FIG. 2, the horizontal axis indicates the vehicle attribute, and the vertical axis indicates the emergency operation induction level. In FIG. 2, the vehicle attribute A indicates a vehicle attribute of “manufacturer: XX, vehicle type: large vehicle, body color: white, steering operation tendency: level 5, brake operation tendency: level 5,. ing. The vehicle attribute B indicates a vehicle attribute of “manufacturer: ΔΔ, vehicle type: ordinary vehicle, body color: white, steering operation tendency: level 3, brake operation tendency: level 3,... Furthermore, the emergency operation induction level of the vehicle attribute A indicates that it is higher than the emergency induction level of the vehicle attribute B, and the probability that the vehicle of the vehicle attribute A induces an emergency operation than the vehicle of the vehicle attribute B Indicates that is high. In addition, although the display classified by the level of five steps is performed about the tendency of driving operation for convenience of explanation, the display method is not specifically limited. For example, it may be displayed in "%" units. In the present embodiment, it is indicated that the higher the level is, the more the tendency of the rapid steering operation and the rapid deceleration operation.

  In the above description, regardless of the type of driving operation performed by the driver of the caution vehicle (for example, sudden deceleration operation, sudden steering operation, etc.), the example has been described using an example of handling as one caution vehicle. It is not restricted to this. The control device 220 may further group the vehicles requiring attention by driving operation type and calculate the emergency operation induction level for each vehicle attribute in each group. For example, the control device 220 may be a caution vehicle by an interruption driving operation, a caution vehicle by a sudden steering operation, a caution vehicle by a rapid deceleration operation, a caution vehicle by a signal disregard driving operation, a caution operation by a temporary stop violation driving operation Like a vehicle, it may be grouped according to the type of driving operation, and the emergency action induction level may be calculated for each vehicle attribute in each group.

  The control device 220 stores the execution results of the caution vehicle extraction processing, the vehicle attribute calculation processing, and the emergency operation induction level calculation processing in the database 230. Specifically, the control device 220 stores in the database 230 the emergency operation induction level corresponding to the vehicle attribute of the caution vehicle and the vehicle attribute of the caution vehicle. In addition, the control device 220 acquires a plurality of probe data stored in the database 230 at regular intervals, extracts a vehicle requiring attention, calculates a vehicle attribute of the vehicle requiring attention, and sets a vehicle attribute for each vehicle requiring attention. By executing the process of calculating the emergency operation induction level, it is possible to sequentially update the information on the vehicle requiring attention stored in the database 230. In the database 230, critical vehicle information is stored for each vehicle attribute of the critical vehicle.

  The control device 220 provides the on-vehicle apparatus 100 with the caution vehicle information by the information providing function. Specifically, the control device 220 refers to a surrounding vehicle (hereinafter referred to as a target surrounding vehicle) existing around the target vehicle based on probe data of a vehicle providing the caution vehicle information (hereinafter referred to as a target vehicle). When it is determined that the vehicle attribute of) corresponds to the vehicle attribute of the caution vehicle, the information on the caution vehicle is transmitted to the in-vehicle apparatus 100 of the target vehicle.

  First, the control device 220 acquires probe data of the target vehicle from the in-vehicle device 100 of the target vehicle. Then, the control device 220 calculates the vehicle attribute of the target peripheral vehicle based on the information about the peripheral vehicle included in the probe data of the target vehicle. The control device 220 calculates the vehicle attribute of the target surrounding vehicle by executing the above-described vehicle attribute calculation process.

  When calculating the vehicle attribute of the target peripheral vehicle, the control device 220 refers to the information on the vehicle requiring attention in the database 230 and compares the vehicle attribute of the target peripheral vehicle with the vehicle attribute of the vehicle requiring attention. The database 230 stores caution information for each vehicle attribute of the vehicle requiring attention, and the control device 220 determines whether the vehicle attribute of the target peripheral vehicle matches or does not match for each vehicle attribute of the vehicle requiring attention. . When the vehicle attribute of the target vehicle matches the vehicle attribute of the cautionary vehicle, the control device 220 determines that there is a cautionary vehicle corresponding to the vehicle attribute of the target peripheral vehicle, and identifies the target peripheral vehicle as the cautionary vehicle. .

