WO2018168121A1 - Driving state determination device, driving state determination method, and program for determination of driving state - Google Patents

Driving state determination device, driving state determination method, and program for determination of driving state Download PDF

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Publication number
WO2018168121A1
WO2018168121A1 PCT/JP2017/044480 JP2017044480W WO2018168121A1 WO 2018168121 A1 WO2018168121 A1 WO 2018168121A1 JP 2017044480 W JP2017044480 W JP 2017044480W WO 2018168121 A1 WO2018168121 A1 WO 2018168121A1
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WIPO (PCT)
Prior art keywords
driving
vehicle
driver
information
state
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PCT/JP2017/044480
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French (fr)
Japanese (ja)
Inventor
智浩 籔内
相澤 知禎
円香 渡部
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オムロン株式会社
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Publication of WO2018168121A1 publication Critical patent/WO2018168121A1/en

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    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60KARRANGEMENT OR MOUNTING OF PROPULSION UNITS OR OF TRANSMISSIONS IN VEHICLES; ARRANGEMENT OR MOUNTING OF PLURAL DIVERSE PRIME-MOVERS IN VEHICLES; AUXILIARY DRIVES FOR VEHICLES; INSTRUMENTATION OR DASHBOARDS FOR VEHICLES; ARRANGEMENTS IN CONNECTION WITH COOLING, AIR INTAKE, GAS EXHAUST OR FUEL SUPPLY OF PROPULSION UNITS IN VEHICLES
    • B60K28/00Safety devices for propulsion-unit control, specially adapted for, or arranged in, vehicles, e.g. preventing fuel supply or ignition in the event of potentially dangerous conditions
    • B60K28/02Safety devices for propulsion-unit control, specially adapted for, or arranged in, vehicles, e.g. preventing fuel supply or ignition in the event of potentially dangerous conditions responsive to conditions relating to the driver
    • B60K28/06Safety devices for propulsion-unit control, specially adapted for, or arranged in, vehicles, e.g. preventing fuel supply or ignition in the event of potentially dangerous conditions responsive to conditions relating to the driver responsive to incapacity of driver
    • 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
    • B60W40/00Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
    • B60W40/02Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to ambient conditions
    • B60W40/04Traffic conditions
    • 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
    • B60W40/00Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
    • B60W40/08Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to drivers or passengers
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/09Arrangements for giving variable traffic instructions
    • G08G1/0962Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
    • G08G1/0965Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages responding to signals from another vehicle, e.g. emergency vehicle
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/16Anti-collision systems

Definitions

  • the present invention relates to a driving state determination device, a driving state determination method, and a program for driving state determination that determine whether driving is appropriate according to the state of the driver.
  • the present invention has been made paying attention to the above circumstances, and intends to provide a driving state determination device, a driving state determination method, and a program for driving state determination that can accurately determine driving suitability. .
  • a first aspect of the present invention is an information acquisition unit that acquires information about an environment around a vehicle and a state of a driver of the vehicle, and detects an environmental change and a state change from the information.
  • a driving state determination comprising: an information detection unit that performs a driving state determination unit that determines driving suitability based on the relationship between the environmental change and the state change; and a signal output unit that outputs a signal according to the determination result of driving suitability Device.
  • the driving state determination unit determines that driving is inappropriate when the state change corresponding to the environmental change is not detected. It is what you do.
  • the information detection unit is configured to detect changes in the driver's line-of-sight trend and changes in the driver's biological information. The state change is detected based on at least one of them.
  • the information detection unit detects the environmental change corresponding to the travel of the emergency vehicle. is there.
  • the signal output unit assists the driver when it is determined that driving is inappropriate.
  • An instruction signal for instructing execution is output.
  • the signal output unit determines whether the automatic operation mode and the manual operation mode are based on the determination result of the operation suitability.
  • running state determination apparatus of any one of Claim 1 to 5 which outputs the control signal which controls switching between.
  • the control signal for maintaining the automatic operation mode is output without switching from the automatic operation mode to the manual operation mode.
  • the signal output unit determines that the operation is inappropriate during execution of the manual operation mode.
  • the control signal for requesting switching from the manual operation mode to the automatic operation mode is output.
  • an information acquisition process for acquiring information related to an environment around a vehicle and a state of the driver of the vehicle, an information detection process for detecting an environmental change and a state change from the information, and the environment
  • An operation state determination method comprising: an operation state determination process that determines whether or not driving is appropriate based on a relationship between a change and the state change; and a signal output process that outputs a signal corresponding to the determination result of the operation appropriateness.
  • a tenth aspect of the present invention is a program for determining an operation state that causes a computer to function as each unit included in the operation state determination device according to any one of the first to eighth aspects.
  • the driving state determination device can determine whether driving is appropriate or not based on the relationship between environmental changes around the vehicle and changes in the state of the driver of the vehicle.
  • a driver who concentrates on driving reacts to environmental changes. This reaction is detected as a state change. If the driver is not focused on driving, the response to the environmental change is dull or non-responsive, and therefore the state change corresponding to the environmental change is not detected. That is, it is possible to accurately determine whether or not the driver is in a state suitable for driving from the correspondence relationship between environmental changes and state changes.
  • this signal can be used for driving control to improve safety.
  • the state change corresponding to the environmental change is not detected, that is, when the driver's state does not change despite the environmental change, the driving is inappropriate. It can be determined that
  • the suitability of driving is accurately determined by detecting a state change based on at least one of a change in the driver's line-of-sight trend and a change in the driver's biological information. Can do.
  • the propriety of driving can be determined in correspondence with the travel of the emergency vehicle. Although it is dangerous if the driving state is improper when the emergency vehicle is traveling, the danger can be avoided by using the determination result of the driving suitability.
  • the fifth aspect of the present invention when it is determined that driving is inappropriate, it is possible to output an instruction signal instructing execution of assistance to the driver. As a result, contents acting on the driver can be output as assistance to the driver, and danger can be avoided in an inappropriate driving state.
  • the sixth aspect of the present invention it is possible to output a control signal for controlling switching between the automatic operation mode and the manual operation mode based on the determination result of the suitability for operation. It is possible to avoid danger by controlling the operation mode according to the determination result.
  • the automatic operation mode when it is determined that the operation is inappropriate during the execution of the automatic operation mode, the automatic operation mode is maintained without switching from the automatic operation mode to the manual operation mode. can do. As a result, it is possible to prevent the automatic operation mode from being switched to the manual operation mode when the operation is inappropriate, and to improve safety.
  • the eighth aspect of the present invention since the control signal for requesting switching from the manual operation mode to the automatic operation mode is output based on the determination result of the inappropriate operation during the execution of the manual operation mode, the automatic operation from the manual operation mode is performed. Switching to the mode can improve safety.
  • the operating state determination method can obtain the same effects as those of the first aspect described above. That is, the driving state determination method can accurately determine whether driving is appropriate, and can improve safety.
  • the program for determining the driving state can obtain the same effects as those of the first to eighth aspects described above.
  • the program for determining the driving state can accurately determine whether or not the driving is appropriate, and can improve safety.
  • FIG. 1 is a diagram illustrating an overall configuration of a vehicle including a driving state determination device according to an embodiment of the present invention.
  • FIG. 2 is a block diagram showing the configuration of the operating state determination device according to an embodiment of the present invention.
  • FIG. 3 is a block diagram showing a configuration of the information detection unit according to the embodiment of the present invention.
  • FIG. 4 is a flowchart illustrating an example of driving suitability determination by the driving state determination device and driving control by the automatic driving control device.
  • FIG. 5 is a flowchart illustrating an example of driving suitability determination by the driving state determination device.
  • FIG. 6 is a flowchart illustrating an example of operation control by the automatic operation control apparatus.
  • FIG. 1 is a diagram showing an overall configuration of a vehicle 1 provided with a driving state determination device 2 according to an embodiment of the present invention.
  • the driving state determination device 2 is mounted on a vehicle 1 such as a passenger car.
  • the configuration of the driving state determination device 2 will be described later.
  • the vehicle 1 may be, for example, any one of an automobile, a bus, a truck, a train, and the like, or a vehicle on which a driver (hereinafter also referred to as a driver) other than these rides.
  • the vehicle 1 includes, as basic equipment, a power unit 3 including a power source and a transmission, a steering device 4 equipped with a steering wheel 5, and further includes a manual operation mode and an automatic operation mode as operation modes. .
  • An engine and / or a motor is used as the power source.
  • the manual driving mode is a mode in which the vehicle 1 is driven mainly by a driver's manual driving operation, for example.
  • the manual driving mode for example, an operation mode for driving the vehicle 1 based only on the driving operation of the driver and an operation for performing driving operation support control for supporting the driving operation of the driver while mainly driving the driving operation of the driver. Mode is included.
  • the driving operation support control assists the steering torque so that the driver's steering becomes an appropriate steering amount based on the curvature of the curve when the vehicle 1 is traveling on the curve, for example.
  • the driving operation support control includes control for assisting a driver's accelerator operation (for example, operation of an accelerator pedal) or brake operation (for example, operation of a brake pedal), manual steering (manual operation of steering), and manual speed adjustment (speed). Adjustment manual operation) is also included.
  • a driver's accelerator operation for example, operation of an accelerator pedal
  • brake operation for example, operation of a brake pedal
  • manual steering manual operation of steering
  • speed manual speed adjustment
  • Adjustment manual operation is also included.
  • manual steering the vehicle 1 is steered mainly by the driver's operation of the steering wheel 5.
  • the speed of the vehicle 1 is adjusted mainly by the driver's accelerator operation or brake operation.
  • the driving operation support control does not include control for forcibly intervening in the driving operation of the driver to automatically drive the vehicle 1. That is, in the manual driving mode, the driving operation of the driver is reflected in the driving of the vehicle 1 within a preset allowable range, but the driving of the vehicle 1 is compulsory under certain conditions (for example, lane departure of the vehicle 1). Interventive control is not included.
  • the automatic operation mode is a mode for realizing an operation state in which the vehicle 1 is automatically driven along the road on which the vehicle 1 is traveling, for example.
  • the automatic driving mode includes, for example, a driving state in which the vehicle 1 is automatically driven toward a preset destination without driving by the driver.
