WO2016139747A1 - Vehicle control device, control method, program, and storage medium - Google Patents

Vehicle control device, control method, program, and storage medium Download PDF

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Publication number
WO2016139747A1
WO2016139747A1 PCT/JP2015/056197 JP2015056197W WO2016139747A1 WO 2016139747 A1 WO2016139747 A1 WO 2016139747A1 JP 2015056197 W JP2015056197 W JP 2015056197W WO 2016139747 A1 WO2016139747 A1 WO 2016139747A1
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WIPO (PCT)
Prior art keywords
vehicle
unit
acquisition
information
accuracy
Prior art date
Application number
PCT/JP2015/056197
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French (fr)
Japanese (ja)
Inventor
岩井 智昭
俵木 祐二
智之 藤枝
哲也 河原
陽子 藤田
Original Assignee
パイオニア株式会社
インクリメント・ピー株式会社
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Application filed by パイオニア株式会社, インクリメント・ピー株式会社 filed Critical パイオニア株式会社
Priority to PCT/JP2015/056197 priority Critical patent/WO2016139747A1/en
Publication of WO2016139747A1 publication Critical patent/WO2016139747A1/en

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    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W50/00Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
    • B60W50/08Interaction between the driver and the control system
    • B60W50/14Means for informing the driver, warning the driver or prompting a driver intervention
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
    • G01C21/26Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/16Anti-collision systems

Definitions

  • the present invention relates to an automatic driving technique.
  • Patent Document 1 discloses a technology that prompts the automatic operation to be canceled when a sensor that acquires the surrounding situation of the vehicle deteriorates the detection accuracy due to the external environment. Patent Document 1 also discloses that a stop point where the vehicle can be safely stopped is periodically searched, and the vehicle is guided to the stop point when the automatic driving is not canceled even if the automatic driving is canceled. Has been.
  • Patent Document 1 does not disclose any of the above problems.
  • the present invention has been made to solve the above-described problems, and is suitable for automatic operation in a safe place even when the accuracy of a sensor used for automatic operation does not satisfy a predetermined standard.
  • a main object is to provide a vehicle control device capable of guiding a vehicle.
  • the invention described in claim is a vehicle control device, wherein a storage unit that stores map information, an acquisition unit that acquires peripheral information of the vehicle, and whether the acquisition accuracy of the acquisition unit satisfies a predetermined criterion
  • the automatic operation is performed so as to guide the vehicle.
  • the invention described in the claims is a vehicle control device, wherein a plurality of acquisition units that acquire vehicle peripheral information, and whether each of the plurality of acquisition units satisfies an acquisition accuracy.
  • a determination unit configured to determine, and an automatic operation control unit configured to automatically drive the vehicle, wherein the automatic operation control unit does not satisfy the predetermined criterion among the plurality of acquisition units by the determination unit.
  • the automatic driving is performed so as to guide the vehicle to a stop point where the vehicle can be safely stopped based on the surrounding information acquired by the other acquisition unit.
  • the invention described in the claims is a control method executed by a vehicle control device having a storage unit that stores map information, wherein an acquisition step of acquiring vehicle peripheral information and an acquisition accuracy of the acquisition step are predetermined.
  • the vehicle can be stopped safely based on the map information.
  • the automatic driving is performed so that the vehicle is guided to a stationary stop point.
  • the invention described in the claims is a program executed by a computer that refers to a storage unit that stores map information, and an acquisition unit that acquires vehicle periphery information, and an acquisition accuracy of the acquisition unit is a predetermined standard
  • a computer that functions as an automatic driving control unit that performs automatic driving of the vehicle, and the automatic driving control unit determines that the determination unit satisfies the predetermined criterion.
  • the automatic operation is performed based on the peripheral information acquired by the acquisition unit, and when the determination unit determines that the predetermined standard is not satisfied, the vehicle is safely stopped based on the map information.
  • the automatic driving is performed so that the vehicle is guided to a possible stop point.
  • the block structure of a driving assistance device is shown. It is a table which shows the evaluation value of the precision of the camera and lidar for every parameter which determines an environment. It is a figure which shows the candidate of the safe spot which performs guidance. It is a flowchart performed at the time of automatic driving
  • the vehicle control device includes a storage unit that stores map information, an acquisition unit that acquires vehicle peripheral information, and whether the acquisition accuracy of the acquisition unit satisfies a predetermined criterion. And an automatic driving control unit that performs automatic driving of the vehicle, and the automatic driving control unit acquires the acquisition when the determining unit determines that the predetermined criterion is satisfied. If the automatic driving is performed based on the peripheral information acquired by the unit and the determination unit determines that the predetermined standard is not satisfied, the stop point can be safely stopped based on the map information. The automatic driving is performed so as to guide the vehicle.
  • the vehicle control device includes a storage unit, an acquisition unit, a determination unit, and an automatic driving control unit.
  • the storage unit stores map information.
  • the acquisition unit acquires vehicle peripheral information.
  • the determination unit determines whether the acquisition accuracy of the acquisition unit satisfies a predetermined criterion. When the determination unit determines that the acquisition accuracy of the acquisition unit satisfies a predetermined standard, the automatic operation control unit performs automatic driving based on the peripheral information acquired by the acquisition unit, and the acquisition unit has an acquisition accuracy of When the determination unit determines that the predetermined standard is not satisfied, automatic driving is performed based on the map information so as to guide the vehicle to a stop where the vehicle can be safely stopped.
  • the vehicle control device preferably places the vehicle at a stop where the vehicle can be safely stopped based on the map information even if the acquisition accuracy of the acquisition unit that acquires the peripheral information does not satisfy the predetermined standard. Induce. Thereby, the vehicle control device can automatically drive to the stop point while suitably preventing malfunction due to the use of an acquisition unit with low acquisition accuracy.
  • the vehicle control device further includes an environment information acquisition unit that acquires environment information of the vehicle, and the determination unit has a predetermined acquisition accuracy of the acquisition unit based on the environment information. Judgment of whether the criteria are satisfied. According to this aspect, the vehicle control device can preferably determine whether the acquisition accuracy of the acquisition unit satisfies a predetermined criterion.
  • the acquisition unit includes at least one of a camera and a lidar
  • the environmental information is information related to weather at a point where the vehicle exists.
  • the vehicle control device can preferably determine whether the acquisition accuracy of the acquisition unit satisfies a predetermined criterion based on the weather.
  • the determination unit includes a detection unit that detects the acquisition accuracy of the acquisition unit, and the vehicle control device determines that the determination unit does not satisfy the predetermined criterion.
  • a specifying unit that specifies a range on the map that includes the position of the vehicle according to the acquisition accuracy detected by the detection unit, and an extraction unit that extracts the stop point from the range specified by the specifying unit And further.
  • the vehicle control device can suitably select the stop point according to the acquisition accuracy of the acquisition unit.
  • the specifying unit specifies the range such that the range becomes wider as the acquisition accuracy detected by the detection unit is higher. By doing in this way, the vehicle control apparatus can select a stop point suitably according to the acquisition accuracy of an acquisition part.
  • the acquisition unit is an external sensor that acquires peripheral information of the vehicle, and the automatic operation control unit determines that the determination unit does not satisfy the predetermined criterion.
  • the automatic driving is performed based on the map information and the output of an internal sensor that detects the state of the vehicle.
  • the acquisition accuracy of the external sensor is likely to change depending on the environment or the like, and the acquisition accuracy of the internal sensor is unlikely to change. Therefore, when the acquisition accuracy of the external sensor is low, the vehicle control device performs the automatic driving based on the internal sensor and the map information, so that the vehicle can preferably travel to the stop point without causing malfunction. Can do.
  • the internal sensor include high-accuracy GPS (cm-class position accuracy such as quasi-zenith satellite positioning), a gyro sensor, and an acceleration sensor.
  • the vehicle control device includes a plurality of acquisition units that acquire vehicle peripheral information, and whether each of the plurality of acquisition units satisfies an acquisition accuracy. And an automatic driving control unit that automatically drives the vehicle.
  • the automatic driving control unit does not satisfy the predetermined criterion among the plurality of acquiring units by the determining unit. In the case where there is a vehicle that has been determined to be, the automatic operation is performed so that the vehicle is guided to a stop where the vehicle can be safely stopped based on the peripheral information acquired by the other acquisition unit.
  • the vehicle control device can safely stop based on the peripheral information acquired by another acquisition unit when there is a determination that the predetermined standard is not satisfied among the plurality of acquisition units. Autonomous driving is performed to guide the vehicle to the stop point. Also according to this aspect, the vehicle control device can automatically drive to the stop point while suitably preventing malfunction due to the use of an acquisition unit with low acquisition accuracy.
  • a control method executed by a vehicle control device having a storage unit for storing map information, an acquisition step of acquiring vehicle peripheral information, and acquisition of the acquisition step A determination step for determining whether the accuracy satisfies a predetermined criterion, and an automatic driving step for automatically driving the vehicle, wherein the determination step satisfies the predetermined criterion If it is determined, the automatic operation is performed based on the peripheral information acquired by the acquisition step, and if it is determined that the determination step does not satisfy the predetermined standard, the safety information is determined based on the map information. The automatic driving is performed so that the vehicle is guided to a stop point where the vehicle can be stopped. By executing this control method, the vehicle control device can automatically drive to the stop point while suitably preventing malfunctions caused by using an acquisition unit with low acquisition accuracy.
  • a program executed by a computer that refers to a storage unit that stores map information, the acquisition unit acquiring vehicle peripheral information, and the acquisition accuracy of the acquisition unit.
  • a determination unit configured to determine whether a predetermined criterion is satisfied; and an automatic driving control unit configured to perform automatic driving of the vehicle.
  • the automatic driving control unit is configured so that the determination unit satisfies the predetermined criterion. If it is determined, the automatic operation is performed based on the peripheral information acquired by the acquisition unit, and if the determination unit determines that the predetermined standard is not satisfied, based on the map information, The automatic driving is performed so that the vehicle is guided to a stop point where the vehicle can be safely stopped.
  • the computer can automatically drive to the stop point while suitably preventing malfunctions caused by using an acquisition unit with low acquisition accuracy.
  • the program is stored in a storage medium.
  • FIG. 1 is a schematic configuration of an automatic driving system according to the present embodiment.
  • the automatic driving system includes a driving support device 1 that moves together with each vehicle, and a server device 2 that communicates with each driving support device 1 via a network 9.
  • the driving support device 1 is, for example, a stationary navigation device or a mobile terminal such as a smartphone, and detailed map information including information necessary for automatic driving (also referred to as “advanced map information D1”) is the server device 2. Get from. Then, the driving support device 1 performs driving support such as route guidance and automatic driving based on the received advanced map information D1 and the like. In addition, the driving support device 1 transmits output information of the sensor unit 12 such as a camera or information recognized based on the output information (also referred to as “sensor information D2”) to the server device 2.
  • the sensor information D2 includes time information and position information indicating the time and place where the driving support device 1 generates the sensor information D2.
  • the driving support device 1 can stop the vehicle safely when it is determined that the accuracy of the sensor unit 12 is lower than the accuracy required for automatic driving and automatic driving is not possible.
  • the vehicle is guided to a point (also simply referred to as “safety point”) by automatic driving.
  • the driving support device 1 is an example of the “vehicle control device” in the present invention.
  • the server device 2 stores an advanced map DB (Database) 21 and receives the sensor information D2 from each driving support device 1 to update the advanced map DB 21.
  • advanced map DB 21 road data that is map information on the position and shape of roads, lanes, intersections, signs, buildings, etc., traffic information indicating traffic conditions such as road congestion, accident occurrence, construction, etc.
  • traffic information indicating traffic conditions such as road congestion, accident occurrence, construction, etc.
  • the surrounding situation information indicating the surrounding situation of each road, such as the lane blockage accompanying the road, the weather information indicating the current weather or the predicted weather on each road, and the like are included.
  • the server device 2 extracts data corresponding to the area where the driving support device 1 exists or the route periphery set by the driving support device 1 from the advanced map DB 21, The map information D1 is transmitted to the driving support device 1.
  • FIG. 2 is a block diagram illustrating a functional configuration of the driving support device 1.
  • the driving support device 1 mainly includes a communication unit 11, a sensor unit 12, a determination unit 13, an advanced map information processing unit 14, a route setting unit 15, a user interface (“ 16) (noted as “user I / F”), an automatic operation control unit 17, and a notification unit 18.
  • the communication unit 11 communicates with the server device 2 and executes a reception process of the advanced map information D1, a transmission process of the sensor information D2, and the like. Note that the communication unit 11 may perform vehicle-to-vehicle communication with the driving support device 1 of another vehicle and exchange position information and the like.