  Specifically, control device 220 compares the target surrounding vehicle and the caution vehicle with respect to the appearance and the driving operation of the vehicle constituting the vehicle attribute. For example, the control device 220 compares the shape of the target surrounding vehicle with the shape of the caution vehicle, and compares the vehicle type of the target surrounding vehicle with the vehicle type of the caution vehicle. Further, for example, the control device 220 compares the steering operation tendency of the target surrounding vehicle and the steering operation tendency of the caution vehicle, and compares the brake operation tendency of the targeting surrounding vehicle and the brake operation tendency of the caution vehicle.

  And the control apparatus 220 acquires the information of the applicable caution vehicle from the database 230, when the caution vehicle applicable to the vehicle attribute of an object surrounding vehicle exists. The information on the vehicle requiring attention includes the vehicle attribute of the vehicle requiring attention that matches the vehicle attribute of the target surrounding vehicle, and the emergency action induction level corresponding to the vehicle attribute requiring attention.

  When acquiring the caution vehicle information from the database 230, the control device 220 transmits the caution vehicle information to the in-vehicle device 100 of the target vehicle. Note that the control device 220 may be configured not to transmit the caution vehicle information to the in-vehicle device 100 of the target vehicle when the emergency action induction level is lower than a predetermined level by the information providing function. it can. In addition, when a plurality of surrounding vehicles exist, control device 220 calculates a vehicle attribute for each target surrounding vehicle and determines whether or not a caution requiring vehicle corresponding to the vehicle attribute of the target surrounding vehicle exists. Do.

  Next, the operation of the information provision system according to the present embodiment will be described with reference to FIGS. FIG. 3 is a flowchart showing probe data analysis according to this embodiment, and FIG. 4 is a flowchart showing information providing processing according to this embodiment.

  A probe data analysis process for analyzing the probe data received from the vehicle-mounted device 100 in the control device 220 of the information processing device 200 will be described with reference to FIG. Note that the probe data analysis processing shown in FIG. 3 is repeatedly performed at regular time intervals according to the control device 220 of the information processing device 200.

  In step S101, the control device 220 receives the plurality of probe data transmitted from the plurality of in-vehicle devices 100 by the probe data analysis function, and stores the received probe data in the database 230. Further, when part of the information included in the probe data is missing, the control device 220 assigns a flag indicating that the information is not present for the missing information. The process of step S101 is sequentially executed each time probe data is transmitted from the in-vehicle apparatus 100.

  In step S102, the control device 220 determines whether or not a certain period has elapsed since the probe data was accumulated by the probe data analysis function. The accumulation of the probe data in step S101 is repeated until the fixed period has elapsed, and when the fixed period has elapsed, the process proceeds to step S103.

  In step S103, the control device 220 extracts the probe data of the vehicle on which the emergency operation has been performed, from the plurality of probe data stored in the database 230 by the probe data analysis function. For example, the control device 220 identifies the probe data including the average brake operation information in which the depression amount of the brake pedal exceeds a predetermined depression amount as the probe data of the vehicle on which the emergency operation has been performed.

  In step S104, the control device 220 uses the probe data analysis function to determine the vicinity of the vehicle having the close relationship with the emergency operation from the surrounding vehicles based on the probe data of the vehicle on which the emergency operation is extracted in step S103. Extract the vehicle as a vehicle requiring attention. For example, the control device 220 detects a plurality of surrounding vehicles from the captured image of the surroundings of the own vehicle included in the probe data, and determines the relationship with the emergency operation for each surrounding vehicle. As an example of a method for determining the relationship with the emergency action, there is a method for estimating a travel locus of a surrounding vehicle. For example, the control device 220 estimates the travel locus of the surrounding vehicle from the position information and distance information of the surrounding vehicle included in the probe data. Then, the control device 220 estimates that the emergency operation of the host vehicle has been performed, for example, by the sudden steering operation performed by the driver of the surrounding vehicle from the estimated traveling locus of the vehicle, and sets the corresponding surrounding vehicle as a vehicle requiring attention. Identify. When the control device 220 extracts a plurality of probe data of the vehicle on which the emergency operation has been performed in step S103, the control device 220 identifies a vehicle requiring attention for each of the probe data.