  • the automatic driving mode it is not always necessary to automatically control all of the vehicle 1, and the driving state in which the driving operation of the driver is reflected in the traveling of the vehicle 1 within a preset allowable range is also included in the automatic driving mode. That is, the automatic driving mode includes control for forcibly intervening in the traveling of the vehicle 1 under certain conditions, while reflecting the driving operation of the driver in the traveling of the vehicle 1 within a preset allowable range.
  • the vehicle 1 further includes an outside camera 6, a steering sensor 7, an accelerator pedal sensor 8, a brake pedal sensor 9, a GPS receiver 10, a gyro sensor 11, a vehicle speed sensor 12, a navigation device 13, an automatic An operation control device 14, a driver camera 15, an audio output device 16, a communication device 17, and a biosensor 18 are provided.
  • the outside camera 6 is installed at an arbitrary position of the vehicle 1 so that the outside of the vehicle 1 can be photographed.
  • the vehicle 1 may include a plurality of vehicle exterior cameras that capture different directions.
  • the outside camera 6 continuously captures the driving environment in the vicinity of the vehicle 1.
  • the vehicle exterior camera 6 is activated in response to the start of operation of the vehicle 1 and continuously captures the outside of the vehicle 1.
  • the outside camera 6 is an example of a sensor that monitors the outside of the vehicle 1.
  • the vehicle exterior camera 6 outputs the captured image (hereinafter also referred to as vehicle exterior image data) to the driving state determination device 2 and the automatic driving control device 14.
  • the steering sensor 7 detects a steering angle.
  • the steering sensor 7 outputs the detection result to the automatic driving control device 14.
  • the accelerator pedal sensor 8 detects an operation amount of the accelerator pedal.
  • the accelerator pedal sensor 8 outputs the detection result to the automatic operation control device 14.
  • the brake pedal sensor 9 detects the operation amount of the brake pedal.
  • the brake pedal sensor 9 outputs the detection result to the automatic operation control device 14.
  • the GPS receiver 10 receives current position information of the vehicle 1.
  • the GPS receiver 10 outputs the current position information to the driving state determination device 2, the navigation device 13, and the automatic driving control device 14.
  • the gyro sensor 11 detects the behavior of the vehicle 1.
  • the gyro sensor 11 outputs the detection result to the automatic operation control device 14.
  • the vehicle speed sensor 12 detects the speed of the vehicle 1.
  • the vehicle speed sensor 12 outputs the detection result to the automatic driving control device 14.
  • the navigation device 13 is an example of a video display device that includes a display 131 that displays video.
  • the navigation device 13 stores map information.
  • the navigation device 13 extracts route information from the current position to the destination by using information on the destination input by the driver or the like, map information, and current position information from the GPS receiver 10.
  • the navigation device 13 displays route information on the display 131.
  • the navigation device 13 can also display information other than route information on the display 131.
  • the navigation device 13 outputs the route information to the driving state determination device 2 and the automatic driving control device 14.
  • the route information described above may include not only information on the route from the current position to the destination, but also information on the road environment from the current position to the destination. Some examples of information about the road environment will be described.
  • the information on the road environment may include information on the type of road that passes from the current position to the destination.
  • the types of roads are classified into, for example, roads in which human traffic is restricted or roads in which human traffic is not restricted.
  • the road where the passage of people is restricted is, for example, an expressway.
  • the highway can also be called a motorway.
  • the road where the passage of people is not restricted is, for example, a general road.
  • the information on the road environment may include information on the speed limit of the road that passes from the current position to the destination.
  • the information regarding the road environment may include position information of an installation on the road passing from the current position to the destination.
  • the installed object is, for example, a sign, but may be an object installed on the road.
  • the information regarding the road environment may include position information of a building near the road passing from the current position to the destination.
  • Information about the road environment may include information on the number of lanes on the road.
  • the information on the road environment may include information on the position of the curve section that passes between the current position and the destination.
  • Information on the road environment may include information on the curvature of the curve in the curve section.
  • the information on the road environment may include information on the gradient of the road that passes between the current position and the destination. Note that the route information may include information other than the above example as information on the road environment.
  • the configuration of the automatic operation control device 14 will be described.
  • the automatic operation control device 14 automatically controls traveling of the vehicle 1 when the operation mode is the automatic operation mode.
  • the automatic driving control device 14 includes an outside image data from the outside camera 6, a detection result from the steering sensor 7, a detection result from the accelerator pedal sensor 8, a detection result from the brake pedal sensor 9, and a GPS receiver 10. Current position information, a detection result from the gyro sensor 11, a detection result from the vehicle speed sensor 12, and route information from the navigation device 13 are acquired.
  • the automatic driving control device 14 automatically controls the traveling of the vehicle 1 based on these information and traffic information acquired by road-to-vehicle communication of the communication device 17 described later.
  • Automatic control includes, for example, automatic steering (automatic steering operation) and automatic speed adjustment (automatic driving of speed).
  • Automatic steering is an operating state in which the steering device 4 is automatically controlled.
  • Automatic steering includes LKAS (Lane Keeping Assist System).
  • the LKAS automatically controls the steering device 4 so that the vehicle 1 does not deviate from the traveling lane even when the driver does not perform the steering operation.
  • the steering operation of the driver may be reflected in the steering of the vehicle 1 within a range (allowable range) in which the vehicle 1 does not deviate from the travel lane even during execution of LKAS.
  • automatic steering is not limited to LKAS.
  • Automatic speed adjustment is an operating state in which the speed of the vehicle 1 is automatically controlled.
  • Automatic speed adjustment includes ACC (Adaptive Cruise Control). For example, when there is no preceding vehicle ahead of the vehicle 1, ACC performs constant speed control that causes the vehicle 1 to travel at a constant speed at a preset speed, and when the preceding vehicle exists ahead of the vehicle 1. Is a follow-up control that adjusts the vehicle speed of the vehicle 1 in accordance with the inter-vehicle distance from the preceding vehicle.
  • the automatic operation control device 14 decelerates the vehicle 1 according to the driver's brake operation (for example, operation of the brake pedal) even when ACC is being executed.
  • the automatic driving control device 14 can operate the driver's accelerator operation (for example, accelerator) up to a preset maximum permissible speed (for example, the maximum speed legally determined on the traveling road) even when ACC is being executed.
  • the vehicle 1 can be accelerated according to the pedal operation.
  • the automatic speed adjustment is not limited to ACC but also includes CC (Cruise Control).
  • the configuration of the driver camera 15 will be described.
  • the driver camera 15 is installed, for example, at a position that is in front of the driver as on a dashboard.
  • the driver camera 15 is an example of a sensor that monitors a driver.
  • the driver camera 15 is activated in response to the start of driving of the vehicle 1 and continuously captures a predetermined range including the driver's face.
  • the driver camera 15 outputs the captured image (hereinafter referred to as driver image data) to the driving state determination device 2.
  • Driver image data is an example of monitoring data used to detect the state of the driver.
  • the driver's condition is, for example, driver's forward gaze, drowsiness, looking aside, putting on and taking off clothes, telephone operation, leaning on the window / armrest, driving disturbance by passengers and pets, onset of illness, backwards, kneeling, eating and drinking , Smoking, dizziness, abnormal behavior, car navigation / audio operation, attachment / detachment of glasses / sunglasses, photography, and a target recognition index.
  • the degree of object recognition is an index of how much the driver has recognized the object (for example, visually), and is the degree that the driver is aware of the object (for example, visually).
  • the state of the driver may include an index other than the index exemplified here.
  • the audio output device 16 includes a speaker 161.
  • the audio output device 16 outputs various information as audio.
  • the communication device 17 includes a vehicle-to-vehicle communication module 171 and a road-to-vehicle communication module 172.
  • the inter-vehicle communication module 171 communicates directly with another vehicle by radio. Another vehicle is a general vehicle or an emergency vehicle.
  • the inter-vehicle communication module 171 transmits, for example, information related to the vehicle 1 to another vehicle close to the vehicle 1 by inter-vehicle communication.
  • the information regarding the vehicle 1 is, for example, position information, speed information, vehicle type information, and the like, but is not limited thereto.
  • the inter-vehicle communication module 171 receives, for example, information on another vehicle that is close to the vehicle 1 from the other vehicle by inter-vehicle communication.
  • the information regarding another vehicle is, for example, position information, speed information, vehicle type information, and the like, but is not limited thereto.
  • vehicle type information for example, there is information indicating an emergency vehicle.
  • the road-to-vehicle communication module 172 communicates wirelessly with roadside devices installed on the road.
  • the road-to-vehicle communication module 172 transmits, for example, information on the vehicle 1 to the roadside machine through road-to-vehicle communication.
  • the road-to-vehicle communication module 172 receives various information exemplified below from the roadside machine through road-to-vehicle communication.
  • the road-to-vehicle communication module 172 may receive, for example, information about another vehicle that is close to the vehicle 1 from the roadside machine.
  • the road-to-vehicle communication module 172 may receive traffic information from a roadside machine, for example.
  • the traffic information may include, for example, lane regulation information and closed information.
  • the traffic information may include, for example, signal information related to the display of signals installed in the vicinity of the roadside machine.
  • the road-to-vehicle communication module 172 may receive weather information from a roadside machine, for example.
  • the road-vehicle communication module 172 may receive, for example, information on the presence / absence of a person crossing a road near the roadside machine from the roadside machine.
  • the road-vehicle communication module 172 may receive information other than the information described above from the roadside machine.
  • the communication device 17 outputs information obtained by the vehicle-to-vehicle communication and the road-to-vehicle communication as described above to the driving state determination device 2 and the automatic driving control device 14.
  • the biological sensor 18 is at least one of a blood pressure sensor and a pulse sensor.
  • the blood pressure sensor may be a wearable sensor, and transmits the blood pressure sensing data of the driver to the driving state determination device 2 in real time by wireless communication or the like.
  • the pulse sensor is a sensor integrally formed with a vehicle seat, and transmits sensing data of the driver's pulse to the driving state determination device 2 in real time by wireless communication or the like. In addition, you may make it the sensing data from each sensor transmit to the driving
  • the driving state determination device 2 acquires information about the environment around the vehicle 1 and the state of the driver of the vehicle 1, detects the environment around the vehicle 1 and the state of the driver of the vehicle 1 from the acquired information, Detect environmental changes and state changes. Further, the driving state determination device 2 determines whether or not the driver is in a state suitable for driving the vehicle 1 based on the relationship between the environmental change and the state change, and outputs a signal corresponding to the determination result. The driving state determination device 2 estimates the driving concentration level of the driver based on the above-described driver state, and determines whether the driver is in a state suitable for driving the vehicle 1 based on the driving concentration level. You may do it.