  • the sensor unit 12 includes an external sensor 20 and an internal sensor 30 and generates information related to a vehicle (own vehicle) that moves together with the driving support device 1.
  • the external sensor 20 is a sensor for acquiring vehicle periphery information, and includes a camera 22, a lidar (Lidar: LightdarDetection and Ranging) 23, a radar 24, and a sonar 25. Including.
  • the external sensor 20 is an example of the “acquisition unit” in the present invention.
  • the inner world sensor 30 is a sensor that detects the state of the host vehicle, and includes a satellite positioning sensor 31 such as a GPS receiver, a gyro sensor 32, a vehicle speed sensor 33, and a state indicator. And a vehicle control signal sensor 34 for acquiring information. Output signals from the external sensor 20 and the internal sensor 30 are supplied to the determination unit 13 and the route setting unit 15.
  • the determination unit 13 determines the vehicle position, the state of the vehicle, and the surrounding situation of the vehicle based on the output signal of the sensor unit 12. For example, in order to estimate the position of the vehicle with high accuracy required for automatic driving, the determination unit 13 determines the position of the white line of the running lane based on the output of the external sensor 20 such as the camera 22 in addition to the output of the satellite positioning sensor 31. The vehicle position is estimated by recognizing the position of the sign in front of the vehicle and the vehicle. Further, the determination unit 13 recognizes the traveling state and operation state of the vehicle such as the traveling speed and traveling direction information of the host vehicle based on the outputs of the internal sensors 30 such as the vehicle speed sensor 33 and the vehicle control signal sensor 34.
  • the determination unit 13 recognizes the surrounding situation of the road on which the lane such as the accident occurrence place, the blocked lane, etc. is running based on the output of the external sensor 20 or the like. Then, the determination unit 13 supplies information recognized based on the output of the sensor unit 12 to the advanced map information processing unit 14. Moreover, the determination part 13 supplies the output information of the sensor part 12, the information recognized based on the said information, etc. to the communication part 11 as sensor information D2.
  • the advanced map information processing unit 14 executes predetermined processing based on the advanced map information D1 received from the server device 2, the information received from the determination unit 13, and the like. It has a situation storage unit 42, a traffic information storage unit 43, a weather information storage unit 44, an automatic driving availability determination unit 45, and a safety point search unit 46.
  • the advanced map information processing unit 14 is an example of the “environment information acquisition unit” in the present invention.
  • the road data storage unit 41 stores road data and facility information stored in advance as map information.
  • the road data storage unit 41 may appropriately update the stored road data and the like based on the advanced map information D1.
  • the surrounding situation storage unit 42 stores information indicating the surrounding situation of the road based on the advanced map information D1 or the information received from the determination unit 13.
  • the traffic information storage unit 43 stores traffic information such as traffic jams and traffic restrictions included in the advanced map information D1.
  • the traffic information storage unit 43 may receive and store traffic information such as traffic jams and traffic regulations distributed from a VICS (registered trademark, Vehicle Information Communication System) center.
  • the meteorological information storage unit 44 stores the meteorological information included in the advanced map information D1 or the meteorological information around the vehicle position received by the communication unit 11 from a server (not shown) that manages the meteorological information of each place.
  • the automatic driving availability determination unit 45 is automatically based on information stored in the road data storage unit 41, the surrounding situation storage unit 42, the traffic information storage unit 43, and the weather information storage unit 44 (collectively referred to as “environment information”). Judge whether driving is possible. Specifically, the automatic driving permission / inhibition determination unit 45 detects a traveling mark such as a white line based on the output of the external sensor 20 and an accuracy of detecting an obstacle such as a preceding vehicle or a pedestrian (simply referred to as “sensor accuracy”). Calculated). Then, the automatic driving availability determination unit 45 determines that the automatic driving cannot be performed when the calculated sensor accuracy does not reach a predetermined accuracy (also referred to as “reference accuracy”) necessary for the automatic driving.
  • a predetermined accuracy also referred to as “reference accuracy”
  • the above-described reference accuracy is an example of the “predetermined reference” in the present invention.
  • the method for calculating the sensor accuracy will be described in detail in the section “Example of sensor accuracy calculation”.
  • the automatic driving availability determination unit 45 is an example of the “determination unit” in the present invention.
  • the safe spot search unit 46 searches for a safe spot.
  • the safety point is a point where parking is possible safely, and corresponds to, for example, a parking lot, a vacant lot, a parkingable facility, and the like.
  • the safe spot searching unit 46 searches for a safe spot around the vehicle position based on, for example, facility information stored in the road data storage unit 41.
  • the route setting unit 15 searches for a route to the destination input by the user I / F 16. In this embodiment, as will be described later, when the destination is set, the route setting unit 15 searches for a recommended route taking into account various conditions such as time, distance, and fee.
  • the route setting unit 15 is an example of the “route search unit” in the present invention.
  • the user I / F 16 is a user interface such as buttons, switches, a touch panel, and a remote controller for the user to input a destination and to specify setting or cancellation of automatic driving.
  • the automatic driving control unit 17 performs automatic driving of the vehicle based on the route set by the route setting unit 15 when automatic driving is set. During automatic driving, the automatic driving control unit 17 controls the vehicle by controlling the accelerator amount, the brake amount, the steering angle, and the like based on, for example, the surrounding situation of the host vehicle recognized by the determining unit 13. In addition, the automatic driving control unit 17 determines one safety point from the safety points searched by the safety point searching unit 46 when the automatic driving propriety determining unit 45 determines that the sensor accuracy of the external sensor 20 does not satisfy the reference accuracy. Select a point and perform automatic driving to the safety point. The safe point selection method will be explained in detail in the section [Select Safe Point].
  • the automatic operation control unit 17 performs the automatic operation of the vehicle without using the output information of the external sensor 20.
  • the automatic operation control unit 17 automatically performs the automatic operation based on the information stored in the road data storage unit 41 and the vehicle state (for example, the own vehicle position and the traveling direction) recognized from the output of the internal sensor 30. Continue driving.
  • the automatic operation control unit 17 is an example of the “automatic operation control unit”, “specification unit”, and “extraction unit” in the present invention.
  • the notification unit 18 is a display or an audio output device, and displays information about the set route and other information about driving support and outputs audio.
  • CPU which comprises the determination part 13, the advanced map information processing part 14, the route setting part 15, and the automatic driving
  • the automatic driving availability determination unit 45 calculates the sensor accuracy of each external sensor 20 based on the environmental information, the current time, and the like. When the sensor accuracy of any of the external sensors 20 is less than a predetermined reference accuracy, It is determined that the operation cannot be executed.
  • FIG. 3 is a table showing the sensor accuracy of the camera 22 and the lidar 23 for each weather and time zone, which is an example of a parameter for determining the environment.
  • Each sensor accuracy shown in FIG. 3 is set to be “1.0” in the case of standard sensor accuracy.
  • the recognition accuracy for an object such as a forward vehicle or a white line based on an image generated by the camera 22 decreases in the order of clear, cloudy, rainy, and snow. Therefore, in FIG. 3, the sensor accuracy of the camera 22 is set to be lower in the order of clear, cloudy, rainy, and snowy.
  • the recognition accuracy for an object based on data generated by the lidar 23 generally decreases in the order of cloudy, clear, rain, and snow. Therefore, in FIG. 3, the sensor accuracy of the lidar 23 is set to be lower in the order of cloudy, clear, rain, and snow.
  • the recognition accuracy for the object is lower at night than in the daytime, and in the case of the lidar 23, external light such as sunlight is compared with that in the daytime.
  • the recognition accuracy to the target object at night without the influence of is increased. Therefore, in FIG. 3, the sensor accuracy of the camera 22 is set lower at night than at daytime, and the sensor accuracy of the lidar 23 is set lower at daytime than at night.
  • the automatic driving propriety determination unit 45 stores in advance a table indicating the sensor accuracy of each external sensor 20 for each parameter as shown in FIG. 3, and sets the parameter for each external sensor 20 based on environmental information and time information. Recognize the accuracy of each sensor. And the automatic driving
  • the automatic driving propriety determination unit 45 may further subdivide the sensor accuracy in accordance with the amount of rain or the amount of snow and store it in the table of FIG. In this case, the automatic driving availability determination unit 45 sets the target sensor accuracy related to the weather to be lower as the amount of rain or the amount of snow is larger. In addition, when there is a special weather condition that deteriorates the sensor accuracy such as road surface freezing or dense fog, the automatic driving availability determination unit 45 sets the sensor accuracy related to the weather lower than the case where these weather conditions do not exist. May be.
  • the automatic driving propriety determination unit 45 when the automatic driving propriety determination unit 45 recognizes that the currently traveling section is a section where there is no mark necessary for automatic driving such as a white line or a sign based on the environment information, the automatic driving propriety determination section 45 displays the mark.
  • the sensor accuracy for the sensor for detection is set to a value lower than the reference accuracy.
  • the safe point search unit 46 sets a distance (also referred to as “allowable distance Dr”) according to the calculated sensor accuracy of the external sensor 20, and sets a safe point that is closer than the allowable distance Dr to the safety of the guidance destination. Select as a point. In this case, the allowable distance Dr is set to be shorter as the calculated sensor accuracy of the external sensor 20 is lower. In this case, the safe point search unit 46 sets the allowable distance Dr based on, for example, the average value or the minimum value of the sensor accuracy of each external sensor 20.
  • FIG. 4 is a diagram showing a range of safety points that can be selected as a guide destination.
  • a mark 50 in FIG. 4 indicates the position of the vehicle on the route 53 when the automatic driving availability determination unit 45 determines that the sensor accuracy is less than the reference accuracy.
  • the automatic driving propriety determination unit 45 sets the allowable distance Dr to the distance “Dr1” according to the sensor accuracy.
  • a circular area “A1” having a radius Dr1 centered on the vehicle position is recognized as a range of safe spots that can be selected as a guide destination.
  • the automatic driving propriety determination unit 45 selects one safety point as the guidance destination safety point from the safety points A to C in the area A1.
  • the automatic driving propriety determination unit 45 may select a safety point closest to the vehicle position from among the safety points in the area A1, and select a safety point with the lowest parking fee. Alternatively, a safe spot with the largest number of facilities may be selected.
  • the automatic driving availability determination unit 45 sets the allowable distance Dr to a distance “Dr2” shorter than the distance Dr1, and sets the vehicle position as the center.
  • the circle area “A2” having the radius Dr2 is recognized as a safe point range that can be selected as a guide destination.
  • the automatic driving availability determination unit 45 selects one safety point from the safety points B to C in the area A2 as the safety point of the guidance destination.
  • FIG. 5 is a flowchart showing a processing procedure executed by the driving support device 1 during execution of automatic driving.
  • the driving support device 1 executes the processing of the flowchart shown in FIG. 5 after the destination is designated by the user I / F 16 and the route setting unit 15 sets the traveling route for automatic driving.
  • the automatic operation control unit 17 executes automatic operation based on the set travel route (step S101). Then, the determination unit 13 estimates the own vehicle position, the state of the own vehicle, and the surrounding situation based on the output of the sensor unit 12 (step S102). Moreover, the determination part 13 transmits the information which shows the above-mentioned estimation result, or the output information of the sensor part 12 to the server apparatus 2 by the communication part 11 as sensor information D2.
  • the advanced map information processing unit 14 receives the advanced map information D1 from the server device 2 via the communication unit 11 (step S103). And the advanced map information processing part 14 memorize
  • the safe spot search unit 46 searches for a safe spot (step S104). Specifically, the safe spot search unit 46 searches for a safe spot that is a candidate for a safe spot to guide the vehicle in step S108 described later. In this case, for example, the safe spot search unit 46 searches for an area that can be parked within an area within a predetermined distance from the vehicle position as a safe spot.
  • the automatic driving availability determination unit 45 calculates the sensor accuracy of each external sensor 20 used for automatic driving based on the environmental information and time information (step S105). Then, the automatic driving availability determination unit 45 determines whether there is an external sensor 20 whose sensor accuracy is less than the reference accuracy (step S106). When the automatic driving availability determination unit 45 determines that there is an external sensor 20 whose sensor accuracy is less than the reference accuracy (step S106; Yes), the automatic driving control unit 17 does not use all the external sensors 20. The automatic operation is continued (step S107). Specifically, the automatic driving control unit 17 continues the automatic driving based only on the output information of the inner world sensor 30 and the map information stored in the road data storage unit 41 and the like.
  • operation control part 17 can prevent performing an automatic driving
  • step S106; No when there is no external sensor 20 whose sensor accuracy is less than the reference accuracy (step S106; No), that is, when the sensor accuracy of all the external sensors 20 is equal to or higher than the reference accuracy, the process returns to step S101. In this case, the automatic operation control unit 17 continues the automatic operation in consideration of the output information of the external sensor 20 as usual.