  In step S105, the control device 220 uses the probe data analysis function to calculate a vehicle attribute including the appearance information of the vehicle and the driving operation information for the cautioned vehicle extracted in step S104. The control device 220 identifies the shape, vehicle type, body color, and license plate of the caution vehicle from the appearance information of the surrounding vehicles corresponding to the caution vehicle extracted in step S104, and identifies various information items of the caution vehicle Be an attribute. Further, the control device 220 estimates the tendency of the driving operation performed by the driver of the caution vehicle based on position information, distance information, and vehicle speed information of the caution vehicle included in the probe data. For example, the control device 220 estimates the brake operation tendency of the driver of the vehicle requiring attention from the speed information of the vehicle requiring attention. Similarly, the control device 220 estimates the tendency of the accelerator operation performed by the driver of the vehicle requiring attention, the tendency of the operation of the direction indicator, and the tendency of the hazard operation, and the tendency of various driving operations of the estimated driver of the vehicle required attention. Is the vehicle attribute of the cautioned vehicle.

  In step S106, the control device 220 calculates an emergency operation induction level corresponding to the attribute of the caution vehicle by the probe data analysis function. In the present embodiment, the control device 220 calculates the emergency action induction level for each vehicle attribute of the vehicle requiring attention calculated in step S105, but includes the vehicle attributes of vehicles other than the vehicle requiring attention for each vehicle attribute. The emergency action induction level may be calculated.

  In step S107, the control device 220 uses the probe data analysis function to calculate the emergency action induction level corresponding to the vehicle attribute of the caution vehicle and the caution attribute of the caution vehicle calculated in step S105 and step S106. It stores in the database 230 as information. The vehicle attributes of the vehicle requiring attention include vehicle shape, vehicle type, body color, license plate, steering operation tendency, accelerator operation tendency, brake operation tendency, direction indicator operation tendency, and hazard operation tendency. The database 230 stores caution vehicle information for each vehicle attribute of the caution vehicle.

  Next, with reference to FIG. 4, an information providing process for providing the driver of the vehicle-at-risk information will be described. In the information provision process shown in FIG. 4, steps S201 to S206 are executed by the information processing apparatus 200, and steps S207 and S208 are executed by the on-vehicle apparatus 100. Further, in the example shown in FIG. 4, a vehicle provided with the caution operation information is described as a target vehicle.

  In step S201, the control device 220 of the information processing device 200 receives the target vehicle probe data transmitted from the in-vehicle device 100 of the target vehicle by the information providing function.

  In step S202, the control device 220 calculates the vehicle attribute of the target surrounding vehicle based on the information related to the surrounding vehicle included in the probe data of the target vehicle received in step S201 by the information providing function.

  In step S203, the control device 220 compares the vehicle attribute of the target peripheral vehicle calculated in step S202 with the vehicle attribute of the vehicle requiring attention stored in the database 230 by the information providing function. The database 230 stores a vehicle requiring attention for each vehicle attribute of the vehicle requiring attention, and the control device 220 determines whether the vehicle attribute of the target surrounding vehicle matches or does not match for each vehicle attribute of the vehicle requiring attention. .

  In step S204, the control device 220 determines whether or not there is a vehicle requiring attention corresponding to the vehicle attribute of the target surrounding vehicle by the information providing function. The control device 220 determines that there is a cautionary vehicle corresponding to the vehicle attribute of the target surrounding vehicle when there is a vehicle attribute of the cautionary vehicle matching the vehicle attribute of the target surrounding vehicle. On the contrary, when there is no vehicle attribute of the caution vehicle matching the vehicle attribute of the target surrounding vehicle, the control device 220 determines that there is no caution vehicle corresponding to the vehicle attribute of the target surrounding vehicle. If the cautioned vehicle corresponding to the vehicle attribute of the target surrounding vehicle is present, the process proceeds to step S205, and if there is no attention required vehicle corresponding to the vehicle attribute of the target nearby vehicle, the process returns to step S201.

  In step S205, the control device 220 specifies the target surrounding vehicle as the cautioned vehicle by the information providing function. Note that the specified caution vehicle is a caution vehicle that matches the vehicle attribute of the target surrounding vehicle in the determination in step S204.

  In step S206, the control device 220 transmits the information on the vehicle requiring attention identified in step 205 to the in-vehicle device 100 of the target vehicle by the information providing function. The caution information includes a vehicle attribute and an emergency operation induction level.

  Steps S207 and S208 are executed by the on-vehicle apparatus 100 of the target vehicle. First, in step S207, the vehicle-mounted control device 140 receives caution vehicle information transmitted from the information processing device 200 by the information presentation function.

  In step S208, the on-vehicle control device 140 presents the driver requiring caution vehicle information to the driver by the information presenting function.