  • the driving concentration degree is a degree suitable for the driver to drive the vehicle 1. As the driving concentration increases, the driver becomes more suitable for driving the vehicle 1. Conversely, as the degree of driving concentration decreases, the driver becomes more unsuitable for driving the vehicle 1.
  • FIG. 2 is a block diagram illustrating a configuration of the driving state determination device 2 according to the embodiment of the present invention.
  • the operating state determination device 2 includes an input / output interface unit 21, a storage unit 22, and a control unit 23.
  • the input / output interface unit 21 includes an outside camera 6, a GPS receiver 10, a navigation device 13, an automatic driving control device 14, a driver camera 15, an audio output device 16 and a communication device 17, and a biological sensor 18, and a control unit 23. Connecting.
  • the configuration of the storage unit 22 will be described.
  • the storage unit 22 is a non-volatile memory that can be written and read at any time, such as a solid state drive (SSD) and a hard disk drive (HDD).
  • the storage unit 22 includes a monitoring data storage unit 221 and a vehicle exterior image data storage unit 222.
  • the monitoring data storage unit 221 stores driver image data that the control unit 23 acquires from the driver camera 15.
  • the vehicle exterior image data storage unit 222 stores vehicle exterior image data that the control unit 23 acquires from the vehicle exterior camera 6.
  • the configuration of the control unit 23 will be described.
  • the control unit 23 includes a processor 231 and a memory 232.
  • the processor 231 is, for example, a CPU (Central Processing Unit) that constitutes a computer.
  • the configuration of each unit included in the processor 231 will be described later. Note that although one processor 231 is shown in FIG. 2, the control unit 23 may include one or more processors.
  • the memory 232 is a non-volatile memory such as an SSD (Solid State Drive) or HDD (Hard Disk Drive) that can be written and read at any time, or a volatile memory such as a RAM (Random-Access Memory).
  • the memory 232 includes a program that causes the processor 231 to perform processing of each unit included in the processor 231.
  • the program can also be referred to as an instruction for operating the processor 231.
  • the program is stored in the storage unit 22 and is read from the storage unit 22 to the memory 232.
  • the program in the memory 232 is read by the processor 231.
  • One embodiment may be realized by a program.
  • the processor 231 includes a monitoring data acquisition unit 2311, a vehicle exterior image data acquisition unit 2312, a vehicle information acquisition unit 2313, a route information acquisition unit 2314, a current position information acquisition unit 2315, an information detection unit 2316, and a driving state determination.
  • Each unit may be distributed among one or more processors.
  • the monitoring data acquisition unit 2311 acquires driver image data from the driver camera 15 via the input / output interface unit 21.
  • the monitoring data acquisition unit 2311 stores the driver image data in the monitoring data storage unit 221.
  • the monitoring data acquisition unit 2311 acquires driver biometric data from the biometric sensor 18 via the input / output interface unit 21.
  • the monitoring data acquisition unit 2311 stores the driver biometric data in the monitoring data storage unit 221.
  • the vehicle exterior image data acquisition unit 2312 acquires vehicle exterior image data from the vehicle exterior camera 6 via the input / output interface unit 21.
  • the vehicle exterior image data acquisition unit 2312 stores the vehicle exterior image data in the vehicle exterior image data storage unit 222.
  • the vehicle information acquisition unit 2313 acquires information regarding another vehicle that is close to the vehicle 1 from the communication device 17 via the input / output interface unit 21.
  • the vehicle information acquisition unit 2313 outputs information related to another vehicle to the information detection unit 2316.
  • the route information acquisition unit 2314 acquires route information from the navigation device 13 via the input / output interface unit 21.
  • the route information acquisition unit 2314 outputs the route information to the information detection unit 2316.
  • the current position information acquisition unit 2315 acquires current position information from the GPS receiver 10 via the input / output interface unit 21.
  • the current position information acquisition unit 2315 outputs the current position information to the information detection unit 2316.
  • the information detection unit 2316 detects the environment around the vehicle 1 from at least one of the vehicle exterior image data from the vehicle exterior image data storage unit 222 and the information related to another vehicle from the vehicle information acquisition unit 2313, and the time Detect environmental changes over time. In addition, the information detection unit 2316 detects the state of the driver from at least one of the driver image data and the driver biometric data stored in the monitoring data storage unit 221, and further drives with time. Detect changes in the person's condition. In addition to the driver image data, the information detection unit 2316 detects, for example, the above-described object recognition level as the driver's state using at least one of image data outside the vehicle, route information, and current position information. May be.
  • the information detection unit 2316 may detect the traveling direction of the vehicle based on the traveling information of the vehicle 1.
  • the information detection unit 2316 outputs an environmental change around the vehicle 1 and a driver state change to the driving state determination unit 2317. Further, the information detection unit 2316 may output the degree of object recognition to the driving state determination unit 2317.
  • the driving state determination unit 2317 determines driving suitability based on the relationship between the environmental change around the vehicle 1 from the information detection unit 2316 and the state change of the driver of the vehicle 1. For example, the driving state determination unit 2317 may determine whether or not the automatic driving mode is appropriate while the automatic driving mode is being executed, and may determine whether or not the manual driving mode is appropriate while the manual driving mode is being executed. Good. The driving suitability determination will be described in detail later. Driving state determination unit 2317 outputs the determination result of driving suitability to signal output unit 2318.
  • the driving state determination unit 2317 may estimate the driving concentration level of the driver based on the driver's state.
  • running state determination part 2317 estimates a driver
  • the driving state determination unit 2317 estimates the driving concentration corresponding to each of one or more indicators included in the driver's state. For example, the driving state determination unit 2317 estimates a driving concentration level using sleepiness as an index, and also estimates a driving concentration level using a side look as an index. Note that the driving state determination unit 2317 may estimate, for example, one driving concentration degree by comprehensively determining a plurality of indexes included in the driver's state.
  • the driving state determination unit 2317 can estimate the driving concentration degree by a numerical value such as a ratio.
  • the numerical value estimated by the driving state determination unit 2317 may be increased as the driving concentration level is increased, or may be decreased as the driving concentration level is increased.
  • the estimation of the driving concentration by the driving state determination unit 2317 may be performed using an AI (Artificial Intelligence) function such as machine learning or deep learning.
  • AI Artificial Intelligence
  • the driving state determination unit 2317 can estimate the driver's state with high accuracy by using the past estimation result for estimation of the current driving concentration degree, for example.
  • the driving state determination unit 2317 compares the driving concentration level with a reference.
  • the driving state determination unit 2317 estimates the driving concentration level for each of the plurality of indices
  • the driving concentration level for each of the plurality of indices may be compared with a reference.
  • Operation state determination unit 2317 outputs the comparison result to signal output unit 2318. Note that the reference may be arbitrarily changed.
  • the signal output unit 2318 outputs a signal to each unit via the input / output interface unit 21.
  • the signal output unit 2318 outputs a signal corresponding to the determination result of driving suitability to the automatic driving control device 14.
  • the automatic driving control device 14 may control driving based on a signal corresponding to the determination result of driving suitability. The output of the signal according to the determination result of driving suitability and the operation control based on the signal according to the determination result will be described in detail later.
  • the signal output unit 2318 may output a signal corresponding to the determination result of driving suitability to at least one of the navigation device 13 and the audio output device 16.
  • the signal output unit 2318 outputs an instruction signal that instructs execution of assistance to the driver in response to the inappropriate driving determination to the assistance providing apparatus.
  • the support for the driver may be any output content that acts on the driver, and includes various types of support for improving the degree of driving concentration in addition to warning, alerting, and information provision.
  • the support providing device executes predetermined support for the driver.
  • the support providing device is, for example, the navigation device 13 or the audio output device 16.
  • the support providing device Based on the instruction signal, the support providing device displays an image or video that gives attention to the driver, or outputs the attention to the driver by voice. For example, the signal output unit 2318 outputs a first instruction signal in response to an inappropriate driving determination during execution of the automatic operation mode, and a second in response to an inappropriate driving determination during execution of the manual operation mode. An instruction signal may be output. Based on the first instruction signal, the support providing device “continues the automatic operation mode because it is inappropriate for driving” or “switches to the manual operation mode because it is inappropriate for driving”. A message such as "Not accepted” is output.
  • the support providing device based on the second instruction signal, “switches the manual operation mode to the automatic operation mode because it is inappropriate for driving” or “notifies the vehicle because it is inappropriate for driving”. “Stop (or decelerate)” message is output.
  • the driver can recognize from the message that the driver is not in a state suitable for driving the vehicle 1.
  • the signal output unit 2318 may output an instruction signal to a device that gives an external stimulus such as vibration to the driver.
  • the signal output unit 2318 may determine whether or not to output an instruction signal for giving attention to the driver to the support providing device based on a comparison result between the driving concentration level and the reference. For example, the signal output unit 2318 may output an instruction signal to the driver when the driving concentration estimated by the information detection unit 2316 is lower than the reference. For example, the signal output unit 2318 outputs an instruction signal to the support providing apparatus.
  • the signal output unit 2318 can output an instruction signal when one or more driving concentration degrees among a plurality of driving concentration degrees estimated from a plurality of indices are lower than a reference.
  • the signal output unit 2318 may output an instruction signal when a predetermined number or more of the driving concentration degrees estimated from the plurality of indices is lower than the reference.
  • FIG. 3 is a block diagram illustrating a configuration of the information detection unit 2316.
  • the information detection unit 2316 includes an environment detection unit 23161, an environment change detection unit 23162, a local state detection unit 23163, a global state detection unit 23164, a driver state detection unit 23165, and a driver state change detection unit. 23166.
  • the environment detection unit 23161 detects the environment around the vehicle 1 from at least one of the vehicle exterior image data from the vehicle exterior image data storage unit 222 and the information related to another vehicle from the vehicle information acquisition unit 2313. Then, the environment change detection unit 23162 detects the environment change with the lapse of time of the environment around the detected vehicle 1.