  • step S108 the driving support device 1 determines whether or not the user I / F 16 has detected an operation for switching to manual driving (step S109). Then, when the driving support device 1 detects an operation to switch to manual driving within a predetermined time after the warning in step S108 (step S109; Yes), the driving support device 1 ends the automatic driving and ends the processing of the flowchart.
  • the automatic driving control unit 17 sets the sensor accuracy calculated in step S105.
  • the vehicle is guided by automatic driving to a safety point that exists within the corresponding allowable distance Dr (step S110).
  • the automatic driving control unit 17 determines the allowable distance Dr based on the sensor accuracy calculated in step S105, and among the safety points searched in step S104, a circle having the allowable distance Dr as a radius centered on the own vehicle position. Set the safety point in the area as the safety point of the destination.
  • the driving support device 1 stores map information and acquires the surrounding information of the vehicle by the external sensor 20.
  • the driving support device 1 determines that the sensor accuracy of the external sensor 20 satisfies the reference accuracy
  • the driving support device 1 performs automatic driving based on the peripheral information acquired by the external sensor 20, and the sensor accuracy of the external sensor 20.
  • automatic driving is performed so as to guide the vehicle to a safe spot based on the map information.
  • the driving support device 1 can appropriately automatically drive to the stop point while suitably preventing malfunction due to the use of the external sensor 20 having low sensor accuracy.
  • step S107 in FIG. 5 the automatic operation control unit 17 continues the automatic operation without using all the external sensors 20 when there is a sensor whose sensor accuracy calculated in step S105 is less than the reference accuracy. Instead of this, the automatic operation control unit 17 may continue the automatic operation without using only the sensor whose sensor accuracy calculated in step S105 does not satisfy the reference accuracy among the external sensors 20 used for the automatic operation. .
  • the automatic operation control unit 17 continues the automatic operation up to the safety point by excluding only the sensors whose sensor accuracy is lower than the reference accuracy. That is, the automatic operation control unit 17 continues the automatic operation up to the safety point by continuously using the external sensor 20 whose sensor accuracy satisfies the reference accuracy. Thereby, the driving assistance apparatus 1 can continue an automatic driving
  • the driving support device 1 searches for a route to the destination designated by the user I / F 16 and performs automatic driving. Instead, the driving support device 1 estimates the route traveled by the vehicle by referring to the past vehicle travel history even when the destination is not specified, and automatically operates based on the estimated route. You may drive. In this case, the driving support device 1 stores road information transmitted by the vehicle as a travel history, and predicts a travel route based on a known statistical method with reference to the travel history. For example, when the accuracy of the predicted route is equal to or higher than a predetermined value, the driving support device 1 performs automatic driving based on the predicted route.
  • the automatic driving system may not include the server device 2.
  • the driving support device 1 performs automatic driving based on map information stored in advance, output information of the sensor unit 12, and the like.
  • the driving support device 1 may receive, for example, weather information necessary for calculating sensor accuracy from a server that manages weather information (not shown), and based on output information of a sensor such as a raindrop sensor, You may estimate the weather in the own vehicle position.
  • the safety point search unit 46 may search for a safety point after it is determined in step S106 that there is a sensor whose sensor accuracy is less than the reference accuracy.
  • the automatic operation control unit 17 after determining that there is a sensor whose sensor accuracy is less than the reference accuracy in step S106, the automatic operation control unit 17 immediately sets a safe point without performing a warning for canceling the automatic operation in step S108. Guidance may begin.
  • the processing of the server device 2 described in the embodiment may be executed by a server system including a plurality of server devices.
  • each server apparatus appropriately receives information necessary for executing a process assigned in advance from another server and executes a predetermined process.
  • the automatic driving control unit 17 guides the vehicle to a safe spot that exists in a circular area with the allowable distance Dr as a radius around the own vehicle position.
  • the method for selecting a safe spot to which the present invention is applicable is not limited to this. Instead of this, for example, the automatic driving control unit 17 recognizes a range in which the travel distance from the vehicle position is within the allowable distance Dr, and selects a safety point existing within the range as the safety point of the guidance destination. May be.

Abstract

According to the present invention, a driving assistance device 1 stores map information and acquires surroundings information for a vehicle by means of an external sensor 20. The driving assistance device 1, when it is determined that the sensor accuracy of the external sensor 20 satisfies a reference accuracy, performs automatic driving on the basis of the surroundings information acquired by the external sensor 20, and, when it is determined that the sensor accuracy of the external sensor 20 does not satisfy the reference accuracy, performs automatic driving so as to guide the vehicle to a safe point on the basis of the map information.

Description

車両制御装置、制御方法、プログラム及び記憶媒体VEHICLE CONTROL DEVICE, CONTROL METHOD, PROGRAM, AND STORAGE MEDIUM
 本発明は、自動運転の技術に関する。 The present invention relates to an automatic driving technique.
 従来から、カメラやレーダなどのセンサを利用して車両の運転を自動化する自動運転が知られている。そして、特許文献1には、車両の周辺状況を取得するセンサが、外部環境によって検知精度が悪化した場合に、自動運転の解除を促す技術が開示されている。また、特許文献1には、車両を安全に停車可能な停車地点を定期的に検索し、自動運転の解除を促しても自動運転が解除されないときに車両を停車地点に誘導する点についても開示されている。 Conventionally, automatic driving for automating driving of a vehicle using sensors such as a camera and a radar is known. Patent Document 1 discloses a technology that prompts the automatic operation to be canceled when a sensor that acquires the surrounding situation of the vehicle deteriorates the detection accuracy due to the external environment. Patent Document 1 also discloses that a stop point where the vehicle can be safely stopped is periodically searched, and the vehicle is guided to the stop point when the automatic driving is not canceled even if the automatic driving is canceled. Has been.
特開2014-106854号公報JP 2014-106854 A
 自動運転の継続が困難になって停車地点に誘導する際、検知精度が悪化したセンサを継続して使用して停車地点まで自動運転を行うと、自動運転の精度が悪化する可能性がある。特許文献1には、上記問題点については、何ら開示がない。 If the automatic operation to the stop point is continued using the sensor whose detection accuracy has deteriorated when it is difficult to continue the automatic operation and the vehicle is guided to the stop point, the accuracy of the automatic operation may deteriorate. Patent Document 1 does not disclose any of the above problems.
 本発明は、上記のような課題を解決するためになされたものであり、自動運転に用いるセンサの精度が所定の基準を満たさなくなった場合であっても、安全な場所に自動運転で好適に車両を誘導することが可能な車両制御装置を提供することを主な目的とする。 The present invention has been made to solve the above-described problems, and is suitable for automatic operation in a safe place even when the accuracy of a sensor used for automatic operation does not satisfy a predetermined standard. A main object is to provide a vehicle control device capable of guiding a vehicle.
 請求項に記載の発明は、車両制御装置であって、地図情報を記憶する記憶部と、車両の周辺情報を取得する取得部と、前記取得部の取得精度が所定の基準を満たしているかを判定する判定部と、前記車両の自動運転を行う自動運転制御部と、を備え、前記自動運転制御部は、前記判定部が前記所定の基準を満たしている判定した場合には、前記取得部が取得した周辺情報に基づいて前記自動運転を行い、前記判定部が前記所定の基準を満たしていないと判定した場合には、前記地図情報に基づいて、安全に停車可能な停車地点に前記車両を誘導するように前記自動運転を行うことを特徴とする。 The invention described in claim is a vehicle control device, wherein a storage unit that stores map information, an acquisition unit that acquires peripheral information of the vehicle, and whether the acquisition accuracy of the acquisition unit satisfies a predetermined criterion A determination unit for determining, and an automatic operation control unit that performs automatic driving of the vehicle, and the automatic operation control unit, when determining that the determination unit satisfies the predetermined criterion, the acquisition unit If the automatic driving is performed based on the acquired peripheral information and the determination unit determines that the predetermined standard is not satisfied, the vehicle is located at a stop where the vehicle can be safely stopped based on the map information. The automatic operation is performed so as to guide the vehicle.
 また、請求項に記載の発明は、車両制御装置であって、車両の周辺情報を取得する複数の取得部と、前記複数の取得部のそれぞれについて、取得精度が所定の基準を満たしているかを判定する判定部と、前記車両を自動運転する自動運転制御部と、を備え、前記自動運転制御部は、前記判定部によって、前記複数の取得部のうち、前記所定の基準を満たしていないと判定されたものがある場合には、他の前記取得部によって取得された周辺情報に基づいて、安全に停車可能な停車地点に前記車両を誘導するように前記自動運転を行うことを特徴とする。 The invention described in the claims is a vehicle control device, wherein a plurality of acquisition units that acquire vehicle peripheral information, and whether each of the plurality of acquisition units satisfies an acquisition accuracy. A determination unit configured to determine, and an automatic operation control unit configured to automatically drive the vehicle, wherein the automatic operation control unit does not satisfy the predetermined criterion among the plurality of acquisition units by the determination unit. When there is a determined one, the automatic driving is performed so as to guide the vehicle to a stop point where the vehicle can be safely stopped based on the surrounding information acquired by the other acquisition unit. .
 また、請求項に記載の発明は、地図情報を記憶する記憶部を有する車両制御装置が実行する制御方法であって、車両の周辺情報を取得する取得工程と、前記取得工程の取得精度が所定の基準を満たしているかを判定する判定工程と、前記車両の自動運転を行う自動運転工程と、を有し、前記自動運転工程は、前記判定工程が前記所定の基準を満たしている判定した場合には、前記取得工程が取得した周辺情報に基づいて前記自動運転を行い、前記判定工程が前記所定の基準を満たしていないと判定した場合には、前記地図情報に基づいて、安全に停車可能な停車地点に前記車両を誘導するように前記自動運転を行うことを特徴とする。 The invention described in the claims is a control method executed by a vehicle control device having a storage unit that stores map information, wherein an acquisition step of acquiring vehicle peripheral information and an acquisition accuracy of the acquisition step are predetermined. A determination step for determining whether or not the above criteria are satisfied, and an automatic driving step for automatically driving the vehicle, wherein the automatic driving step determines that the determination step satisfies the predetermined criterion In the case where the automatic operation is performed based on the peripheral information acquired by the acquisition step, and the determination step determines that the predetermined standard is not satisfied, the vehicle can be stopped safely based on the map information. The automatic driving is performed so that the vehicle is guided to a stationary stop point.
 また、請求項に記載の発明は、地図情報を記憶する記憶部を参照するコンピュータが実行するプログラムであって、車両の周辺情報を取得する取得部と、前記取得部の取得精度が所定の基準を満たしているかを判定する判定部と、前記車両の自動運転を行う自動運転制御部として前記コンピュータを機能させ、前記自動運転制御部は、前記判定部が前記所定の基準を満たしている判定した場合には、前記取得部が取得した周辺情報に基づいて前記自動運転を行い、前記判定部が前記所定の基準を満たしていないと判定した場合には、前記地図情報に基づいて、安全に停車可能な停車地点に前記車両を誘導するように前記自動運転を行うことを特徴とする。 The invention described in the claims is a program executed by a computer that refers to a storage unit that stores map information, and an acquisition unit that acquires vehicle periphery information, and an acquisition accuracy of the acquisition unit is a predetermined standard And a computer that functions as an automatic driving control unit that performs automatic driving of the vehicle, and the automatic driving control unit determines that the determination unit satisfies the predetermined criterion. In this case, the automatic operation is performed based on the peripheral information acquired by the acquisition unit, and when the determination unit determines that the predetermined standard is not satisfied, the vehicle is safely stopped based on the map information. The automatic driving is performed so that the vehicle is guided to a possible stop point.
自動運転システムの概略構成である。It is a schematic structure of an automatic driving system. 運転支援装置のブロック構成を示す。The block structure of a driving assistance device is shown. 環境を決定するパラメータごとのカメラ及びライダの精度の評価値を示すテーブルである。It is a table which shows the evaluation value of the precision of the camera and lidar for every parameter which determines an environment. 誘導を行う安全地点の候補を示す図である。It is a figure which shows the candidate of the safe spot which performs guidance. 自動運転時に実行するフローチャートである。It is a flowchart performed at the time of automatic driving | operation.