  As described above, when the surrounding vehicle is specified as the vehicle requiring attention based on the vehicle attributes of the surrounding vehicle, the driver is presented with the vehicle information requiring attention about the surrounding vehicle. Thus, the driver can drive, for example, to make a distance from the nearby vehicle identified as the caution vehicle, before the nearby vehicle is rapidly decelerated or interrupted. As a result, even if the surrounding vehicle suddenly cuts in between the host vehicle and the preceding vehicle, it is possible to prevent the driver from causing the rapid deceleration operation or the rapid steering operation.

  Next, with reference to FIGS. 5 and 6, a driving operation that can be performed by the driver presented with the vehicle information requiring attention will be described. FIG. 5 is an example of the driving operation performed by the driver who does not present the caution vehicle information. FIG. 6 is an example of the driving operation performed by the driver for which the caution vehicle information is presented. A vehicle V3 shown in FIGS. 5A, 5B, and 6A, 6B is a vehicle that travels obliquely in front of the vehicle V1 and tends to repeat lane changes. The lane A is a lane in which the vehicles V1 and V2 travel, and the lane B is an adjacent lane of the lane A in which the vehicle V3 travels. FIG. 5B shows a scene where a predetermined time has elapsed from the scene of FIG. 5A, and FIG. 6B shows a scene where a predetermined time has elapsed from the scene of FIG. 6B. There is.

  A vehicle V1 shown in FIGS. 5A and 5B is a vehicle according to a comparative example that does not include the in-vehicle device 100, and no cautionary vehicle information about the vehicle V3 is presented to the driver of the vehicle V1. The driver of the vehicle V1 performs the operation of following the vehicle V2 while maintaining the inter-vehicle distance with the vehicle V2 at a distance L1 (a distance of about one vehicle). In this scene, when the driver of the vehicle V3 performs a lane change driving operation to interrupt between the vehicle V1 and the vehicle V2, as shown in FIG. 5 (B), the vehicle V3 enters in front of the vehicle V1. . Since the inter-vehicle distance between the vehicle V1 and the vehicle V2 is about one vehicle, the vehicle V1 and the vehicle V3 approach each other. The driver of the vehicle V1 needs to perform a rapid deceleration operation to avoid contact with the vehicle V3.

A vehicle V1 ^′ illustrated in FIGS. 6A and 6B is a vehicle (target vehicle) according to the present embodiment including the on-vehicle device 100. The on-vehicle apparatus 100 of the vehicle V1 ^' transmits the appearance information and the like of the vehicles V2 and V3 detected by the sensor group 110 as probe data to the information processing apparatus 200, and the information processing apparatus 200 requires caution vehicle information on the vehicle V3. (The vehicle attribute of the vehicle requiring caution and the emergency operation induction level) are received and presented to the driver. The driver of the vehicle V1 ^' recognizes that the vehicle V3 is a vehicle requiring attention, and as shown in FIG. 6A, the distance between the vehicle V2 and the vehicle V2 is set to a distance L2 (> L1). While maintaining, the vehicle V2 is being driven. In this scene, when the driver of the vehicle V3 performs an interrupt operation, the vehicle V3 enters the front of the vehicle V1, as shown in FIG. 6B. However, the vehicle V1 ^' travels in advance at a distance of one or more vehicles from the vehicle V2 and does not approach the vehicle V3. For this reason, the driver of the vehicle V1 ^′ can perform an operation with a sufficient margin without performing the rapid deceleration operation even if the vehicle V3 has interrupted forward.

  As described above, in the present embodiment, the information processing apparatus 200 collects a plurality of probe data including information related to the running state of the vehicle and image information around the vehicle from the plurality of vehicles, and based on the plurality of probe data. To extract probe data of the vehicle on which the emergency operation has been performed. Then, the information processing apparatus 200 extracts peripheral vehicles closely related to the emergency operation from among the peripheral vehicles existing around the vehicle when the emergency operation is performed, and requires the attention vehicle. The vehicle attribute of the vehicle requiring attention indicating the characteristics of is identified. Thus, by comparing the vehicle attribute of the surrounding vehicle and the vehicle attribute of the caution vehicle, it can be specified in a short time that the surrounding vehicle corresponds to the caution vehicle.

  Further, in the present embodiment, the information processing device 200 calculates the emergency operation induction level for each attribute of the caution vehicle. Thereby, the information processing apparatus 200 can execute an appropriate process according to the emergency action induction level for each attribute of the vehicle requiring attention.