  • the environment detection unit 23161 includes at least one of the route information from the route information acquisition unit 2314 and the current position information from the current position information acquisition unit 2315 as at least one of the image data outside the vehicle and the information related to another vehicle.
  • the environment around the vehicle 1 is detected, and the environment change detection unit 23162 detects an environment change in which the driver may react with the passage of time of the detected environment around the vehicle 1. .
  • a vehicle around the vehicle 1 is assumed as the surrounding environment, and a running of the vehicle around the vehicle 1 is assumed as an environmental change with which the driver may react.
  • a running of the vehicle around the vehicle 1 is assumed as an environmental change with which the driver may react.
  • at least one of approaching, parallel running, overtaking, and the like of traveling vehicles around the vehicle 1 is assumed as an environmental change.
  • An emergency vehicle may be assumed as the traveling vehicle.
  • the local state detection unit 23163 detects the state of at least one of the organs included in the driver's face in the driver image data.
  • the organs included in the face are, for example, the eyes, mouth, nose and ears, but other organs may be used.
  • the local state detection unit 23163 detects the eye state
  • the local state detection unit 23163 detects, for example, the degree of opening / closing of the driver's eyes, the direction of the line of sight, and the direction of the face.
  • Local state detection unit 23163 outputs a detection result (hereinafter also referred to as local information) to driver state detection unit 23165.
  • the global state detection unit 23164 detects at least one of the global states of the driver in the driver image data.
  • the global state is, for example, the movement and posture of the driver, but may be other than these.
  • the global state detection unit 23164 outputs a detection result (hereinafter also referred to as global information) to the driver state detection unit 23165.
  • the driver state detection unit 23165 detects the above-described driver state using the local information from the local state detection unit 23163 and the global information from the global state detection unit 23164.
  • the driver state change detection unit 23154 detects a change in the state of the driver as time elapses in the detected state of the driver. Next, some detection examples of the degree of object recognition by the information detection unit 2316 will be described.
  • the information detection unit 2316 can detect the degree of object recognition using the monitoring data and the position information of the object.
  • the information detection unit 2316 can detect the degree of object recognition using the image data outside the vehicle in addition to the driver image data as follows.
  • the information detection unit 2316 extracts a target for detecting the degree of object recognition from the image data outside the vehicle.
  • the information detection unit 2316 divides the image data outside the vehicle into a plurality of areas, and extracts a target from the divided plurality of areas. Thereby, the position (direction) of the object can be detected.
  • the target is, for example, an installation such as a sign and a guardrail, and a building, but is not particularly limited as long as the driver can visually recognize the object.
  • the information detection unit 2316 can extract the extracted object from the pattern matching between the extracted object and the registered dangerous object. It may be determined whether or not is a dangerous article.
  • the information detection unit 2316 detects the driver's line of sight and the face direction from the driver image data captured at substantially the same timing as when the image data outside the vehicle from which the target was extracted was captured.
  • the driver's line of sight and face orientation are detected by the local state detection unit 23163 as described above.
  • the information detection unit 2316 detects the degree of object recognition using at least one of the driver's line of sight and face orientation and target position information.
  • the degree of object recognition may be detected when the time during which at least one of the driver's line of sight and the face direction is facing the object is a predetermined time or more. It can be said that the degree of object recognition increases as the driver's line of sight and face direction face the object.
  • the information detection unit 2316 can detect the degree of object recognition using the route information and the current position information in addition to the driver image data as follows.
  • the information detection unit 2316 extracts a target located near the vehicle 1 with reference to the route information and the current position information.
  • the target is, for example, an installation such as a sign or a building, but is not particularly limited as long as the driver can visually recognize it.
  • the information detection unit 2316 detects the driver's line of sight and the direction of the face from the driver image data captured at approximately the same timing as the vehicle 1 passes through the vicinity of the target.
  • the information detection unit 2316 detects the degree of object recognition using at least one of the driver's line of sight and face orientation and target position information.
  • the information detection unit 2316 may obtain the target position and the timing at which the vehicle 1 passes through the vicinity of the target through road-to-vehicle communication. In this case, the information detection unit 2316 detects the driver's line of sight and the direction of the face from the driver image data captured at substantially the same timing as the vehicle 1 passes through the vicinity of the target. The information detection unit 2316 detects the degree of object recognition using at least one of the driver's line of sight and face orientation and target position information.
  • the information detection unit 2316 may use a message displayed on the display 131 of the navigation device 13 as a target. In this case, the information detection unit 2316 detects the driver's line of sight and the face direction from the driver image data captured at substantially the same timing as when the message is displayed on the display 131. The information detection unit 2316 detects the degree of object recognition using at least one of the driver's line of sight and face orientation and target position information.
  • the information detection unit 2316 can appropriately detect the driver's state using the degree of object recognition as an index.
  • the information detection unit 2316 may use an object located in the vicinity of the front, rear, left, or right of the vehicle 1.
  • the information detection unit 2316 preferably uses an object located near the left side or the right side rather than the front side of the vehicle 1. If the object is located on the front side of the vehicle 1, the driver's line of sight and face do not move much. On the other hand, if the target is located near the left side or the right side of the vehicle 1, the driver's line of sight and face move to the left or right side. Therefore, the information detection unit 2316 can detect the degree of object recognition appropriately.
  • FIG. 4 is a flowchart showing an example of driving suitability determination by the driving state determination device 2 and driving control by the automatic driving control device 14.
  • the driving state determination device 2 acquires information about the environment around the vehicle 1 and information about the state of the driver of the vehicle 1 (step S11). For example, as information about the environment around the vehicle 1, at least one of the information about the outside image data from the outside image data acquisition unit 2312 and the information about another vehicle close to the vehicle 1 from the vehicle information acquisition unit 2313 is used. get. Furthermore, at least one of the route information from the route information acquisition unit 2314 and the current position information from the current position information acquisition unit 2315 may be acquired.
  • the monitoring data acquisition part 2311 acquires at least one of driver image data and driver biometric information as information regarding the state of the driver of the vehicle 1. Moreover, you may make it acquire the information of object recognition degree as information regarding the driver
  • the information detection unit 2316 detects an environmental change from information related to the environment around the vehicle 1 (step S12). For example, when an environmental change is detected, the driving state determination unit 2317 detects whether the driver's state changes or does not change, and determines whether or not driving is appropriate. If no environmental change is detected, it is not necessary to determine whether or not driving is appropriate. Moreover, the information detection part 2316 detects the state change of the driver
  • the driving state determination unit 2317 determines driving suitability based on the relationship between the environmental change and the state change (step S13). The driving suitability determination will be described in detail later.
  • the signal output unit 2318 outputs a signal corresponding to the determination result of driving suitability (step S14). For example, the signal output unit 2318 may output a signal indicating appropriate driving or inappropriate driving, or may output an instruction signal instructing execution of assistance such as warning according to a determination result of inappropriate driving. Alternatively, a control signal for controlling switching of the operation mode (switching between the automatic operation mode and the manual operation mode) may be output according to the determination result of the suitability for operation. The signal output will be described in detail later. Further, the automatic driving control device 14 controls driving based on a signal corresponding to the determination result of driving suitability (step S15). The operation control will be described in detail later.
  • the signal output unit 2318 may output a control signal that does not permit switching from the automatic driving mode to the manual driving mode.
  • the automatic operation control unit 14 that has received this control signal does not execute the switching to the manual operation mode according to the control signal, even if it receives a request to switch to the manual operation mode.
  • the signal output unit 2318 may output a control signal that permits switching from the automatic driving mode to the manual driving mode.
  • the automatic operation control unit 14 executes switching to the manual operation mode when receiving a request for switching to the manual operation mode according to the control signal.
  • the signal output unit 2318 may output a switching control signal from the manual driving mode to the automatic driving mode.
  • the automatic operation control unit 14 switches the manual operation mode to the automatic operation mode in accordance with this control signal.
  • the signal output unit 2318 may output a control signal that requests the continuation of the automatic driving mode.
  • the automatic operation control unit 14 continues the automatic operation mode in accordance with this control signal, and does not execute the switch to the manual operation mode even if a request for switching to the manual operation mode is received.
  • FIG. 5 is a flowchart showing an example of driving suitability determination by the driving state determination device 2.
  • the driving state determination unit 2317 checks the correspondence between the environmental change and the state change (step S1311). When it is determined that there is a correlation between the detection timing of the environmental change and the detection timing of the state change, the driving state determination unit 2317 determines that there is a state change corresponding to the detection of the environmental change (YES in step S1311). For example, a case where a state change is detected within a predetermined time from the detection of the environmental change is determined to be a state change corresponding to the detection of the environmental change. For example, when an event such as approaching, parallel running, and overtaking of a vehicle (including an emergency vehicle) occurs, the information detection unit 2316 detects an environmental change corresponding to the occurrence of this event.
  • the information detection unit 2316 displays a state change corresponding to this reaction. To detect. Thereby, the driving
  • step S1313, NO the driving state determination unit 2317 determines that the driving is appropriate.
  • step S1312 the driving state determination unit 2317 performs the driving. It is determined that it is inappropriate (step S1312).
  • the driving state determination unit 2317 determines that the driving is in an appropriate state when a state change is detected corresponding to the timing at which an environmental change is detected, and the driving state is inappropriate when the change is not detected. It is determined that it is in a state. For example, the driver's line of sight is directed in the direction of travel of the vehicle 1, but even if the environmental change occurs, it is determined that there is no state change when the reaction is small or no reaction, and the driving is inappropriate. It is determined that
  • the driving state determination unit 2317 may request to continue the automatic driving mode (step S1314). S1315). Thereby, the signal output unit 2318 outputs a signal indicating a request to continue the automatic operation mode.
  • the operation state determination unit 2317 may reject switching from the automatic operation mode to the manual operation mode. Thereby, the signal output unit 2318 outputs a signal indicating rejection of switching from the automatic operation mode to the manual operation mode.
  • the operation state determination unit 2317 determines that the operation is inappropriate during the execution of the manual operation mode (NO in step S1314), the operation state determination unit 2317 requests to switch from the manual operation mode to the automatic operation mode. (Step S1316). Thereby, the signal output unit 2318 outputs a signal indicating a request for switching from the manual operation mode to the automatic operation mode.
  • FIG. 6 is a flowchart illustrating an example of operation control by the automatic operation control device 14.