 本発明の好適な実施形態によれば、車両制御装置は、地図情報を記憶する記憶部と、車両の周辺情報を取得する取得部と、前記取得部の取得精度が所定の基準を満たしているかを判定する判定部と、前記車両の自動運転を行う自動運転制御部と、を備え、前記自動運転制御部は、前記判定部が前記所定の基準を満たしている判定した場合には、前記取得部が取得した周辺情報に基づいて前記自動運転を行い、前記判定部が前記所定の基準を満たしていないと判定した場合には、前記地図情報に基づいて、安全に停車可能な停車地点に前記車両を誘導するように前記自動運転を行う。 According to a preferred embodiment of the present invention, the vehicle control device includes a storage unit that stores map information, an acquisition unit that acquires vehicle peripheral information, and whether the acquisition accuracy of the acquisition unit satisfies a predetermined criterion. And an automatic driving control unit that performs automatic driving of the vehicle, and the automatic driving control unit acquires the acquisition when the determining unit determines that the predetermined criterion is satisfied. If the automatic driving is performed based on the peripheral information acquired by the unit and the determination unit determines that the predetermined standard is not satisfied, the stop point can be safely stopped based on the map information. The automatic driving is performed so as to guide the vehicle.
 上記車両制御装置は、記憶部と、取得部と、判定部と、自動運転制御部とを備える。記憶部は、地図情報を記憶する。取得部は、車両の周辺情報を取得する。判定部は、取得部の取得精度が所定の基準を満たしているかを判定する。自動運転制御部は、取得部の取得精度が所定の基準を満たしていると判定部が判定した場合には、取得部が取得した周辺情報に基づいて自動運転を行い、取得部の取得精度が所定の基準を満たしていないと判定部が判定した場合には、地図情報に基づいて、安全に停車可能な停車地点に車両を誘導するように自動運転を行う。この態様では、車両制御装置は、周辺情報を取得する取得部の取得精度が所定の基準を満たさなくなった場合であっても、地図情報に基づいて安全に停車可能な停車地点に車両を好適に誘導する。これにより、車両制御装置は、取得精度が低い取得部を用いることによる誤作動等を好適に防ぎつつ、停車地点まで自動運転することができる。 The vehicle control device includes a storage unit, an acquisition unit, a determination unit, and an automatic driving control unit. The storage unit stores map information. The acquisition unit acquires vehicle peripheral information. The determination unit determines whether the acquisition accuracy of the acquisition unit satisfies a predetermined criterion. When the determination unit determines that the acquisition accuracy of the acquisition unit satisfies a predetermined standard, the automatic operation control unit performs automatic driving based on the peripheral information acquired by the acquisition unit, and the acquisition unit has an acquisition accuracy of When the determination unit determines that the predetermined standard is not satisfied, automatic driving is performed based on the map information so as to guide the vehicle to a stop where the vehicle can be safely stopped. In this aspect, the vehicle control device preferably places the vehicle at a stop where the vehicle can be safely stopped based on the map information even if the acquisition accuracy of the acquisition unit that acquires the peripheral information does not satisfy the predetermined standard. Induce. Thereby, the vehicle control device can automatically drive to the stop point while suitably preventing malfunction due to the use of an acquisition unit with low acquisition accuracy.
 上記車両制御装置の一態様では、車両制御装置は、前記車両の環境情報を取得する環境情報取得部を更に備え、前記判定部は、前記環境情報に基づいて、前記取得部の取得精度が所定の基準を満たしているかを判定する。この態様により、車両制御装置は、取得部の取得精度が所定の基準を満たしているかを好適に判定することができる。 In one aspect of the vehicle control device, the vehicle control device further includes an environment information acquisition unit that acquires environment information of the vehicle, and the determination unit has a predetermined acquisition accuracy of the acquisition unit based on the environment information. Judgment of whether the criteria are satisfied. According to this aspect, the vehicle control device can preferably determine whether the acquisition accuracy of the acquisition unit satisfies a predetermined criterion.
 上記車両制御装置の他の一態様では、前記取得部は、カメラ又はライダの少なくとも一方を含み、前記環境情報は、前記車両が存在する地点での天候に関する情報である。一般に、カメラ及びライダは、天候によって精度が左右される。よって、この態様では、車両制御装置は、天候に基づき、取得部の取得精度が所定の基準を満たすか好適に判定することができる。 In another aspect of the vehicle control device, the acquisition unit includes at least one of a camera and a lidar, and the environmental information is information related to weather at a point where the vehicle exists. In general, the accuracy of cameras and riders depends on the weather. Therefore, in this aspect, the vehicle control device can preferably determine whether the acquisition accuracy of the acquisition unit satisfies a predetermined criterion based on the weather.
 上記車両制御装置の他の一態様では、前記判定部は、前記取得部の取得精度を検出する検出部を備え、車両制御装置は、前記判定部が前記所定の基準を満たしていないと判定した場合に、前記検出部が検出した取得精度に応じた前記車両の位置を含む地図上の範囲を特定する特定部と、前記特定部によって特定された前記範囲内から前記停車地点を抽出する抽出部と、更に備える。この態様により、車両制御装置は、取得部の取得精度に応じて、停車地点を好適に選定することができる。 In another aspect of the vehicle control device, the determination unit includes a detection unit that detects the acquisition accuracy of the acquisition unit, and the vehicle control device determines that the determination unit does not satisfy the predetermined criterion. A specifying unit that specifies a range on the map that includes the position of the vehicle according to the acquisition accuracy detected by the detection unit, and an extraction unit that extracts the stop point from the range specified by the specifying unit And further. According to this aspect, the vehicle control device can suitably select the stop point according to the acquisition accuracy of the acquisition unit.
 上記車両制御装置の他の一態様では、前記特定部は、前記検出部が検出した取得精度が高いほど、前記範囲が広くなるように前記範囲を特定する。このようにすることで、車両制御装置は、取得部の取得精度に応じて、停車地点を好適に選定することができる。 In another aspect of the vehicle control device, the specifying unit specifies the range such that the range becomes wider as the acquisition accuracy detected by the detection unit is higher. By doing in this way, the vehicle control apparatus can select a stop point suitably according to the acquisition accuracy of an acquisition part.
 上記車両制御装置の他の一態様では、前記取得部は、前記車両の周辺情報を取得する外界センサであり、前記自動運転制御部は、前記判定部が前記所定の基準を満たしていないと判定した場合には、前記地図情報と前記車両の状態を検出する内界センサの出力とに基づいて、前記自動運転を行う。一般に、外界センサは、環境等に応じて取得精度が変化しやすく、内界センサは、取得精度の変化が生じにくい。よって、車両制御装置は、外界センサの取得精度が低い場合には、内界センサと地図情報とに基づき自動運転を行うことで、誤作動が生じることなく好適に停車地点まで車両を走行させることができる。内界センサとしては高精度GPS(準天頂衛星測位などのcm級の位置精度)、ジャイロセンサ、加速度センサなどがある。 In another aspect of the vehicle control device, the acquisition unit is an external sensor that acquires peripheral information of the vehicle, and the automatic operation control unit determines that the determination unit does not satisfy the predetermined criterion. In this case, the automatic driving is performed based on the map information and the output of an internal sensor that detects the state of the vehicle. In general, the acquisition accuracy of the external sensor is likely to change depending on the environment or the like, and the acquisition accuracy of the internal sensor is unlikely to change. Therefore, when the acquisition accuracy of the external sensor is low, the vehicle control device performs the automatic driving based on the internal sensor and the map information, so that the vehicle can preferably travel to the stop point without causing malfunction. Can do. Examples of the internal sensor include high-accuracy GPS (cm-class position accuracy such as quasi-zenith satellite positioning), a gyro sensor, and an acceleration sensor.
 本発明の他の好適な実施形態によれば、車両制御装置は、車両の周辺情報を取得する複数の取得部と、前記複数の取得部のそれぞれについて、取得精度が所定の基準を満たしているかを判定する判定部と、前記車両を自動運転する自動運転制御部と、を備え、前記自動運転制御部は、前記判定部によって、前記複数の取得部のうち、前記所定の基準を満たしていないと判定されたものがある場合には、他の前記取得部によって取得された周辺情報に基づいて、安全に停車可能な停車地点に前記車両を誘導するように前記自動運転を行う。 According to another preferred embodiment of the present invention, the vehicle control device includes a plurality of acquisition units that acquire vehicle peripheral information, and whether each of the plurality of acquisition units satisfies an acquisition accuracy. And an automatic driving control unit that automatically drives the vehicle. The automatic driving control unit does not satisfy the predetermined criterion among the plurality of acquiring units by the determining unit. In the case where there is a vehicle that has been determined to be, the automatic operation is performed so that the vehicle is guided to a stop where the vehicle can be safely stopped based on the peripheral information acquired by the other acquisition unit.
 上記車両制御装置は、複数の取得部のうち、所定の基準を満たしていないと判定されたものがある場合には、他の取得部によって取得された周辺情報に基づいて、安全に停車可能な停車地点に車両を誘導するように自動運転を行う。この態様によっても、車両制御装置は、取得精度が低い取得部を用いることによる誤作動等を好適に防ぎつつ、停車地点まで自動運転することができる。 The vehicle control device can safely stop based on the peripheral information acquired by another acquisition unit when there is a determination that the predetermined standard is not satisfied among the plurality of acquisition units. Autonomous driving is performed to guide the vehicle to the stop point. Also according to this aspect, the vehicle control device can automatically drive to the stop point while suitably preventing malfunction due to the use of an acquisition unit with low acquisition accuracy.
 本発明の他の好適な実施形態によれば、地図情報を記憶する記憶部を有する車両制御装置が実行する制御方法であって、車両の周辺情報を取得する取得工程と、前記取得工程の取得精度が所定の基準を満たしているかを判定する判定工程と、前記車両の自動運転を行う自動運転工程と、を有し、前記自動運転工程は、前記判定工程が前記所定の基準を満たしている判定した場合には、前記取得工程が取得した周辺情報に基づいて前記自動運転を行い、前記判定工程が前記所定の基準を満たしていないと判定した場合には、前記地図情報に基づいて、安全に停車可能な停車地点に前記車両を誘導するように前記自動運転を行う。車両制御装置は、この制御方法を実行することで、取得精度が低い取得部を用いることによる誤作動等を好適に防ぎつつ、停車地点まで自動運転することができる。 According to another preferred embodiment of the present invention, there is provided a control method executed by a vehicle control device having a storage unit for storing map information, an acquisition step of acquiring vehicle peripheral information, and acquisition of the acquisition step A determination step for determining whether the accuracy satisfies a predetermined criterion, and an automatic driving step for automatically driving the vehicle, wherein the determination step satisfies the predetermined criterion If it is determined, the automatic operation is performed based on the peripheral information acquired by the acquisition step, and if it is determined that the determination step does not satisfy the predetermined standard, the safety information is determined based on the map information. The automatic driving is performed so that the vehicle is guided to a stop point where the vehicle can be stopped. By executing this control method, the vehicle control device can automatically drive to the stop point while suitably preventing malfunctions caused by using an acquisition unit with low acquisition accuracy.
 本発明の他の好適な実施形態によれば、地図情報を記憶する記憶部を参照するコンピュータが実行するプログラムであって、車両の周辺情報を取得する取得部と、前記取得部の取得精度が所定の基準を満たしているかを判定する判定部と、前記車両の自動運転を行う自動運転制御部として前記コンピュータを機能させ、前記自動運転制御部は、前記判定部が前記所定の基準を満たしている判定した場合には、前記取得部が取得した周辺情報に基づいて前記自動運転を行い、前記判定部が前記所定の基準を満たしていないと判定した場合には、前記地図情報に基づいて、安全に停車可能な停車地点に前記車両を誘導するように前記自動運転を行う。コンピュータは、このプログラムを実行することで、取得精度が低い取得部を用いることによる誤作動等を好適に防ぎつつ、停車地点まで自動運転することができる。好適には、上記プログラムは、記憶媒体に記憶される。 According to another preferred embodiment of the present invention, there is provided a program executed by a computer that refers to a storage unit that stores map information, the acquisition unit acquiring vehicle peripheral information, and the acquisition accuracy of the acquisition unit. A determination unit configured to determine whether a predetermined criterion is satisfied; and an automatic driving control unit configured to perform automatic driving of the vehicle. The automatic driving control unit is configured so that the determination unit satisfies the predetermined criterion. If it is determined, the automatic operation is performed based on the peripheral information acquired by the acquisition unit, and if the determination unit determines that the predetermined standard is not satisfied, based on the map information, The automatic driving is performed so that the vehicle is guided to a stop point where the vehicle can be safely stopped. By executing this program, the computer can automatically drive to the stop point while suitably preventing malfunctions caused by using an acquisition unit with low acquisition accuracy. Preferably, the program is stored in a storage medium.
 以下、図面を参照して本発明の好適な実施例について説明する。 Hereinafter, preferred embodiments of the present invention will be described with reference to the drawings.
 [自動運転システムの概要]
 図1は、本実施例に係る自動運転システムの概略構成である。自動運転システムは、各車両と共に移動する運転支援装置1と、各運転支援装置1とネットワーク9を介して通信を行うサーバ装置2とを備える。
[Outline of automated driving system]
FIG. 1 is a schematic configuration of an automatic driving system according to the present embodiment. The automatic driving system includes a driving support device 1 that moves together with each vehicle, and a server device 2 that communicates with each driving support device 1 via a network 9.