  Furthermore, in the present embodiment, the information processing apparatus 200 acquires, from the target vehicle, probe data including information on the target peripheral vehicle traveling around the target vehicle, and based on the information on the target peripheral vehicle, a vehicle of the target peripheral vehicle Identify the attribute. Then, the information processing apparatus 200 compares the vehicle attribute of the caution vehicle and the vehicle attribute of the target surrounding vehicle, and corresponds to the attribute of the target surrounding vehicle when the attribute of the target surrounding vehicle corresponds to the attribute of the caution vehicle. Outputs information on vehicles requiring attention. Thereby, when the vehicle attribute of the target surrounding vehicle corresponds to the vehicle attribute of the vehicle requiring attention, the vehicle requiring attention information can be presented to the driver, and the driver can be made to warn or warn the object surrounding vehicle. . As a result, the driver can be made to perform an appropriate driving operation such as leaving the target surrounding vehicle.

  Also, in the present embodiment, the probe data includes the position of the surrounding vehicle relative to the position of the vehicle, the speed of the surrounding vehicle relative to the speed of the vehicle, and the appearance of the surrounding vehicle. The information processing apparatus 200 extracts the vehicle requiring attention based on the information included in the probe data. Thus, not only the appearances of the surrounding vehicles but also the behaviors of the surrounding vehicles can be used to extract the vehicles requiring caution with high accuracy.

  Furthermore, in the present embodiment, the probe data includes at least one of the vehicle type, color, license plate, and exterior of the surrounding vehicle, and the information processing apparatus 200 needs the information based on the information included in the probe data. Among the attributes of the caution vehicle, the attribute regarding the appearance of the caution vehicle is specified. Thereby, the feature of the external appearance of the vehicle requiring attention can be grasped, and it can be easily identified from the external appearance of the surrounding vehicle that the surrounding vehicle corresponds to the vehicle requiring attention.

  In the present embodiment, the information processing apparatus 200 estimates the driving operation performed by the driver of the surrounding vehicle based on the detection result of the sensor group 110 included in the probe data. Then, based on the driving operation performed by the driver of the surrounding vehicle, the information processing apparatus 200 specifies an attribute related to the driving operation performed by the driver of the caution vehicle among the vehicle attributes of the caution vehicle. Thereby, the driving characteristic of the driver of the caution vehicle can be grasped, and from the driving characteristic of the driver of the surrounding vehicle, it can be specified with high accuracy that the surrounding vehicle corresponds to the caution vehicle.

  Furthermore, in the present embodiment, the information processing apparatus 200 estimates a brake operation, a steering operation, a direction indicator operation, and a hazard operation performed by a driver of a surrounding vehicle, and based on these operations, a vehicle requiring attention. Among the vehicle attributes of the above, the attribute related to the driving operation performed by the driver of the vehicle requiring caution is specified. Thereby, the driving characteristic of the driver of the caution vehicle can be grasped in detail, and it can be specified with high accuracy that the surrounding vehicle corresponds to the caution vehicle based on the driving characteristics of the drivers of the surrounding vehicles.

  Further, in the present embodiment, the information processing apparatus 200 causes the driver's operation of the surrounding vehicle to perform the rapid deceleration operation of the vehicle, the rapid steering operation of the vehicle, and the direction based on the detection result of the sensor group 110 included in the probe data. When a driving operation that includes at least one of a driving operation that changes lanes while the indicator is not lit, a driving operation that ignores the signal, or a driving operation that violates the suspension, the surrounding vehicle is extracted as a vehicle requiring attention. . Thereby, the caution vehicle can be classified according to the driving characteristic of the driver, and as a result, it is possible to execute an appropriate process according to the driver characteristic of the caution vehicle driver. For example, it is possible to present the driver with caution vehicle information according to the driving characteristic of the driver of the caution vehicle.

  The embodiment described above is described for facilitating the understanding of the present invention, and is not described for limiting the present invention. Therefore, each element disclosed in the above embodiment is intended to include all design changes and equivalents that fall within the technical scope of the present invention.