  • the driving state determination unit 2317 determines whether driving is appropriate and the signal output unit 2318 outputs a signal indicating appropriate driving or inappropriate driving
  • an example of the driving control of the automatic driving control device 14 in this case will be described. explain.
  • the automatic operation control device 14 receives a signal indicating appropriate operation or inappropriate operation from the signal output unit 2318.
  • the automatic operation control device 14 receives a request for the manual operation mode (step S1512, YES) during execution of the automatic operation mode (step S1511, YES), and receives a signal indicating inappropriate operation (step S1512). (S1513, YES), the manual operation mode is rejected (step S1514), and the automatic operation mode is maintained (step S1515).
  • the automatic operation control device 14 receives a request for the manual operation mode (step S1512, YES) during execution of the automatic operation mode (step S1511, YES), and receives a signal indicating appropriate operation (step S1512, YES). In step S1513, NO), the automatic operation mode is switched to the manual operation mode (step S1516).
  • the automatic operation control device 14 when the automatic operation control device 14 receives the signal indicating inappropriate operation (step S1518, YES) during execution of the manual operation mode (step S1511, NO) (step S1517), the automatic operation control device 14 changes the manual operation mode. The mode is switched to the automatic operation mode (step S1519). Furthermore, the automatic driving control device 14 may execute the automatic driving mode to decelerate or stop the vehicle 1.
  • the driving state determination device 2 can determine driving suitability based on the relationship between the environmental change around the vehicle 1 and the state change of the driver of the vehicle. For example, when an event such as approach, parallel running, and overtaking of an emergency vehicle or the like occurs, an environmental change corresponding to the occurrence of this event is detected. In general, a driver who is concentrating on driving shows a reaction such as surprise at the occurrence of this event, and a change in the state of the driver corresponding to this reaction is detected. If the driver is not focused on driving, the response to the occurrence of this event is dull or unresponsive, and therefore a state change corresponding to the environmental change is not detected.
  • the state change corresponding to the environmental change is not detected, that is, when the driver's state does not change despite the environmental change, it can be determined that the driving is inappropriate. For example, it is determined that driving is inappropriate when an event such as approaching, parallel running, and overtaking of an emergency vehicle has occurred and the driver remains unresponsive while facing forward. can do.
  • a level 1 warning may be issued from the navigation device 13 and the audio output device 16 based on the determination of inappropriate driving.
  • a warning of level 2 lower than level 1 for example, is issued from the navigation device 13 and the voice output device 16 based on the determination of inappropriate driving. May be issued.
  • the driving in the manual driving mode is not performed. It can be determined to be inappropriate. For example, it is possible to determine that driving in the manual driving mode is inappropriate for a state in which the user is not yet sufficiently awake from sleep during execution of the automatic driving mode. For example, blue light may be emitted from the navigation device 13 to give the driver an awakening action.
  • the suitability of driving can be determined with high accuracy by detecting a state change based on at least one of a change in the driver's line-of-sight trend and a change in the driver's biological information.
  • a driver who concentrates on driving often changes the line-of-sight trend in accordance with environmental changes.
  • the blood pressure or the pulse often fluctuates according to environmental changes.
  • the state change may be comprehensively determined from the change in the line-of-sight trend and the change in the biological information.
  • emergency vehicle travel as an indicator of environmental changes, it is possible to avoid danger during travel of the emergency vehicle. For example, if the driver's state change is not detected even though the emergency vehicle is traveling, the driver is in an inappropriate driving state. In such a case, the danger can be avoided by executing the automatic operation mode or switching from the manual operation mode to the automatic operation mode to bring the vehicle 1 to the road shoulder, decelerate, or stop.
  • Safety can be improved. For example, even if the driver is not sufficiently awakened and tries to switch from the automatic operation mode to the manual operation mode, the automatic operation mode is maintained and safety can be ensured.
  • a signal that requests switching from the manual operation mode to the automatic operation mode is output based on the determination result of the inappropriate operation during execution of the manual operation mode, so the safety is improved by switching from the manual operation mode to the automatic operation mode. Can be achieved.
  • the vehicle 1 may cause an environmental change to occur at a predetermined timing.
  • a warning image may be displayed on the display 131 of the navigation device 13 based on an instruction to generate an environmental change from the driving state determination device 2.
  • a warning sound may be output from the sound output device 16 based on an instruction to generate an environmental change from the driving state determination device 2.
  • an environmental change can be generated at an arbitrary timing. For example, when there is a possibility that the driver's concentration level is lowered, it is possible to determine whether or not driving is appropriate by generating an environmental change.
  • the present invention is not limited to the above-described embodiment as it is, and can be embodied by modifying the constituent elements without departing from the scope of the invention in the implementation stage.
  • various inventions can be formed by appropriately combining a plurality of constituent elements disclosed in the embodiment. For example, some components may be deleted from all the components shown in the embodiment. Furthermore, you may combine the component covering different embodiment suitably.
  • the above-described embodiment may be realized by a storage medium such as a ROM (Read Only Memory) that stores a program that causes the processor 231 to perform processing of each unit included in the processor 231.
  • a storage medium such as a ROM (Read Only Memory) that stores a program that causes the processor 231 to perform processing of each unit included in the processor 231.
  • a part or all of the above embodiment can be described as in the following supplementary notes, but is not limited thereto.
  • (Appendix 1) Obtaining information about the environment around the vehicle and the state of the driver of the vehicle, Detect environmental changes and state changes from the information, Judging driving suitability based on the relationship between the environmental change and the state change, A processor configured to output a signal corresponding to the determination result of driving suitability; A memory for storing instructions for operating the processor;
  • a driving state determination device comprising:
  • Appendix 2 With at least one processor, Obtaining information about the environment around the vehicle and the state of the driver of the vehicle, Detect environmental changes and state changes from the information, Judging driving suitability based on the relationship between the environmental change and the state change, A driving state determination method that outputs a signal according to a determination result of driving suitability.

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Abstract

The present invention can determine suitability/unsuitability of driving with high accuracy. This driving state determination device is provided with: an information acquisition unit that acquires information about the surrounding environment of a vehicle and the state of a driver of the vehicle; an information detection unit that detects change in the environment and change in the state from the information; a driving state determination unit that determines suitability/unsuitability of driving on the basis of the relationship between the change in the environment and the change in the state; and a signal output unit that outputs a signal corresponding to the determination result of suitability/unsuitability of driving.

Description

運転状態判定装置、運転状態判定方法及び運転状態判定のためのプログラムDriving state determination device, driving state determination method, and driving state determination program
 この発明は、運転者の状態に応じて運転の適否を判定する運転状態判定装置、運転状態判定方法及び運転状態判定のためのプログラムに関する。 The present invention relates to a driving state determination device, a driving state determination method, and a program for driving state determination that determine whether driving is appropriate according to the state of the driver.
 近年、様々なセンシング技術を適用して運転者の不注意による車両の接触等を防止する技術開発が進められている。 
 例えば、運転者の注意行動を明確に検出して、安全走行運転のための措置を行うことができる走行制御装置が提案されている(特開2014-181020号公報参照)。
2. Description of the Related Art In recent years, technology development has been advanced to prevent various types of sensing technology from causing vehicle contact due to driver's carelessness.
For example, a travel control device that can clearly detect the driver's attention behavior and take measures for safe travel driving has been proposed (see Japanese Patent Application Laid-Open No. 2014-181020).
 さらに、車両の運転モードとして、運転者の運転操作に基づいて車両を走行させる手動運転モード以外に、運転者の運転操作によらず予め設定された経路に沿って車両を走行させる自動運転モードの開発が進められている。 Further, as a driving mode of the vehicle, in addition to the manual driving mode in which the vehicle is driven based on the driving operation of the driver, an automatic driving mode in which the vehicle is driven along a preset route regardless of the driving operation of the driver. Development is underway.
 注意力を欠いた運転者による運転は危険であり、このような運転者による運転は不適切といえる。また、このような運転不適切な状態を検出する様々な技術が提案されているが未だ十分ではない。安全性向上のため、運転不適切な状態を精度良く検出する技術が要望されている。 運 転 Driving by a driver who lacks attention is dangerous, and it can be said that driving by such a driver is inappropriate. In addition, various techniques for detecting such an inappropriate driving state have been proposed, but are not sufficient. In order to improve safety, there is a demand for a technique for accurately detecting an inappropriate driving state.
 この発明は、上記事情に着目してなされたもので、運転適否を精度良く判定することができる運転状態判定装置、運転状態判定方法及び運転状態判定のためのプログラムを提供しようとするものである。 The present invention has been made paying attention to the above circumstances, and intends to provide a driving state determination device, a driving state determination method, and a program for driving state determination that can accurately determine driving suitability. .
 上記課題を解決するために、この発明の第1の態様は、車両の周辺の環境及び前記車両の運転者の状態に関する情報を取得する情報取得部と、前記情報から環境変化及び状態変化を検出する情報検出部と、前記環境変化及び前記状態変化の関係に基づき運転適否を判定する運転状態判定部と、運転適否の判定結果に応じた信号を出力する信号出力部と、を備える運転状態判定装置である。 In order to solve the above-described problems, a first aspect of the present invention is an information acquisition unit that acquires information about an environment around a vehicle and a state of a driver of the vehicle, and detects an environmental change and a state change from the information. A driving state determination comprising: an information detection unit that performs a driving state determination unit that determines driving suitability based on the relationship between the environmental change and the state change; and a signal output unit that outputs a signal according to the determination result of driving suitability Device.
 この発明の第2の態様は、第1の態様の運転状態判定装置において、前記運転状態判定部は、前記環境変化に対応した前記状態変化が検出されない場合に、運転が不適切であると判定するようにしたものである。 According to a second aspect of the present invention, in the driving state determination device according to the first aspect, the driving state determination unit determines that driving is inappropriate when the state change corresponding to the environmental change is not detected. It is what you do.
 この発明の第3の態様は、第1から2の何れか1つの態様の運転状態判定装置において、前記情報検出部は、前記運転者の視線動向の変化及び前記運転者の生体情報の変化のうちの少なくとも一方に基づき前記状態変化を検出するようにしたものである。 According to a third aspect of the present invention, in the driving state determination device according to any one of the first to second aspects, the information detection unit is configured to detect changes in the driver's line-of-sight trend and changes in the driver's biological information. The state change is detected based on at least one of them.