 運転支援装置1は、例えば据置型のナビゲーション装置又はスマートフォンなどの携帯端末であって、自動運転に必要な情報を含む詳細な地図情報(「高度化地図情報D1」とも呼ぶ。)をサーバ装置2から取得する。そして、運転支援装置1は、受信した高度化地図情報D1等に基づき、ルート案内や自動運転などの運転支援を行う。また、運転支援装置1は、カメラなどのセンサ部12の出力情報又は当該出力情報に基づき認識した情報(「センサ情報D2」とも呼ぶ。)をサーバ装置2へ送信する。なお、センサ情報D2には、運転支援装置1がセンサ情報D2を生成した時刻と場所とを示す時刻情報及び位置情報が含まれている。さらに、本実施例では、運転支援装置1は、センサ部12の精度が自動運転に必要な精度よりも低くなり、自動運転ができないと判断した場合に、車両を安全に停車することが可能な地点(単に「安全地点」とも呼ぶ。)へ車両を自動運転により導く。運転支援装置1は、本発明における「車両制御装置」の一例である。 The driving support device 1 is, for example, a stationary navigation device or a mobile terminal such as a smartphone, and detailed map information including information necessary for automatic driving (also referred to as “advanced map information D1”) is the server device 2. Get from. Then, the driving support device 1 performs driving support such as route guidance and automatic driving based on the received advanced map information D1 and the like. In addition, the driving support device 1 transmits output information of the sensor unit 12 such as a camera or information recognized based on the output information (also referred to as “sensor information D2”) to the server device 2. The sensor information D2 includes time information and position information indicating the time and place where the driving support device 1 generates the sensor information D2. Furthermore, in this embodiment, the driving support device 1 can stop the vehicle safely when it is determined that the accuracy of the sensor unit 12 is lower than the accuracy required for automatic driving and automatic driving is not possible. The vehicle is guided to a point (also simply referred to as “safety point”) by automatic driving. The driving support device 1 is an example of the “vehicle control device” in the present invention.
 サーバ装置2は、高度化地図DB(Database)21を記憶し、各運転支援装置1からセンサ情報D2を受信することで、高度化地図DB21の更新を行う。ここで、高度化地図DB21には、道路、車線、交差点、標識、及び建物等の位置及び形状に関する地図情報である道路データ、道路の渋滞等の交通状況を示す交通情報、事故発生や工事等に伴う車線の封鎖などの各道路の周辺状況を示す周辺状況情報、各道路での現在の天候又は予報された天候を示す気象情報等が含まれる。そして、サーバ装置2は、運転支援装置1からの要求に応じ、運転支援装置1が存在するエリアまたは運転支援装置1が設定したルート周辺に対応するデータを高度化地図DB21から抽出し、高度化地図情報D1として運転支援装置1へ送信する。 The server device 2 stores an advanced map DB (Database) 21 and receives the sensor information D2 from each driving support device 1 to update the advanced map DB 21. Here, in the advanced map DB 21, road data that is map information on the position and shape of roads, lanes, intersections, signs, buildings, etc., traffic information indicating traffic conditions such as road congestion, accident occurrence, construction, etc. The surrounding situation information indicating the surrounding situation of each road, such as the lane blockage accompanying the road, the weather information indicating the current weather or the predicted weather on each road, and the like are included. Then, in response to a request from the driving support device 1, the server device 2 extracts data corresponding to the area where the driving support device 1 exists or the route periphery set by the driving support device 1 from the advanced map DB 21, The map information D1 is transmitted to the driving support device 1.
 [ブロック構成]
 図2は、運転支援装置1の機能的構成を表すブロック図を示す。図2に示すように、運転支援装置1は、主に、通信部11と、センサ部12と、判定部13と、高度化地図情報処理部14と、ルート設定部15と、ユーザインターフェース(「ユーザI/F」とも表記する)16と、自動運転制御部17と、報知部18とを備える。
[Block configuration]
FIG. 2 is a block diagram illustrating a functional configuration of the driving support device 1. As shown in FIG. 2, the driving support device 1 mainly includes a communication unit 11, a sensor unit 12, a determination unit 13, an advanced map information processing unit 14, a route setting unit 15, a user interface (“ 16) (noted as “user I / F”), an automatic operation control unit 17, and a notification unit 18.
 通信部11は、サーバ装置2と通信を行い、高度化地図情報D1の受信処理やセンサ情報D2の送信処理などを実行する。なお、通信部11は、他の車両の運転支援装置1と車車間通信を行い、位置情報などの授受を行ってもよい。 The communication unit 11 communicates with the server device 2 and executes a reception process of the advanced map information D1, a transmission process of the sensor information D2, and the like. Note that the communication unit 11 may perform vehicle-to-vehicle communication with the driving support device 1 of another vehicle and exchange position information and the like.
 センサ部12は、外界センサ20と、内界センサ30とを有し、運転支援装置1と共に移動する車両(自車両)に関する情報を生成する。外界センサ20は、車両の周辺情報を取得するためのセンサであり、カメラ22と、ライダ(Lidar:Light Detection and Ranging、または、Laser Illuminated Detection And Ranging)23と、レーダ24と、ソナー25とを含む。外界センサ20は、本発明における「取得部」の一例である。内界センサ30は、自車両の状態を検出するセンサであって、GPS受信機などの衛星測位センサ31と、ジャイロセンサ32と、車速センサ33と、方向指示器の状態などの車両から種々の情報を取得するための車両制御信号センサ34とを含む。外界センサ20及び内界センサ30の出力信号は、判定部13及びルート設定部15に供給される。 The sensor unit 12 includes an external sensor 20 and an internal sensor 30 and generates information related to a vehicle (own vehicle) that moves together with the driving support device 1. The external sensor 20 is a sensor for acquiring vehicle periphery information, and includes a camera 22, a lidar (Lidar: LightdarDetection and Ranging) 23, a radar 24, and a sonar 25. Including. The external sensor 20 is an example of the “acquisition unit” in the present invention. The inner world sensor 30 is a sensor that detects the state of the host vehicle, and includes a satellite positioning sensor 31 such as a GPS receiver, a gyro sensor 32, a vehicle speed sensor 33, and a state indicator. And a vehicle control signal sensor 34 for acquiring information. Output signals from the external sensor 20 and the internal sensor 30 are supplied to the determination unit 13 and the route setting unit 15.
 判定部13は、センサ部12の出力信号に基づき、自車位置、自車両の状態、及び自車両の周辺状況の判定などを行う。例えば、自動運転に求められる高精度な自車位置を推定するため、判定部13は、衛星測位センサ31の出力に加え、カメラ22等の外界センサ20の出力に基づき走行中の車線の白線位置や車両前方の標識の位置などを認識することで、自車位置を推定する。また、判定部13は、車速センサ33や車両制御信号センサ34等の内界センサ30の出力に基づき、自車両の走行速度及び進行方向の情報などの車両の走行状態及び操作状態を認識する。さらに、判定部13は、外界センサ20の出力等に基づき、事故発生場所、封鎖された車線等、新設された車線等の走行中の道路の周辺状況を認識する。そして、判定部13は、センサ部12の出力に基づき認識した情報を、高度化地図情報処理部14へ供給する。また、判定部13は、センサ部12の出力情報又は当該情報に基づき認識した情報等を、センサ情報D2として通信部11に供給する。 The determination unit 13 determines the vehicle position, the state of the vehicle, and the surrounding situation of the vehicle based on the output signal of the sensor unit 12. For example, in order to estimate the position of the vehicle with high accuracy required for automatic driving, the determination unit 13 determines the position of the white line of the running lane based on the output of the external sensor 20 such as the camera 22 in addition to the output of the satellite positioning sensor 31. The vehicle position is estimated by recognizing the position of the sign in front of the vehicle and the vehicle. Further, the determination unit 13 recognizes the traveling state and operation state of the vehicle such as the traveling speed and traveling direction information of the host vehicle based on the outputs of the internal sensors 30 such as the vehicle speed sensor 33 and the vehicle control signal sensor 34. Furthermore, the determination unit 13 recognizes the surrounding situation of the road on which the lane such as the accident occurrence place, the blocked lane, etc. is running based on the output of the external sensor 20 or the like. Then, the determination unit 13 supplies information recognized based on the output of the sensor unit 12 to the advanced map information processing unit 14. Moreover, the determination part 13 supplies the output information of the sensor part 12, the information recognized based on the said information, etc. to the communication part 11 as sensor information D2.
 高度化地図情報処理部14は、サーバ装置2から受信した高度化地図情報D1や判定部13から受信した情報等に基づき所定の処理を実行するものであって、道路データ記憶部41と、周辺状況記憶部42と、交通情報記憶部43と、気象情報記憶部44と、自動運転可否判定部45と、安全地点検索部46とを有する。高度化地図情報処理部14は、本発明における「環境情報取得部」の一例である。 The advanced map information processing unit 14 executes predetermined processing based on the advanced map information D1 received from the server device 2, the information received from the determination unit 13, and the like. It has a situation storage unit 42, a traffic information storage unit 43, a weather information storage unit 44, an automatic driving availability determination unit 45, and a safety point search unit 46. The advanced map information processing unit 14 is an example of the “environment information acquisition unit” in the present invention.
 道路データ記憶部41は、予め地図情報として記憶されている道路データや施設情報などを記憶する。なお、道路データ記憶部41は、高度化地図情報D1に基づき、記憶する道路データ等を適宜更新してもよい。周辺状況記憶部42は、高度化地図情報D1または判定部13から受信した情報に基づく道路の周辺状況を示す情報を記憶する。 The road data storage unit 41 stores road data and facility information stored in advance as map information. The road data storage unit 41 may appropriately update the stored road data and the like based on the advanced map information D1. The surrounding situation storage unit 42 stores information indicating the surrounding situation of the road based on the advanced map information D1 or the information received from the determination unit 13.
 交通情報記憶部43は、高度化地図情報D1に含まれる渋滞や交通規制などの交通情報を記憶する。なお、交通情報記憶部43は、VICS(登録商標、Vehicle Information Communication System)センタから配信される渋滞や交通規制などの交通情報を受信して記憶してもよい。気象情報記憶部44は、高度化地図情報D1に含まれる気象情報、又は各地の気象情報を管理する不図示のサーバから通信部11が受信した自車位置周辺の気象情報を記憶する。 The traffic information storage unit 43 stores traffic information such as traffic jams and traffic restrictions included in the advanced map information D1. The traffic information storage unit 43 may receive and store traffic information such as traffic jams and traffic regulations distributed from a VICS (registered trademark, Vehicle Information Communication System) center. The meteorological information storage unit 44 stores the meteorological information included in the advanced map information D1 or the meteorological information around the vehicle position received by the communication unit 11 from a server (not shown) that manages the meteorological information of each place.
 自動運転可否判定部45は、道路データ記憶部41、周辺状況記憶部42、交通情報記憶部43、及び気象情報記憶部44が記憶する情報(「環境情報」と総称する。)に基づき、自動運転の可否を判定する。具体的には、自動運転可否判定部45は、外界センサ20の出力に基づく白線などの走行上の目印、及び、前方車両や歩行者などの障害物等の検出精度(単に「センサ精度」とも呼ぶ。)を算出する。そして、自動運転可否判定部45は、算出したセンサ精度が自動運転に必要な所定の精度(「基準精度」とも呼ぶ。)に達していない場合に、自動運転が実行できないと判定する。上述の基準精度は、本発明における「所定の基準」の一例である。センサ精度の算出方法については、[センサ精度の算出例]のセクションで詳しく説明する。自動運転可否判定部45は、本発明における「判定部」の一例である。 The automatic driving availability determination unit 45 is automatically based on information stored in the road data storage unit 41, the surrounding situation storage unit 42, the traffic information storage unit 43, and the weather information storage unit 44 (collectively referred to as “environment information”). Judge whether driving is possible. Specifically, the automatic driving permission / inhibition determination unit 45 detects a traveling mark such as a white line based on the output of the external sensor 20 and an accuracy of detecting an obstacle such as a preceding vehicle or a pedestrian (simply referred to as “sensor accuracy”). Calculated). Then, the automatic driving availability determination unit 45 determines that the automatic driving cannot be performed when the calculated sensor accuracy does not reach a predetermined accuracy (also referred to as “reference accuracy”) necessary for the automatic driving. The above-described reference accuracy is an example of the “predetermined reference” in the present invention. The method for calculating the sensor accuracy will be described in detail in the section “Example of sensor accuracy calculation”. The automatic driving availability determination unit 45 is an example of the “determination unit” in the present invention.