  For example, in the above-described embodiment, the configuration in which the probe data of the vehicle on which the emergency operation has been performed is extracted based on the information on the traveling state of the vehicle included in the probe data has been described as an example, but the present invention is not limited thereto. . For example, the sensor group 110 may include a biological sensor provided in a vehicle and detecting a biological signal (for example, change in pulse rate, degree of perspiration, etc.) of a driver or another vehicle occupant. And in-vehicle control device 140 acquires a detection result of a living body sensor as probe data, and transmits it to information processor 200. The information processing device 200 may extract probe data of the vehicle on which the emergency operation has been performed based on the biological signal. The information processing apparatus 200 may extract, for example, probe data of a biological signal that has a sharp change in the pulse rate of the driver as probe data of a vehicle in which an emergency operation has been performed.

  Further, for example, in the above-described embodiment, the information processing device 200 transmits the caution vehicle information to the in-vehicle device 100, and the in-vehicle device 100 presents the received caution vehicle information to the driver as an example. Although explained, it is not limited to this. For example, when the on-vehicle apparatus 100 includes a traveling control device capable of automatically executing the driving of the vehicle, the on-vehicle apparatus 100 may control the traveling of the vehicle based on the caution vehicle information. . For example, when the on-vehicle device 100 receives the caution vehicle information notifying that the forward vehicle is the caution vehicle, the on-vehicle device 100 sets the inter-vehicle distance to the forward vehicle to be wider than the inter-vehicle distance that has been maintained. You may run it. In addition, for example, the on-vehicle apparatus 100 may change the driving plan so as not to travel in the lane in which the vehicle requiring caution travels or in the adjacent lane of the lane.

  Further, for example, in the above-described embodiment, the method for determining whether the vehicle attribute of the target peripheral vehicle corresponds to the vehicle attribute of the vehicle requiring attention is described using a method in which pieces of information constituting the vehicle attribute match. It is not limited. For example, when the information of the appearance of the vehicle among the vehicle attributes is compared and matched, it may be determined that the target surrounding vehicle corresponds to the caution vehicle. Further, for example, when the tendencies of the driver's driving operation among the vehicle attributes are compared and matched, it may be determined that the target surrounding vehicle corresponds to the caution vehicle. For example, when some information is missing among the vehicle attributes, the missing information may be excluded from the comparison target. Further, even when the vehicle attribute of the target surrounding vehicle is similar to the vehicle attribute of the caution vehicle, it may be determined that the target surrounding vehicle corresponds to the caution vehicle.

  Further, for example, in the above-described embodiment, the information processing device 200 performs processing for extracting probe data of a vehicle on which an emergency operation has been performed, and processing for extracting a vehicle requiring attention based on the extracted probe data. However, the present invention is not limited to this. For example, the in-vehicle device 100 may execute the above-described process. A target vehicle on which the in-vehicle device 100 is mounted will be described as an example.

  For example, the in-vehicle device 100 determines whether the target vehicle has performed an emergency operation based on the driving operation detected by the driving operation detection device 116. Then, when it is determined that the emergency operation has been performed, the in-vehicle device 100 detects the target peripheral vehicle that existed when the emergency operation was performed based on the captured image captured by the imaging device 111. Based on the detection results of the obstacle detection device 112, the distance measuring device 113, the vehicle speed sensor 115, and the driving operation detection device 116, the driving trajectory of the target peripheral vehicle and the driving operation performed by the driver of the target peripheral vehicle are estimated. Then, the in-vehicle device 100 identifies the target peripheral vehicle that is closely related to the emergency action among the target peripheral vehicles based on the estimated travel trajectory and driving characteristics as the vehicle requiring attention. In the case of this configuration, the in-vehicle device 100 includes probe data including the appearance information of the vehicle requiring attention, the travel locus of the vehicle requiring attention, the driving operation performed by the driver of the vehicle requiring attention, the relative speed of the vehicle requiring attention, It is transmitted to the information processing apparatus 200. By adopting such a configuration, the information processing device 200 receives probe data including information of a vehicle requiring attention. Thereby, the burden of the process which the information processing apparatus 200 performs can be reduced.

  For example, in the present specification, the information processing apparatus according to the present invention will be described using the information processing apparatus 200 as an example, but the present invention is not limited to this. Further, for example, in the present specification, the controller according to the present invention will be described using the control device 220 as an example, but the present invention is not limited to this.