 この発明の第4の態様は、第1から3の何れか1つの態様の運転状態判定装置において、前記情報検出部は、緊急車両の走行に対応する前記環境変化を検出するようにしたものである。 According to a fourth aspect of the present invention, in the driving state determination device according to any one of the first to third aspects, the information detection unit detects the environmental change corresponding to the travel of the emergency vehicle. is there.
 この発明の第5の態様は、第1から4の何れか1つの態様の運転状態判定装置において、前記信号出力部は、運転が不適切であると判定された場合に、前記運転者に対する支援の実行を指示する指示信号を出力するようにしたものである。 According to a fifth aspect of the present invention, in the driving state determination device according to any one of the first to fourth aspects, the signal output unit assists the driver when it is determined that driving is inappropriate. An instruction signal for instructing execution is output.
 この発明の第6の態様は、第1から5の何れか1つの態様の運転状態判定装置において、前記信号出力部は、前記運転適否の判定結果に基づき、自動運転モードと手動運転モードとの間の切り替えを制御する制御信号を出力する請求項1から5の何れか1項に記載の運転状態判定装置。 According to a sixth aspect of the present invention, in the operation state determination device according to any one of the first to fifth aspects, the signal output unit determines whether the automatic operation mode and the manual operation mode are based on the determination result of the operation suitability. The driving | running state determination apparatus of any one of Claim 1 to 5 which outputs the control signal which controls switching between.
 この発明の第7の態様は、第6の態様の運転状態判定装置において、前記信号出力部運転状態判定部は、自動運転モードの実行中に運転が不適切であると判定された場合に、前記自動運転モードから前記手動運転モードへの切り替えを行わず、前記自動運転モードを維持する前記制御信号を出力するようにしたものである。 According to a seventh aspect of the present invention, in the driving state determination device according to the sixth aspect, when the signal output unit driving state determination unit determines that driving is inappropriate during execution of the automatic driving mode, The control signal for maintaining the automatic operation mode is output without switching from the automatic operation mode to the manual operation mode.
 この発明の第8の態様は、第6または7の態様の運転状態判定装置において、前記信号出力部は、前記手動運転モードの実行中に運転が不適切であると判定された場合に、前記手動運転モードから前記自動運転モードへの切り替えを要求する前記制御信号を出力するようにしたものである。 According to an eighth aspect of the present invention, in the operation state determination apparatus according to the sixth or seventh aspect, the signal output unit determines that the operation is inappropriate during execution of the manual operation mode. The control signal for requesting switching from the manual operation mode to the automatic operation mode is output.
 この発明の第9の態様は、車両の周辺の環境及び前記車両の運転者の状態に関する情報を取得する情報取得過程と、前記情報から環境変化及び状態変化を検出する情報検出過程と、前記環境変化及び前記状態変化の関係に基づき運転適否を判定する運転状態判定過程と、運転適否の判定結果に応じた信号を出力する信号出力過程と、を備える運転状態判定方法である。 According to a ninth aspect of the present invention, there is provided an information acquisition process for acquiring information related to an environment around a vehicle and a state of the driver of the vehicle, an information detection process for detecting an environmental change and a state change from the information, and the environment An operation state determination method comprising: an operation state determination process that determines whether or not driving is appropriate based on a relationship between a change and the state change; and a signal output process that outputs a signal corresponding to the determination result of the operation appropriateness.
 この発明の第10の態様は、第1から第8の態様の何れか1つの態様の運転状態判定装置が備える各部としてコンピュータを機能させる運転状態判定のためのプログラムである。 A tenth aspect of the present invention is a program for determining an operation state that causes a computer to function as each unit included in the operation state determination device according to any one of the first to eighth aspects.
 この発明の第1の態様によれば、運転状態判定装置は、車両の周辺の環境変化及び車両の運転者の状態変化の関係に基づき運転適否を判定することができる。一般的に、運転に集中している運転者であれば環境変化に反応する。この反応が状態変化として検出される。運転に集中していない運転者であれば環境変化に対する反応が鈍い又は反応しないことから、環境変化に対応する状態変化が検出されない。つまり、環境変化及び状態変化の対応関係から運転者が運転に適した状態か否かを精度良く判定することができる。また、運転適否の判定結果に応じた信号を出力するので、この信号を運転制御に利用し安全性の向上を図ることができる。 According to the first aspect of the present invention, the driving state determination device can determine whether driving is appropriate or not based on the relationship between environmental changes around the vehicle and changes in the state of the driver of the vehicle. Generally, a driver who concentrates on driving reacts to environmental changes. This reaction is detected as a state change. If the driver is not focused on driving, the response to the environmental change is dull or non-responsive, and therefore the state change corresponding to the environmental change is not detected. That is, it is possible to accurately determine whether or not the driver is in a state suitable for driving from the correspondence relationship between environmental changes and state changes. In addition, since a signal corresponding to the determination result of driving suitability is output, this signal can be used for driving control to improve safety.
 この発明の第2の態様によれば、環境変化に対応した状態変化が検出されない場合に、つまり、環境が変化しているにもかかわらず運転者の状態が変化しない場合に、運転が不適切であると判定することができる。 According to the second aspect of the present invention, when the state change corresponding to the environmental change is not detected, that is, when the driver's state does not change despite the environmental change, the driving is inappropriate. It can be determined that
 この発明の第3の態様によれば、運転者の視線動向の変化及び運転者の生体情報の変化のうちの少なくとも一方に基づき状態変化を検出することにより、精度良く運転の適否を判定することができる。 According to the third aspect of the present invention, the suitability of driving is accurately determined by detecting a state change based on at least one of a change in the driver's line-of-sight trend and a change in the driver's biological information. Can do.
 この発明の第4の態様によれば、緊急車両の走行に対応して運転の適否を判定することができる。緊急車両の走行時に運転が不適切な状態であると危険であるが、運転適否の判定結果を利用して危険を回避することができる。 According to the fourth aspect of the present invention, the propriety of driving can be determined in correspondence with the travel of the emergency vehicle. Although it is dangerous if the driving state is improper when the emergency vehicle is traveling, the danger can be avoided by using the determination result of the driving suitability.
 この発明の第5の態様によれば、運転が不適切であると判定された場合に、運転者に対する支援の実行を指示する指示信号を出力することができる。これにより、運転者に対する支援として、運転者に作用する内容を出力することができ、運転が不適切な状態において危険を回避することができる。 According to the fifth aspect of the present invention, when it is determined that driving is inappropriate, it is possible to output an instruction signal instructing execution of assistance to the driver. As a result, contents acting on the driver can be output as assistance to the driver, and danger can be avoided in an inappropriate driving state.
 この発明の第6の態様によれば、運転適否の判定結果に基づき、自動運転モードと手動運転モードとの間の切り替えを制御する制御信号を出力することができる。判定結果に応じた運転モードに制御し、危険を回避することができる。 According to the sixth aspect of the present invention, it is possible to output a control signal for controlling switching between the automatic operation mode and the manual operation mode based on the determination result of the suitability for operation. It is possible to avoid danger by controlling the operation mode according to the determination result.
 この発明の第7の態様によれば、自動運転モードの実行中に運転が不適切であると判定された場合に、自動運転モードから手動運転モードへの切り替えを行わず、自動運転モードを維持することができる。これにより、運転が不適切な状態で自動運転モードから手動運転モードに切り替わるのを防ぎ、安全性の向上を図ることができる。 According to the seventh aspect of the present invention, when it is determined that the operation is inappropriate during the execution of the automatic operation mode, the automatic operation mode is maintained without switching from the automatic operation mode to the manual operation mode. can do. As a result, it is possible to prevent the automatic operation mode from being switched to the manual operation mode when the operation is inappropriate, and to improve safety.
 この発明の第8の態様によれば、手動運転モードの実行中の運転不適の判定結果に基づき手動運転モードから自動運転モードへ切り替えを要求する制御信号を出力するので、手動運転モードから自動運転モードへ切り替えて、安全性の向上を図ることができる。 According to the eighth aspect of the present invention, since the control signal for requesting switching from the manual operation mode to the automatic operation mode is output based on the determination result of the inappropriate operation during the execution of the manual operation mode, the automatic operation from the manual operation mode is performed. Switching to the mode can improve safety.
 この発明の第9の態様によれば、運転状態判定方法は、上述の第1の態様と同様の効果を得ることができる。即ち、運転状態判定方法は、運転適否を精度良く判定することができ安全性の向上を図ることができる。 According to the ninth aspect of the present invention, the operating state determination method can obtain the same effects as those of the first aspect described above. That is, the driving state determination method can accurately determine whether driving is appropriate, and can improve safety.
 この発明の第10の態様によれば、運転状態判定のためのプログラムは、上述の第1から第8の態様と同様の効果を得ることができる。即ち、運転状態判定のためのプログラムは、運転適否を精度良く判定することができ安全性の向上を図ることができる。 According to the tenth aspect of the present invention, the program for determining the driving state can obtain the same effects as those of the first to eighth aspects described above. In other words, the program for determining the driving state can accurately determine whether or not the driving is appropriate, and can improve safety.
図1は、本発明の一実施形態に係る運転状態判定装置を備える車両の全体構成を示す図である。FIG. 1 is a diagram illustrating an overall configuration of a vehicle including a driving state determination device according to an embodiment of the present invention. 図2は、本発明の一実施形態に係る運転状態判定装置の構成を示すブロック図である。FIG. 2 is a block diagram showing the configuration of the operating state determination device according to an embodiment of the present invention. 図3は、本発明の一実施形態に係る情報検出部の構成を示すブロック図である。FIG. 3 is a block diagram showing a configuration of the information detection unit according to the embodiment of the present invention. 図4は、運転状態判定装置による運転適否判定、及び自動運転制御装置による運転制御の一例を示すフローチャートである。FIG. 4 is a flowchart illustrating an example of driving suitability determination by the driving state determination device and driving control by the automatic driving control device. 図5は、運転状態判定装置による運転適否判定の一例を示すフローチャートである。FIG. 5 is a flowchart illustrating an example of driving suitability determination by the driving state determination device. 図6は、自動運転制御装置による運転制御の一例を示すフローチャートである。FIG. 6 is a flowchart illustrating an example of operation control by the automatic operation control apparatus.