 安全地点検索部46は、安全地点を検索する。ここで、安全地点は、安全に駐車可能な地点であって、例えば、駐車場、空き地、駐車可能な施設などが該当する。安全地点検索部46は、例えば、道路データ記憶部41が記憶する施設情報等に基づき、自車位置周辺の安全地点を検索する。 The safe spot search unit 46 searches for a safe spot. Here, the safety point is a point where parking is possible safely, and corresponds to, for example, a parking lot, a vacant lot, a parkingable facility, and the like. The safe spot searching unit 46 searches for a safe spot around the vehicle position based on, for example, facility information stored in the road data storage unit 41.
 ルート設定部15は、ユーザI/F16により入力された目的地までのルートを検索する。本実施例では、後述するように、ルート設定部15は、目的地が設定された場合に、時間、距離、料金等の諸条件を勘案した推奨ルートを探索する。ルート設定部15は、本発明における「経路探索部」の一例である。 The route setting unit 15 searches for a route to the destination input by the user I / F 16. In this embodiment, as will be described later, when the destination is set, the route setting unit 15 searches for a recommended route taking into account various conditions such as time, distance, and fee. The route setting unit 15 is an example of the “route search unit” in the present invention.
 ユーザI/F16は、ユーザが目的地を入力したり、自動運転の設定や解除等を指定したりするためのボタン、スイッチ、タッチパネル、リモートコントローラ等のユーザインターフェースである。 The user I / F 16 is a user interface such as buttons, switches, a touch panel, and a remote controller for the user to input a destination and to specify setting or cancellation of automatic driving.
 自動運転制御部17は、自動運転の設定がなされている場合に、ルート設定部15が設定したルートに基づき、車両の自動運転を行う。自動運転中では、自動運転制御部17は、例えば、判定部13が認識した自車両の周辺状況などに基づき、アクセル量、ブレーキ量、操舵角などを制御することによって車両を制御する。また、自動運転制御部17は、自動運転可否判定部45により外界センサ20のセンサ精度が基準精度を満たさないと判定された場合に、安全地点検索部46が検索した安全地点から、1つの安全地点を選択して当該安全地点へ自動運転を行う。なお、安全地点の選定方法については、[安全地点の選定]のセクションで詳しく説明する。そして、センサ精度が基準精度を満たさなくなった後であって安全地点に到達するまでは、自動運転制御部17は、外界センサ20の出力情報を用いることなく、車両の自動運転を行う。即ち、この場合、自動運転制御部17は、道路データ記憶部41が記憶する情報と、内界センサ30の出力から認識される車両の状態(例えば自車位置及び進行方向)とに基づき、自動運転を継続する。自動運転制御部17は、本発明における「自動運転制御部」、「特定部」及び「抽出部」の一例である。 The automatic driving control unit 17 performs automatic driving of the vehicle based on the route set by the route setting unit 15 when automatic driving is set. During automatic driving, the automatic driving control unit 17 controls the vehicle by controlling the accelerator amount, the brake amount, the steering angle, and the like based on, for example, the surrounding situation of the host vehicle recognized by the determining unit 13. In addition, the automatic driving control unit 17 determines one safety point from the safety points searched by the safety point searching unit 46 when the automatic driving propriety determining unit 45 determines that the sensor accuracy of the external sensor 20 does not satisfy the reference accuracy. Select a point and perform automatic driving to the safety point. The safe point selection method will be explained in detail in the section [Select Safe Point]. Then, after the sensor accuracy does not satisfy the reference accuracy and until the safety point is reached, the automatic operation control unit 17 performs the automatic operation of the vehicle without using the output information of the external sensor 20. In other words, in this case, the automatic operation control unit 17 automatically performs the automatic operation based on the information stored in the road data storage unit 41 and the vehicle state (for example, the own vehicle position and the traveling direction) recognized from the output of the internal sensor 30. Continue driving. The automatic operation control unit 17 is an example of the “automatic operation control unit”, “specification unit”, and “extraction unit” in the present invention.
 報知部18は、ディスプレイや音声出力装置であって、設定されたルートに関する情報やその他の運転支援に関する情報の表示や音声出力を行う。 The notification unit 18 is a display or an audio output device, and displays information about the set route and other information about driving support and outputs audio.
 なお、判定部13、高度化地図情報処理部14、ルート設定部15、及び自動運転制御部17を構成するCPUは、本発明におけるプログラムを実行するコンピュータの一例である。 In addition, CPU which comprises the determination part 13, the advanced map information processing part 14, the route setting part 15, and the automatic driving | operation control part 17 is an example of the computer which performs the program in this invention.
 [センサ精度の算出例]
 次に、自動運転可否判定部45が実行する外界センサ20のセンサ精度の算出方法について説明する。
[Sensor accuracy calculation example]
Next, a method for calculating the sensor accuracy of the external sensor 20 executed by the automatic driving availability determination unit 45 will be described.
 自動運転可否判定部45は、環境情報及び現在時刻等に基づき、各外界センサ20のセンサ精度を算出し、いずれかの外界センサ20のセンサ精度が予め定めた基準精度に満たない場合に、自動運転が実行できないと判定する。 The automatic driving availability determination unit 45 calculates the sensor accuracy of each external sensor 20 based on the environmental information, the current time, and the like. When the sensor accuracy of any of the external sensors 20 is less than a predetermined reference accuracy, It is determined that the operation cannot be executed.
 図3は、環境を決定するパラメータの一例である天候及び時間帯ごとのカメラ22及びライダ23のセンサ精度を示すテーブルである。図3に示す各センサ精度は、標準的なセンサ精度の場合に「1.0」となるように設定されている。 FIG. 3 is a table showing the sensor accuracy of the camera 22 and the lidar 23 for each weather and time zone, which is an example of a parameter for determining the environment. Each sensor accuracy shown in FIG. 3 is set to be “1.0” in the case of standard sensor accuracy.
 図3に示すパラメータごとのセンサ精度について補足説明する。一般に、カメラ22が生成する画像に基づく前方車両や白線等の対象物への認識精度は、晴れ、曇り、雨、雪の順に低くなる。よって、図3では、カメラ22のセンサ精度は、晴れ、曇り、雨、雪の順に低く設定されている。また、ライダ23が生成するデータに基づく対象物への認識精度は、一般に、曇り、晴れ、雨及び雪の順に低くなる。よって、図3では、ライダ23のセンサ精度は、曇り、晴れ、雨及び雪の順に低く設定されている。また、一般に、カメラ22の場合には、昼間の場合に比べて夜間の方が対象物への認識精度が低くなり、ライダ23の場合には、昼間の場合と比べて太陽光などの外光による影響が無い夜間での対象物への認識精度が高くなる。よって、図3では、カメラ22のセンサ精度は、昼間よりも夜間の方が低く設定され、ライダ23のセンサ精度は、夜間よりも昼間の方が低く設定されている。 Supplementary explanation of sensor accuracy for each parameter shown in FIG. In general, the recognition accuracy for an object such as a forward vehicle or a white line based on an image generated by the camera 22 decreases in the order of clear, cloudy, rainy, and snow. Therefore, in FIG. 3, the sensor accuracy of the camera 22 is set to be lower in the order of clear, cloudy, rainy, and snowy. In addition, the recognition accuracy for an object based on data generated by the lidar 23 generally decreases in the order of cloudy, clear, rain, and snow. Therefore, in FIG. 3, the sensor accuracy of the lidar 23 is set to be lower in the order of cloudy, clear, rain, and snow. In general, in the case of the camera 22, the recognition accuracy for the object is lower at night than in the daytime, and in the case of the lidar 23, external light such as sunlight is compared with that in the daytime. The recognition accuracy to the target object at night without the influence of is increased. Therefore, in FIG. 3, the sensor accuracy of the camera 22 is set lower at night than at daytime, and the sensor accuracy of the lidar 23 is set lower at daytime than at night.
 自動運転可否判定部45は、図3に示すようなパラメータごとの各外界センサ20のセンサ精度を示すテーブルを予め記憶しておき、環境情報及び時刻情報等に基づき、外界センサ20ごとに、パラメータごとのセンサ精度を認識する。そして、自動運転可否判定部45は、例えば、パラメータごとのセンサ精度をセンサごとに乗算又は加算した値を、当該センサのセンサ精度とみなし、予め記憶した基準精度と比較する。 The automatic driving propriety determination unit 45 stores in advance a table indicating the sensor accuracy of each external sensor 20 for each parameter as shown in FIG. 3, and sets the parameter for each external sensor 20 based on environmental information and time information. Recognize the accuracy of each sensor. And the automatic driving | running | working availability determination part 45 considers the value which multiplied or added the sensor precision for every parameter for every sensor as the sensor precision of the said sensor, for example, and compares it with the reference | standard precision memorize | stored beforehand.
 なお、自動運転可否判定部45は、天候が雨又は雪の場合には、雨量や積雪量に応じてさらにセンサ精度を細分化して図3のテーブルに記憶してもよい。この場合、自動運転可否判定部45は、雨量又は積雪量が多いほど、天候に関する対象のセンサ精度を低く設定する。また、自動運転可否判定部45は、路面凍結や濃霧などのセンサ精度を悪化させる特殊な天候条件が存在する場合には、これらの天候条件が存在しない場合よりも、天候に関するセンサ精度を低く設定してもよい。 In addition, when the weather is rainy or snowy, the automatic driving propriety determination unit 45 may further subdivide the sensor accuracy in accordance with the amount of rain or the amount of snow and store it in the table of FIG. In this case, the automatic driving availability determination unit 45 sets the target sensor accuracy related to the weather to be lower as the amount of rain or the amount of snow is larger. In addition, when there is a special weather condition that deteriorates the sensor accuracy such as road surface freezing or dense fog, the automatic driving availability determination unit 45 sets the sensor accuracy related to the weather lower than the case where these weather conditions do not exist. May be.
 また、自動運転可否判定部45は、環境情報に基づき、現在走行している区間が、白線や標識などの自動運転に必要な目印が存在しない区間であると認識した場合には、当該目印を検出するためのセンサに対するセンサ精度を基準精度よりも低い値に設定する。 Further, when the automatic driving propriety determination unit 45 recognizes that the currently traveling section is a section where there is no mark necessary for automatic driving such as a white line or a sign based on the environment information, the automatic driving propriety determination section 45 displays the mark. The sensor accuracy for the sensor for detection is set to a value lower than the reference accuracy.
 [安全地点の選定]
 次に、センサ精度が基準精度に満たない場合の誘導先となる安全地点の選定方法について説明する。安全地点検索部46は、算出した外界センサ20のセンサ精度に応じた距離(「許容距離Dr」とも呼ぶ。)を設定し、許容距離Drよりも近くに存在する安全地点を、誘導先の安全地点として選定する。この場合、許容距離Drは、算出された外界センサ20のセンサ精度が低いほど、短くなるように設定される。この場合、安全地点検索部46は、例えば、各外界センサ20のセンサ精度の平均値又は最低値等に基づき、許容距離Drを設定する。
[Selection of safety points]
Next, a method for selecting a safety point that is a guidance destination when the sensor accuracy is less than the reference accuracy will be described. The safe point search unit 46 sets a distance (also referred to as “allowable distance Dr”) according to the calculated sensor accuracy of the external sensor 20, and sets a safe point that is closer than the allowable distance Dr to the safety of the guidance destination. Select as a point. In this case, the allowable distance Dr is set to be shorter as the calculated sensor accuracy of the external sensor 20 is lower. In this case, the safe point search unit 46 sets the allowable distance Dr based on, for example, the average value or the minimum value of the sensor accuracy of each external sensor 20.
 図4は、誘導先として選定可能な安全地点の範囲を示す図である。図4のマーク50は、自動運転可否判定部45によりセンサ精度が基準精度に満たないと判定されたときのルート53上の自車位置を示す。 FIG. 4 is a diagram showing a range of safety points that can be selected as a guide destination. A mark 50 in FIG. 4 indicates the position of the vehicle on the route 53 when the automatic driving availability determination unit 45 determines that the sensor accuracy is less than the reference accuracy.
 図4の例では、自動運転可否判定部45は、センサ精度が基準精度に比較的近い所定値「V1」の場合に、許容距離Drをセンサ精度に応じた距離「Dr1」に設定し、自車位置を中心とした半径Dr1の円エリア「A1」を、誘導先として選定可能な安全地点の範囲として認識する。そして、この場合、自動運転可否判定部45は、エリアA1内にある安全地点A~Cから、1の安全地点を誘導先の安全地点として選択する。例えば、この場合、自動運転可否判定部45は、エリアA1内にある安全地点のうち、自車位置からの距離が最も近い安全地点を選択してもよく、駐車料金が最も安い安全地点を選択してもよく、施設数が最も多い安全地点を選択してもよい。 In the example of FIG. 4, when the sensor accuracy is a predetermined value “V1” that is relatively close to the reference accuracy, the automatic driving propriety determination unit 45 sets the allowable distance Dr to the distance “Dr1” according to the sensor accuracy. A circular area “A1” having a radius Dr1 centered on the vehicle position is recognized as a range of safe spots that can be selected as a guide destination. In this case, the automatic driving propriety determination unit 45 selects one safety point as the guidance destination safety point from the safety points A to C in the area A1. For example, in this case, the automatic driving propriety determination unit 45 may select a safety point closest to the vehicle position from among the safety points in the area A1, and select a safety point with the lowest parking fee. Alternatively, a safe spot with the largest number of facilities may be selected.