DESCRIPTION OF SYMBOLS 100 ... Vehicle-mounted device 110 ... Sensor group 111 ... Imaging device 112 ... Obstacle detection device 113 ... Ranging device 114 ... Vehicle position detection device 115 ... Vehicle speed sensor 116 ... Driving operation detection device 120 ... Operation equipment group 130 ... Vehicle-mounted communication device 140 ... on-board control device 150 ... presentation device 200 ... information processing device 210 ... communication device 220 ... control device 230 ... database

Claims (12)

Collecting, from a plurality of vehicles, a plurality of probe data including travel information of the vehicle and image information on the periphery of the vehicle;
Identifying a vehicle on which an emergency operation has been performed based on the plurality of probe data;
Among the surrounding vehicles that existed around the vehicle when an emergency operation was performed, the peripheral vehicle that is closely related to the emergency operation is extracted as a vehicle requiring attention,
An information processing method for specifying an attribute of the caution vehicle that indicates a feature of the caution vehicle. An information processing method according to claim 1,
An information processing method for calculating an emergency motion induction frequency associated with an attribute of the vehicle requiring attention and indicating a frequency at which the vehicle requiring attention induces an emergency operation of the vehicle. The information processing method according to claim 1 or 2,
Acquiring probe data from the target vehicle including information on a target peripheral vehicle traveling around the target vehicle,
Identifying an attribute of the target surrounding vehicle based on the information on the target surrounding vehicle;
When the attribute of the target surrounding vehicle is compared with the attribute of the target surrounding vehicle, and the attribute of the target peripheral vehicle corresponds to the attribute of the attention required vehicle, the information on the vehicle requiring attention corresponding to the attribute of the target surrounding vehicle Information processing method to output The information processing method according to any one of claims 1 to 3, wherein
The travel information of the vehicle includes at least one of the position of the surrounding vehicle relative to the position of the vehicle and the speed of the surrounding vehicle relative to the speed of the vehicle,
The image information around the vehicle includes information on the appearance of the surrounding vehicle,
An information processing method of extracting the caution vehicle based on travel information of the vehicle and image information on the periphery of the vehicle. The information processing method according to any one of claims 1 to 4, wherein
The image information around the vehicle includes at least one of a vehicle type, a color, a license plate, and an exterior of the surrounding vehicle,
The information processing method which specifies the attribute about the appearance of the caution vehicle among the attributes of the caution vehicle based on the image information around the vehicle. An information processing method according to any one of claims 1 to 5,
Based on the traveling information of the vehicle, a driving operation performed by the driver of the surrounding vehicle is estimated;
An information processing method for identifying an attribute relating to a driving operation performed by a driver of the vehicle requiring attention based on a driving operation performed by a driver of the surrounding vehicle. An information processing method according to claim 6,
The driving operation performed by the driver of the surrounding vehicle is an information processing method including at least one of a brake operation, a steering operation, a direction indicator operation, and a hazard operation. An information processing method according to claim 6 or 7,
The driving operation of the surrounding vehicle is at least a sudden deceleration operation of the vehicle, a sudden steering operation of the vehicle, a driving operation for changing lanes with the direction indicator not lighted, a driving operation for ignoring a signal, or a driving operation for violation of pause The information processing method of extracting the said surrounding vehicle as the said cautions vehicle, when corresponding to one. Obtain vehicle travel information and image information around the vehicle,
Determine whether the vehicle has performed an emergency action,
When the emergency operation is performed, the surrounding vehicles that are closely related to the emergency operation among the surrounding vehicles existing around the vehicle when the emergency operation is performed are identified as vehicles requiring attention. ,
The information processing method which transmits the probe data containing the information on the said cautions vehicle to a server. An information processing method according to any one of claims 1 to 9,
The information processing method, wherein the emergency operation is an operation of a vehicle caused by a driving operation contrary to the driver's intention of the vehicle. It has a controller that performs information processing,
The controller
Collecting, from a plurality of vehicles, a plurality of probe data including travel information of the vehicle and image information on the periphery of the vehicle;
Identifying a vehicle on which an emergency operation has been performed based on the plurality of probe data;
Among the surrounding vehicles that existed around the vehicle when an emergency operation was performed, the peripheral vehicle that is closely related to the emergency operation is extracted as a vehicle requiring attention,
An information processing apparatus that identifies an attribute of the caution vehicle that indicates a feature of the caution vehicle. It has a controller that performs information processing,
The controller
Obtain vehicle travel information and image information around the vehicle,
Determine whether the vehicle has performed an emergency operation, detect surrounding vehicles that existed around the vehicle when the emergency operation was performed,
Identify the surrounding vehicles closely related to the emergency operation as the vehicles requiring attention,
An information processing apparatus that transmits probe data including information on the vehicle requiring attention to a server.

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