 以下、図面を参照してこの発明に係る実施形態について説明する。 
 [一実施形態] 
 (構成) 
 図1は、この発明の一実施形態に係る運転状態判定装置2を備えた車両1の全体構成を示す図である。運転状態判定装置2は、乗用車等の車両1に搭載される。運転状態判定装置2の構成については後述する。車両1は、例えば、自動車、バス、トラック及び電車等のうちの何れかであっても、これら以外の運転者(以下、ドライバとも称する)が乗る乗り物であってもよい。
Embodiments according to the present invention will be described below with reference to the drawings.
[One Embodiment]
(Constitution)
FIG. 1 is a diagram showing an overall configuration of a vehicle 1 provided with a driving state determination device 2 according to an embodiment of the present invention. The driving state determination device 2 is mounted on a vehicle 1 such as a passenger car. The configuration of the driving state determination device 2 will be described later. The vehicle 1 may be, for example, any one of an automobile, a bus, a truck, a train, and the like, or a vehicle on which a driver (hereinafter also referred to as a driver) other than these rides.
 車両1は、基本設備として、動力源及び変速装置を含むパワーユニット3と、ステアリングホイール5が装備された操舵装置4とを備え、さらに運転モードとしては手動運転モードと自動運転モードとを備えている。動力源としては、エンジンまたはモータ、あるいはその両方が用いられる。 The vehicle 1 includes, as basic equipment, a power unit 3 including a power source and a transmission, a steering device 4 equipped with a steering wheel 5, and further includes a manual operation mode and an automatic operation mode as operation modes. . An engine and / or a motor is used as the power source.
 手動運転モードは、例えば、運転者の手動による運転操作を主体として車両1を走行させるモードである。手動運転モードには、例えば、運転者の運転操作のみに基づいて車両1を走行させる動作モードと、運転者の運転操作を主体としながら運転者の運転操作を支援する運転操作支援制御を行う動作モードが含まれる。 The manual driving mode is a mode in which the vehicle 1 is driven mainly by a driver's manual driving operation, for example. In the manual driving mode, for example, an operation mode for driving the vehicle 1 based only on the driving operation of the driver and an operation for performing driving operation support control for supporting the driving operation of the driver while mainly driving the driving operation of the driver. Mode is included.
 運転操作支援制御は、例えば、車両1のカーブ走行時にカーブの曲率に基づいて運転者の操舵が適切な操舵量となるように操舵トルクをアシストする。また運転操作支援制御には、運転者のアクセル操作(例えばアクセルペダルの操作)またはブレーキ操作(例えばブレーキペダルの操作)を支援する制御と、手動操舵(操舵の手動運転)及び手動速度調整(速度調整の手動運転)も含まれる。手動操舵は、運転者のステアリングホイール5の操作を主体として車両1の操舵を行う。手動速度調整は、運転者のアクセル操作またはブレーキ操作を主体として車両1の速度調整を行う。 The driving operation support control assists the steering torque so that the driver's steering becomes an appropriate steering amount based on the curvature of the curve when the vehicle 1 is traveling on the curve, for example. The driving operation support control includes control for assisting a driver's accelerator operation (for example, operation of an accelerator pedal) or brake operation (for example, operation of a brake pedal), manual steering (manual operation of steering), and manual speed adjustment (speed). Adjustment manual operation) is also included. In manual steering, the vehicle 1 is steered mainly by the driver's operation of the steering wheel 5. In the manual speed adjustment, the speed of the vehicle 1 is adjusted mainly by the driver's accelerator operation or brake operation.
 なお、運転操作支援制御には、運転者の運転操作に強制的に介入して、車両1を自動走行させる制御は含まれない。すなわち、手動運転モードには、予め設定された許容範囲において運転者の運転操作を車両1の走行に反映させるが、一定条件(例えば車両1の車線逸脱等)の下で車両1の走行に強制的に介入する制御は含まれない。 It should be noted that the driving operation support control does not include control for forcibly intervening in the driving operation of the driver to automatically drive the vehicle 1. That is, in the manual driving mode, the driving operation of the driver is reflected in the driving of the vehicle 1 within a preset allowable range, but the driving of the vehicle 1 is compulsory under certain conditions (for example, lane departure of the vehicle 1). Interventive control is not included.
 一方、自動運転モードは、例えば、車両1の走行する道路に沿って自動で車両1を走行させる運転状態を実現するモードである。自動運転モードには、例えば、運転者が運転操作をすることなく、予め設定された目的地に向かって自動的に車両1を走行させる運転状態が含まれる。自動運転モードは、必ずしも車両1の全ての制御を自動で行う必要はなく、予め設定された許容範囲において運転者の運転操作を車両1の走行に反映する運転状態も自動運転モードに含まれる。すなわち、自動運転モードには、予め設定された許容範囲において運転者の運転操作を車両1の走行に反映させるが、一定条件の下で車両1の走行に強制的に介入する制御が含まれる。 On the other hand, the automatic operation mode is a mode for realizing an operation state in which the vehicle 1 is automatically driven along the road on which the vehicle 1 is traveling, for example. The automatic driving mode includes, for example, a driving state in which the vehicle 1 is automatically driven toward a preset destination without driving by the driver. In the automatic driving mode, it is not always necessary to automatically control all of the vehicle 1, and the driving state in which the driving operation of the driver is reflected in the traveling of the vehicle 1 within a preset allowable range is also included in the automatic driving mode. That is, the automatic driving mode includes control for forcibly intervening in the traveling of the vehicle 1 under certain conditions, while reflecting the driving operation of the driver in the traveling of the vehicle 1 within a preset allowable range.
 車両1は、さらに、車外カメラ6と、ステアリングセンサ7と、アクセルペダルセンサ8と、ブレーキペダルセンサ9と、GPS受信機10と、ジャイロセンサ11と、車速センサ12と、ナビゲーション装置13と、自動運転制御装置14と、ドライバカメラ15と、音声出力装置16と、通信装置17と、生体センサ18とを備える。 The vehicle 1 further includes an outside camera 6, a steering sensor 7, an accelerator pedal sensor 8, a brake pedal sensor 9, a GPS receiver 10, a gyro sensor 11, a vehicle speed sensor 12, a navigation device 13, an automatic An operation control device 14, a driver camera 15, an audio output device 16, a communication device 17, and a biosensor 18 are provided.
 車外カメラ6は、車両1の外部を撮影することができるように、車両1の任意の位置に設置されている。なお、図1には1つの車外カメラ6を示しているが、車両1は、異なる方向を撮影する複数の車外カメラを備えていてもよい。車外カメラ6は、車両1の近傍の走行環境を連続的に撮影する。車外カメラ6は、車両1の運転開始に応答して起動し、車両1の外部を連続的に撮影する。車外カメラ6は、車両1の外部を監視するセンサの一例である。車外カメラ6は、撮影した画像(以下、車外画像データとも称する)を運転状態判定装置2及び自動運転制御装置14へ出力する。 The outside camera 6 is installed at an arbitrary position of the vehicle 1 so that the outside of the vehicle 1 can be photographed. Although one vehicle exterior camera 6 is shown in FIG. 1, the vehicle 1 may include a plurality of vehicle exterior cameras that capture different directions. The outside camera 6 continuously captures the driving environment in the vicinity of the vehicle 1. The vehicle exterior camera 6 is activated in response to the start of operation of the vehicle 1 and continuously captures the outside of the vehicle 1. The outside camera 6 is an example of a sensor that monitors the outside of the vehicle 1. The vehicle exterior camera 6 outputs the captured image (hereinafter also referred to as vehicle exterior image data) to the driving state determination device 2 and the automatic driving control device 14.
 ステアリングセンサ7は、操舵角を検出する。ステアリングセンサ7は、検出結果を自動運転制御装置14へ出力する。 
 アクセルペダルセンサ8は、アクセルペダルの操作量を検出する。アクセルペダルセンサ8は、検出結果を自動運転制御装置14へ出力する。 
 ブレーキペダルセンサ9は、ブレーキペダルの操作量を検出する。ブレーキペダルセンサ9は、検出結果を自動運転制御装置14へ出力する。 
 GPS受信機10は、車両1の現在位置情報を受信する。GPS受信機10は、現在位置情報を運転状態判定装置2、ナビゲーション装置13及び自動運転制御装置14へ出力する。 
 ジャイロセンサ11は、車両1の挙動を検出する。ジャイロセンサ11は、検出結果を自動運転制御装置14へ出力する。 
 車速センサ12は、車両1の速度を検出する。車速センサ12は、検出結果を自動運転制御装置14へ出力する。
The steering sensor 7 detects a steering angle. The steering sensor 7 outputs the detection result to the automatic driving control device 14.
The accelerator pedal sensor 8 detects an operation amount of the accelerator pedal. The accelerator pedal sensor 8 outputs the detection result to the automatic operation control device 14.
The brake pedal sensor 9 detects the operation amount of the brake pedal. The brake pedal sensor 9 outputs the detection result to the automatic operation control device 14.
The GPS receiver 10 receives current position information of the vehicle 1. The GPS receiver 10 outputs the current position information to the driving state determination device 2, the navigation device 13, and the automatic driving control device 14.
The gyro sensor 11 detects the behavior of the vehicle 1. The gyro sensor 11 outputs the detection result to the automatic operation control device 14.
The vehicle speed sensor 12 detects the speed of the vehicle 1. The vehicle speed sensor 12 outputs the detection result to the automatic driving control device 14.
 ナビゲーション装置13は、映像を表示するディスプレイ131を備える映像表示装置の一例である。ナビゲーション装置13は、地図情報を記憶している。ナビゲーション装置13は、運転者等によって入力される目的地に関する情報と、地図情報と、GPS受信機10からの現在位置情報とを用いて、現在位置から目的地までの経路情報を抽出する。ナビゲーション装置13は、経路情報をディスプレイ131に表示する。ナビゲーション装置13は、経路情報以外の情報をディスプレイ131に表示することもできる。 
 ナビゲーション装置13は、経路情報を運転状態判定装置2及び自動運転制御装置14へ出力する。
The navigation device 13 is an example of a video display device that includes a display 131 that displays video. The navigation device 13 stores map information. The navigation device 13 extracts route information from the current position to the destination by using information on the destination input by the driver or the like, map information, and current position information from the GPS receiver 10. The navigation device 13 displays route information on the display 131. The navigation device 13 can also display information other than route information on the display 131.