 一方、自動運転可否判定部45は、センサ精度が所定値V1よりも低い所定値「V2」の場合、許容距離Drを距離Dr1よりも短い距離「Dr2」に設定し、自車位置を中心とした半径Dr2の円エリア「A2」を、誘導先として選定可能な安全地点の範囲として認識する。そして、この場合、自動運転可否判定部45は、エリアA2内にある安全地点B~Cから、1つの安全地点を誘導先の安全地点として選択する。 On the other hand, when the sensor accuracy is the predetermined value “V2” lower than the predetermined value V1, the automatic driving availability determination unit 45 sets the allowable distance Dr to a distance “Dr2” shorter than the distance Dr1, and sets the vehicle position as the center. The circle area “A2” having the radius Dr2 is recognized as a safe point range that can be selected as a guide destination. In this case, the automatic driving availability determination unit 45 selects one safety point from the safety points B to C in the area A2 as the safety point of the guidance destination.
 [処理フロー]
 図5は、自動運転を実行中に運転支援装置1が実行する処理手順を示すフローチャートである。運転支援装置1は、図5に示すフローチャートの処理を、ユーザI/F16により目的地が指定され、自動運転の走行ルートをルート設定部15が設定した後に実行する。
[Processing flow]
FIG. 5 is a flowchart showing a processing procedure executed by the driving support device 1 during execution of automatic driving. The driving support device 1 executes the processing of the flowchart shown in FIG. 5 after the destination is designated by the user I / F 16 and the route setting unit 15 sets the traveling route for automatic driving.
 まず、自動運転制御部17は、設定された走行ルートに基づき、自動運転を実行する(ステップS101)。そして、判定部13は、センサ部12の出力に基づき、自車位置、自車の状態、及び周辺状況の推定を行う(ステップS102)。また、判定部13は、上述の推定結果を示す情報又はセンサ部12の出力情報を、センサ情報D2として通信部11によりサーバ装置2へ送信する。 First, the automatic operation control unit 17 executes automatic operation based on the set travel route (step S101). Then, the determination unit 13 estimates the own vehicle position, the state of the own vehicle, and the surrounding situation based on the output of the sensor unit 12 (step S102). Moreover, the determination part 13 transmits the information which shows the above-mentioned estimation result, or the output information of the sensor part 12 to the server apparatus 2 by the communication part 11 as sensor information D2.
 次に、高度化地図情報処理部14は、通信部11を介して、サーバ装置2から高度化地図情報D1を受信する(ステップS103)。そして、高度化地図情報処理部14は、受信した高度化地図情報D1を、環境情報として、道路データ記憶部41、周辺状況記憶部42、交通情報記憶部43、及び気象情報記憶部44に記憶させる。 Next, the advanced map information processing unit 14 receives the advanced map information D1 from the server device 2 via the communication unit 11 (step S103). And the advanced map information processing part 14 memorize | stores the received advanced map information D1 in the road data storage part 41, the periphery condition memory | storage part 42, the traffic information storage part 43, and the weather information storage part 44 as environmental information. Let
 そして、安全地点検索部46は、安全地点の検索を行う(ステップS104)。具体的には、安全地点検索部46は、後述するステップS108で車両を誘導する安全地点の候補となる安全地点を検索する。この場合、安全地点検索部46は、例えば、自車位置から所定距離以内のエリアで駐車可能なエリアを、安全地点として検索する。 Then, the safe spot search unit 46 searches for a safe spot (step S104). Specifically, the safe spot search unit 46 searches for a safe spot that is a candidate for a safe spot to guide the vehicle in step S108 described later. In this case, for example, the safe spot search unit 46 searches for an area that can be parked within an area within a predetermined distance from the vehicle position as a safe spot.
 次に、自動運転可否判定部45は、環境情報及び時刻情報等に基づき、自動運転に用いる各外界センサ20のセンサ精度を算出する(ステップS105)。そして、自動運転可否判定部45は、センサ精度が基準精度に満たない外界センサ20が存在するか否か判定する(ステップS106)。そして、自動運転可否判定部45は、センサ精度が基準精度に満たない外界センサ20が存在すると判断した場合(ステップS106;Yes)、自動運転制御部17は、全ての外界センサ20を用いずに自動運転を継続する(ステップS107)。具体的には、自動運転制御部17は、内界センサ30の出力情報及び道路データ記憶部41等に記憶された地図情報のみに基づいて、自動運転を継続する。これにより、自動運転制御部17は、精度が悪化した外界センサ20の出力に基づき自動運転を行うことを防ぎ、誤作動等を好適に抑制することができる。一方、センサ精度が基準精度に満たない外界センサ20が存在しない場合(ステップS106;No)、即ち、全ての外界センサ20のセンサ精度が基準精度以上の場合、ステップS101へ処理を戻す。この場合、自動運転制御部17は、通常通り、外界センサ20の出力情報を勘案して自動運転を継続する。 Next, the automatic driving availability determination unit 45 calculates the sensor accuracy of each external sensor 20 used for automatic driving based on the environmental information and time information (step S105). Then, the automatic driving availability determination unit 45 determines whether there is an external sensor 20 whose sensor accuracy is less than the reference accuracy (step S106). When the automatic driving availability determination unit 45 determines that there is an external sensor 20 whose sensor accuracy is less than the reference accuracy (step S106; Yes), the automatic driving control unit 17 does not use all the external sensors 20. The automatic operation is continued (step S107). Specifically, the automatic driving control unit 17 continues the automatic driving based only on the output information of the inner world sensor 30 and the map information stored in the road data storage unit 41 and the like. Thereby, the automatic driving | operation control part 17 can prevent performing an automatic driving | operation based on the output of the external field sensor 20 whose accuracy deteriorated, and can suppress malfunction etc. suitably. On the other hand, when there is no external sensor 20 whose sensor accuracy is less than the reference accuracy (step S106; No), that is, when the sensor accuracy of all the external sensors 20 is equal to or higher than the reference accuracy, the process returns to step S101. In this case, the automatic operation control unit 17 continues the automatic operation in consideration of the output information of the external sensor 20 as usual.
 そして、ステップS107で外界センサ20を用いない自動運転に切り替えた場合、報知部18は、自動運転を解除する入力を促す警告を出力する(ステップS108)。そして、運転支援装置1は、手動運転に切り替える旨の操作をユーザI/F16により検知したか否か判定する(ステップS109)。そして、運転支援装置1は、ステップS108の警告後所定時間以内に手動運転へ切り替える操作を検知した場合(ステップS109;Yes)、自動運転を終了し、フローチャートの処理を終了する。 And when it switches to the automatic driving | operation which does not use the external sensor 20 by step S107, the alerting | reporting part 18 outputs the warning which prompts the input which cancels | releases automatic driving | operation (step S108). Then, the driving support device 1 determines whether or not the user I / F 16 has detected an operation for switching to manual driving (step S109). Then, when the driving support device 1 detects an operation to switch to manual driving within a predetermined time after the warning in step S108 (step S109; Yes), the driving support device 1 ends the automatic driving and ends the processing of the flowchart.
 一方、運転支援装置1は、ステップS108の警告後所定時間以内に手動運転へ切り替える操作を検知しなかった場合(ステップS109;No)、自動運転制御部17は、ステップS105で算出したセンサ精度に応じた許容距離Drの範囲内に存在する安全地点へ、自動運転により車両を誘導する(ステップS110)。この場合、自動運転制御部17は、ステップS105で算出したセンサ精度に基づき許容距離Drを決定し、ステップS104で検索した安全地点のうち、自車位置を中心として許容距離Drを半径とする円エリア内の安全地点を誘導先の安全地点として設定する。 On the other hand, if the driving support device 1 does not detect an operation to switch to manual driving within a predetermined time after the warning in step S108 (step S109; No), the automatic driving control unit 17 sets the sensor accuracy calculated in step S105. The vehicle is guided by automatic driving to a safety point that exists within the corresponding allowable distance Dr (step S110). In this case, the automatic driving control unit 17 determines the allowable distance Dr based on the sensor accuracy calculated in step S105, and among the safety points searched in step S104, a circle having the allowable distance Dr as a radius centered on the own vehicle position. Set the safety point in the area as the safety point of the destination.
 以上説明したように、本実施例に係る運転支援装置1は、地図情報を記憶し、外界センサ20により車両の周辺情報を取得する。そして、運転支援装置1は、外界センサ20のセンサ精度が基準精度を満たしていると判定した場合には、外界センサ20が取得した周辺情報に基づいて自動運転を行い、外界センサ20のセンサ精度が基準精度を満たしていないと判定した場合には、地図情報に基づいて、安全地点に車両を誘導するように自動運転を行う。これにより、運転支援装置1は、センサ精度が低い外界センサ20を用いることによる誤作動等を好適に防ぎつつ、停車地点まで好適に自動運転することができる。 As described above, the driving support device 1 according to the present embodiment stores map information and acquires the surrounding information of the vehicle by the external sensor 20. When the driving support device 1 determines that the sensor accuracy of the external sensor 20 satisfies the reference accuracy, the driving support device 1 performs automatic driving based on the peripheral information acquired by the external sensor 20, and the sensor accuracy of the external sensor 20. When it is determined that the vehicle does not satisfy the reference accuracy, automatic driving is performed so as to guide the vehicle to a safe spot based on the map information. As a result, the driving support device 1 can appropriately automatically drive to the stop point while suitably preventing malfunction due to the use of the external sensor 20 having low sensor accuracy.
 [変形例]
 次に、実施例に好適な変形例について説明する。以下の変形例は、任意に組み合わせて上述の実施例に適用してもよい。
[Modification]
Next, a modified example suitable for the embodiment will be described. The following modifications may be applied in any combination to the above-described embodiments.
 (変形例1)
 図5のステップS107では、自動運転制御部17は、ステップS105で算出したセンサ精度が基準精度に満たないセンサが存在する場合に、全ての外界センサ20を使用せずに自動運転を継続した。これに代えて、自動運転制御部17は、自動運転に用いる外界センサ20のうち、ステップS105で算出したセンサ精度が基準精度に満たないセンサのみを使用せずに自動運転を継続してもよい。
(Modification 1)
In step S107 in FIG. 5, the automatic operation control unit 17 continues the automatic operation without using all the external sensors 20 when there is a sensor whose sensor accuracy calculated in step S105 is less than the reference accuracy. Instead of this, the automatic operation control unit 17 may continue the automatic operation without using only the sensor whose sensor accuracy calculated in step S105 does not satisfy the reference accuracy among the external sensors 20 used for the automatic operation. .
 図3のテーブルに示すように、例えばカメラ22とライダ23とでは、好適な天候が異なるため、いずれか一方のセンサ精度が基準精度を下回る可能性もある。この場合であっても、本変形例によれば、自動運転制御部17は、センサ精度が基準精度を下回ったセンサのみを除外して安全地点までの自動運転を継続する。即ち、自動運転制御部17は、センサ精度が基準精度を満たしている外界センサ20を引き続き用いて安全地点までの自動運転を継続する。これにより、運転支援装置1は、誤作動等を生じさせることなく好適に安全地点まで自動運転を継続することができる。 As shown in the table of FIG. 3, for example, the camera 22 and the lidar 23 have different suitable weather, so that either one of the sensor accuracy may be lower than the reference accuracy. Even in this case, according to the present modified example, the automatic operation control unit 17 continues the automatic operation up to the safety point by excluding only the sensors whose sensor accuracy is lower than the reference accuracy. That is, the automatic operation control unit 17 continues the automatic operation up to the safety point by continuously using the external sensor 20 whose sensor accuracy satisfies the reference accuracy. Thereby, the driving assistance apparatus 1 can continue an automatic driving | operation to a safe point suitably, without producing a malfunction etc.
 (変形例2)
 運転支援装置1は、ユーザI/F16により指定された目的地までのルートを探索して自動運転を行った。これに代えて、運転支援装置1は、目的地が指定されていない場合であっても、過去の車両の走行履歴を参照することで、車両が進むルートを推定し、推定したルートに基づき自動運転を行ってもよい。この場合、運転支援装置1は、車両が送信した道路の情報を走行履歴として記憶しておき、走行履歴を参照して公知の統計的手法に基づき、走行するルートを予測する。そして、運転支援装置1は、例えば、予測したルートの確度が所定値以上の場合に、予測したルートに基づき自動運転を行う。
(Modification 2)
The driving support device 1 searches for a route to the destination designated by the user I / F 16 and performs automatic driving. Instead, the driving support device 1 estimates the route traveled by the vehicle by referring to the past vehicle travel history even when the destination is not specified, and automatically operates based on the estimated route. You may drive. In this case, the driving support device 1 stores road information transmitted by the vehicle as a travel history, and predicts a travel route based on a known statistical method with reference to the travel history. For example, when the accuracy of the predicted route is equal to or higher than a predetermined value, the driving support device 1 performs automatic driving based on the predicted route.
 (変形例3)
 図1に示す構成に代えて、自動運転システムは、サーバ装置2を有しなくともよい。この場合、運転支援装置1は、予め記憶した地図情報及びセンサ部12の出力情報等に基づき自動運転を行う。なお、この場合、運転支援装置1は、例えば、図示しない気象情報を管理するサーバから、センサ精度の算出に必要な気象情報を受信してもよく、雨滴センサなどのセンサの出力情報に基づき、自車位置での天候を推定してもよい。
(Modification 3)
Instead of the configuration illustrated in FIG. 1, the automatic driving system may not include the server device 2. In this case, the driving support device 1 performs automatic driving based on map information stored in advance, output information of the sensor unit 12, and the like. In this case, the driving support device 1 may receive, for example, weather information necessary for calculating sensor accuracy from a server that manages weather information (not shown), and based on output information of a sensor such as a raindrop sensor, You may estimate the weather in the own vehicle position.
 (変形例4)
 図5のフローチャートは一例であり、本発明が適用可能な処理手順は、これに限定されない。
(Modification 4)
The flowchart of FIG. 5 is an example, and the processing procedure to which the present invention is applicable is not limited to this.
 例えば、安全地点検索部46は、ステップS104で安全地点を繰り返し検索する代わりに、センサ精度が基準精度に満たないセンサがあるとステップS106で判定された後に、安全地点を検索してもよい。他の例では、自動運転制御部17は、センサ精度が基準精度に満たないセンサがあるとステップS106で判定された後、ステップS108で自動運転を解除する警告を行うことなく直ちに安全地点への誘導を開始してもよい。 For example, instead of repeatedly searching for a safety point in step S104, the safety point search unit 46 may search for a safety point after it is determined in step S106 that there is a sensor whose sensor accuracy is less than the reference accuracy. In another example, after determining that there is a sensor whose sensor accuracy is less than the reference accuracy in step S106, the automatic operation control unit 17 immediately sets a safe point without performing a warning for canceling the automatic operation in step S108. Guidance may begin.
 (変形例5)
 実施例で説明したサーバ装置2の処理を、複数のサーバ装置からなるサーバシステムが実行してもよい。この場合、各サーバ装置は、予め割り当てられた処理を実行するのに必要な情報を他のサーバから適宜受信して所定の処理を実行する。
(Modification 5)
The processing of the server device 2 described in the embodiment may be executed by a server system including a plurality of server devices. In this case, each server apparatus appropriately receives information necessary for executing a process assigned in advance from another server and executes a predetermined process.
 (変形例6)
 [安全地点の選定]のセクションでは、自動運転制御部17は、自車位置を中心として許容距離Drを半径とする円エリア内に存在する安全地点へ車両を誘導した。しかし、本発明が適用可能な安全地点の選定方法は、これに限定されない。これに代えて、例えば、自動運転制御部17は、自車位置からの走行距離が許容距離Dr以内となる範囲を認識し、当該範囲内に存在する安全地点を、誘導先の安全地点として選定してもよい。
(Modification 6)
In the section “Selecting a safe spot”, the automatic driving control unit 17 guides the vehicle to a safe spot that exists in a circular area with the allowable distance Dr as a radius around the own vehicle position. However, the method for selecting a safe spot to which the present invention is applicable is not limited to this. Instead of this, for example, the automatic driving control unit 17 recognizes a range in which the travel distance from the vehicle position is within the allowable distance Dr, and selects a safety point existing within the range as the safety point of the guidance destination. May be.
 1 運転支援装置
 2 サーバ装置
 9 ネットワーク
 11 通信部
 12 センサ部
 13 判定部
 14 高度化地図情報処理部
 15 ルート設定部
 16 ユーザI/F
 17 自動運転制御部
 18 報知部
 21 高度化地図DB
DESCRIPTION OF SYMBOLS 1 Driving assistance apparatus 2 Server apparatus 9 Network 11 Communication part 12 Sensor part 13 Determination part 14 Sophisticated map information processing part 15 Route setting part 16 User I / F
17 Automatic Operation Control Unit 18 Notification Unit 21 Sophisticated Map DB

Claims (10)

  1.  地図情報を記憶する記憶部と、
     車両の周辺情報を取得する取得部と、
     前記取得部の取得精度が所定の基準を満たしているかを判定する判定部と、
     前記車両の自動運転を行う自動運転制御部と、
    を備え、
      前記自動運転制御部は、
     前記判定部が前記所定の基準を満たしている判定した場合には、前記取得部が取得した周辺情報に基づいて前記自動運転を行い、
     前記判定部が前記所定の基準を満たしていないと判定した場合には、前記地図情報に基づいて、安全に停車可能な停車地点に前記車両を誘導するように前記自動運転を行うことを特徴とする車両制御装置。
    A storage unit for storing map information;
    An acquisition unit for acquiring vehicle periphery information;
    A determination unit that determines whether the acquisition accuracy of the acquisition unit satisfies a predetermined criterion;
    An automatic driving control unit for automatically driving the vehicle;
    With
    The automatic operation control unit is
    When it is determined that the determination unit satisfies the predetermined criterion, the automatic operation is performed based on the peripheral information acquired by the acquisition unit,
    When the determination unit determines that the predetermined standard is not satisfied, the automatic driving is performed based on the map information so as to guide the vehicle to a stop point where the vehicle can be stopped safely. Vehicle control device.
  2.  前記車両の環境情報を取得する環境情報取得部を更に備え、
     前記判定部は、前記環境情報に基づいて、前記取得部の取得精度が所定の基準を満たしているかを判定することを特徴とする請求項1に記載の車両制御装置。
    An environmental information acquisition unit for acquiring environmental information of the vehicle;
    The vehicle control device according to claim 1, wherein the determination unit determines whether the acquisition accuracy of the acquisition unit satisfies a predetermined criterion based on the environment information.
  3.  前記取得部は、カメラ又はライダの少なくとも一方を含み、
     前記環境情報は、前記車両が存在する地点での天候に関する情報であることを特徴とする請求項2に記載の車両制御装置。
    The acquisition unit includes at least one of a camera or a lidar,
    The vehicle control apparatus according to claim 2, wherein the environmental information is information regarding weather at a point where the vehicle exists.
  4.  前記判定部は、前記取得部の取得精度を検出する検出部を備え、
     前記判定部が前記所定の基準を満たしていないと判定した場合に、前記検出部が検出した取得精度に応じた前記車両の位置を含む地図上の範囲を特定する特定部と、
     前記特定部によって特定された前記範囲内から前記停車地点を抽出する抽出部と、
    更に備えることを特徴とする請求項1~3のいずれか一項に記載の車両制御装置。
    The determination unit includes a detection unit that detects the acquisition accuracy of the acquisition unit,
    A specifying unit that specifies a range on the map including the position of the vehicle according to the acquisition accuracy detected by the detection unit when the determination unit determines that the predetermined criterion is not satisfied;
    An extraction unit for extracting the stop point from the range specified by the specification unit;
    The vehicle control device according to any one of claims 1 to 3, further comprising:
  5.  前記特定部は、前記検出部が検出した取得精度が高いほど、前記範囲が広くなるように前記範囲を特定することを特徴とする請求項4に記載の車両制御装置。 The vehicle control device according to claim 4, wherein the specifying unit specifies the range such that the range becomes wider as the acquisition accuracy detected by the detection unit is higher.
  6.  前記取得部は、前記車両の周辺情報を取得する外界センサであり、
     前記自動運転制御部は、前記判定部が前記所定の基準を満たしていないと判定した場合には、前記地図情報と前記車両の状態を検出する内界センサの出力とに基づいて、前記自動運転を行うことを特徴とする請求項1~5のいずれか一項に記載の車両制御装置。
    The acquisition unit is an external sensor that acquires peripheral information of the vehicle,
    When the determination unit determines that the predetermined criterion is not satisfied, the automatic operation control unit is configured to perform the automatic operation based on the map information and an output of an internal sensor that detects the state of the vehicle. The vehicle control device according to any one of claims 1 to 5, wherein:
  7.  車両の周辺情報を取得する複数の取得部と、
     前記複数の取得部のそれぞれについて、取得精度が所定の基準を満たしているかを判定する判定部と、
     前記車両を自動運転する自動運転制御部と、
    を備え、
     前記自動運転制御部は、前記判定部によって、前記複数の取得部のうち、前記所定の基準を満たしていないと判定されたものがある場合には、他の前記取得部によって取得された周辺情報に基づいて、安全に停車可能な停車地点に前記車両を誘導するように前記自動運転を行うことを特徴とする車両制御装置。
    A plurality of acquisition units for acquiring vehicle periphery information;
    For each of the plurality of acquisition units, a determination unit that determines whether the acquisition accuracy satisfies a predetermined criterion;
    An automatic driving control unit for automatically driving the vehicle;
    With
    The automatic operation control unit, when the determination unit determines that the predetermined criterion is not satisfied among the plurality of acquisition units, the peripheral information acquired by the other acquisition unit On the basis of the above, the vehicle control device performs the automatic driving so as to guide the vehicle to a stop point where the vehicle can be safely stopped.
  8.  地図情報を記憶する記憶部を有する車両制御装置が実行する制御方法であって、
     車両の周辺情報を取得する取得工程と、
     前記取得工程の取得精度が所定の基準を満たしているかを判定する判定工程と、
     前記車両の自動運転を行う自動運転工程と、
    を有し、
      前記自動運転工程は、
     前記判定工程が前記所定の基準を満たしている判定した場合には、前記取得工程が取得した周辺情報に基づいて前記自動運転を行い、
     前記判定工程が前記所定の基準を満たしていないと判定した場合には、前記地図情報に基づいて、安全に停車可能な停車地点に前記車両を誘導するように前記自動運転を行うことを特徴とする制御方法。
    A control method executed by a vehicle control device having a storage unit for storing map information,
    An acquisition process for acquiring vehicle periphery information;
    A determination step of determining whether the acquisition accuracy of the acquisition step satisfies a predetermined criterion;
    An automatic driving process for automatically driving the vehicle;
    Have
    The automatic operation process includes:
    When it is determined that the determination step satisfies the predetermined standard, the automatic operation is performed based on the peripheral information acquired by the acquisition step,
    When the determination step determines that the predetermined standard is not satisfied, the automatic driving is performed so as to guide the vehicle to a stop where the vehicle can be safely stopped based on the map information. Control method to do.
  9.  地図情報を記憶する記憶部を参照するコンピュータが実行するプログラムであって、
     車両の周辺情報を取得する取得部と、
     前記取得部の取得精度が所定の基準を満たしているかを判定する判定部と、
     前記車両の自動運転を行う自動運転制御部
    として前記コンピュータを機能させ、
      前記自動運転制御部は、
     前記判定部が前記所定の基準を満たしている判定した場合には、前記取得部が取得した周辺情報に基づいて前記自動運転を行い、
     前記判定部が前記所定の基準を満たしていないと判定した場合には、前記地図情報に基づいて、安全に停車可能な停車地点に前記車両を誘導するように前記自動運転を行うことを特徴とするプログラム。
    A program executed by a computer that refers to a storage unit that stores map information,
    An acquisition unit for acquiring vehicle periphery information;
    A determination unit that determines whether the acquisition accuracy of the acquisition unit satisfies a predetermined criterion;
    Causing the computer to function as an automatic driving control unit that performs automatic driving of the vehicle;
    The automatic operation control unit is
    When it is determined that the determination unit satisfies the predetermined criterion, the automatic operation is performed based on the peripheral information acquired by the acquisition unit,
    When the determination unit determines that the predetermined standard is not satisfied, the automatic driving is performed based on the map information so as to guide the vehicle to a stop point where the vehicle can be stopped safely. Program to do.
  10.  請求項9に記載のプログラムを記憶したことを特徴とする記憶媒体。 A storage medium storing the program according to claim 9.
PCT/JP2015/056197 2015-03-03 2015-03-03 Vehicle control device, control method, program, and storage medium WO2016139747A1 (en)

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