The navigation device 13 outputs the route information to the driving state determination device 2 and the automatic driving control device 14.
 上述の経路情報は、現在位置から目的地までの道順の情報だけでなく、現在位置から目的地までの道路環境に関する情報を含んでいてもよい。 
 道路環境に関する情報のいくつかの例について説明する。 
 道路環境に関する情報は、現在位置から目的地までに通過する道路の種別の情報を含んでいてもよい。道路の種別は、例えば、人の通行が制限されている道路または人の通行が制限されていない道路などに分けられる。人の通行が制限されている道路は、例えば、高速道路である。高速道路は、自動車専用道路ということもできる。人の通行が制限されていない道路は、例えば、一般道路である。
The route information described above may include not only information on the route from the current position to the destination, but also information on the road environment from the current position to the destination.
Some examples of information about the road environment will be described.
The information on the road environment may include information on the type of road that passes from the current position to the destination. The types of roads are classified into, for example, roads in which human traffic is restricted or roads in which human traffic is not restricted. The road where the passage of people is restricted is, for example, an expressway. The highway can also be called a motorway. The road where the passage of people is not restricted is, for example, a general road.
 道路環境に関する情報は、現在位置から目的地までに通過する道路の制限速度の情報を含んでいてもよい。 
 道路環境に関する情報は、現在位置から目的地までに通過する道路上の設置物の位置情報を含んでいてもよい。設置物は、例えば、標識であるが、これ以外に道路に設置されている物であってもよい。 
 道路環境に関する情報は、現在位置から目的地までに通過する道路近傍の建造物の位置情報を含んでいてもよい。 
 道路環境に関する情報は、道路の車線数の情報を含んでいてもよい。 
 道路環境に関する情報は、現在位置から目的地までの間に通過するカーブ区間の位置の情報を含んでいてもよい。道路環境に関する情報は、カーブ区間のカーブの曲率の情報を含んでいてもよい。 
 道路環境に関する情報は、現在位置から目的地までの間に通過する道路の勾配の情報を含んでいてもよい。 
 なお、経路情報は、道路環境に関する情報として、上述の例以外の情報を含んでいてもよい。
The information on the road environment may include information on the speed limit of the road that passes from the current position to the destination.
The information regarding the road environment may include position information of an installation on the road passing from the current position to the destination. The installed object is, for example, a sign, but may be an object installed on the road.
The information regarding the road environment may include position information of a building near the road passing from the current position to the destination.
Information about the road environment may include information on the number of lanes on the road.
The information on the road environment may include information on the position of the curve section that passes between the current position and the destination. Information on the road environment may include information on the curvature of the curve in the curve section.
The information on the road environment may include information on the gradient of the road that passes between the current position and the destination.
Note that the route information may include information other than the above example as information on the road environment.
 自動運転制御装置14の構成について説明する。 
 自動運転制御装置14は、運転モードが自動運転モードである場合に車両1の走行を自動制御する。 
 自動運転制御装置14は、車外カメラ6からの車外画像データと、ステアリングセンサ7からの検出結果と、アクセルペダルセンサ8からの検出結果と、ブレーキペダルセンサ9からの検出結果と、GPS受信機10からの現在位置情報と、ジャイロセンサ11からの検出結果と、車速センサ12からの検出結果と、ナビゲーション装置13からの経路情報とを取得する。自動運転制御装置14は、例えば、これらの情報と、後述する通信装置17の路車間通信により取得される交通情報とを基にして、車両1の走行を自動制御する。
The configuration of the automatic operation control device 14 will be described.
The automatic operation control device 14 automatically controls traveling of the vehicle 1 when the operation mode is the automatic operation mode.
The automatic driving control device 14 includes an outside image data from the outside camera 6, a detection result from the steering sensor 7, a detection result from the accelerator pedal sensor 8, a detection result from the brake pedal sensor 9, and a GPS receiver 10. Current position information, a detection result from the gyro sensor 11, a detection result from the vehicle speed sensor 12, and route information from the navigation device 13 are acquired. For example, the automatic driving control device 14 automatically controls the traveling of the vehicle 1 based on these information and traffic information acquired by road-to-vehicle communication of the communication device 17 described later.
 自動制御には、例えば、自動操舵(操舵の自動運転)と自動速度調整(速度の自動運転)がある。自動操舵は、操舵装置4を自動で制御する運転状態である。自動操舵にはLKAS(Lane Keeping Assist System)が含まれる。LKASは、例えば、運転者がステアリング操作をしない場合であっても、車両1が走行車線から逸脱しないように自動で操舵装置4を制御する。なお、LKASの実行中であっても、車両1が走行車線を逸脱しない範囲(許容範囲)において運転者のステアリング操作を車両1の操舵に反映してもよい。なお、自動操舵はLKASに限らない。 Automatic control includes, for example, automatic steering (automatic steering operation) and automatic speed adjustment (automatic driving of speed). Automatic steering is an operating state in which the steering device 4 is automatically controlled. Automatic steering includes LKAS (Lane Keeping Assist System). For example, the LKAS automatically controls the steering device 4 so that the vehicle 1 does not deviate from the traveling lane even when the driver does not perform the steering operation. Note that the steering operation of the driver may be reflected in the steering of the vehicle 1 within a range (allowable range) in which the vehicle 1 does not deviate from the travel lane even during execution of LKAS. Note that automatic steering is not limited to LKAS.
 自動速度調整は、車両1の速度を自動で制御する運転状態である。自動速度調整にはACC(Adaptive Cruise Control)が含まれる。ACCとは、例えば、車両1の前方に先行車が存在しない場合は予め設定された設定速度で車両1を定速走行させる定速制御を行い、車両1の前方に先行車が存在する場合には先行車との車間距離に応じて車両1の車速を調整する追従制御を行うものである。自動運転制御装置14は、ACCを実行中であっても、運転者のブレーキ操作(例えばブレーキペダルの操作)に応じて車両1を減速させる。また自動運転制御装置14は、ACCを実行中であっても、予め設定された最大許容速度(例えば走行中の道路において法的に定められた最高速度)まで、運転者のアクセル操作(例えばアクセルペダルの操作)に応じて車両1を加速させることもできる。なお、自動速度調整は、ACCに限らず、CC(Cruise Control:定速制御)等も含まれる。 Automatic speed adjustment is an operating state in which the speed of the vehicle 1 is automatically controlled. Automatic speed adjustment includes ACC (Adaptive Cruise Control). For example, when there is no preceding vehicle ahead of the vehicle 1, ACC performs constant speed control that causes the vehicle 1 to travel at a constant speed at a preset speed, and when the preceding vehicle exists ahead of the vehicle 1. Is a follow-up control that adjusts the vehicle speed of the vehicle 1 in accordance with the inter-vehicle distance from the preceding vehicle. The automatic operation control device 14 decelerates the vehicle 1 according to the driver's brake operation (for example, operation of the brake pedal) even when ACC is being executed. Further, the automatic driving control device 14 can operate the driver's accelerator operation (for example, accelerator) up to a preset maximum permissible speed (for example, the maximum speed legally determined on the traveling road) even when ACC is being executed. The vehicle 1 can be accelerated according to the pedal operation. The automatic speed adjustment is not limited to ACC but also includes CC (Cruise Control).
 ドライバカメラ15の構成について説明する。 
 ドライバカメラ15は、例えば、ダッシュボード上のような運転者の正面となる位置に設置されている。ドライバカメラ15は、運転者を監視するセンサの一例である。ドライバカメラ15は、車両1の運転開始に応答して起動し、運転者の顔を含む所定の範囲を連続的に撮影する。ドライバカメラ15は、撮影した画像(以下、運転者画像データという)を運転状態判定装置2へ出力する。運転者画像データは、運転者の状態を検出するために用いられる監視データの一例である。運転者の状態は、例えば、運転者の前方注視、眠気、脇見、服の着脱、電話操作、窓側・肘掛けへの寄り掛かり、同乗者やペットによる運転妨害、病気の発症、後ろ向き、突っ伏し、飲食、喫煙、めまい、異常行動、カーナビゲーション・オーディオ操作、眼鏡・サングラスの着脱、写真撮影及び対象認知度合いなどの指標のうちの少なくとも何れか1つの指標を含む。対象認知度合いについては、運転者が対象を(例えば視覚的に)どの程度認知したかの指標であり、運転者が対象を(例えば目視で)確認して意識している度合いである。運転者の状態は、ここに例示する指標以外の指標を含んでいてもよい。
The configuration of the driver camera 15 will be described.
The driver camera 15 is installed, for example, at a position that is in front of the driver as on a dashboard. The driver camera 15 is an example of a sensor that monitors a driver. The driver camera 15 is activated in response to the start of driving of the vehicle 1 and continuously captures a predetermined range including the driver's face. The driver camera 15 outputs the captured image (hereinafter referred to as driver image data) to the driving state determination device 2. Driver image data is an example of monitoring data used to detect the state of the driver. The driver's condition is, for example, driver's forward gaze, drowsiness, looking aside, putting on and taking off clothes, telephone operation, leaning on the window / armrest, driving disturbance by passengers and pets, onset of illness, backwards, kneeling, eating and drinking , Smoking, dizziness, abnormal behavior, car navigation / audio operation, attachment / detachment of glasses / sunglasses, photography, and a target recognition index. The degree of object recognition is an index of how much the driver has recognized the object (for example, visually), and is the degree that the driver is aware of the object (for example, visually). The state of the driver may include an index other than the index exemplified here.
 音声出力装置16は、スピーカ161を備える。音声出力装置16は、種々の情報を音声で出力する。 The audio output device 16 includes a speaker 161. The audio output device 16 outputs various information as audio.
 通信装置17は、車車間通信モジュール171と、路車間通信モジュール172とを備える。 
 車車間通信モジュール171は、別の車両と直接的に無線で通信する。別の車両とは、一般車両又は緊急車両である。車車間通信モジュール171は、車車間通信により、例えば、車両1に関する情報を、車両1に近接している別の車両へ送信する。車両1に関する情報は、例えば、位置情報、速度情報、及び車種情報などであるが、これらに限定されるものではない。他方、車車間通信モジュール171は、車車間通信により、例えば、車両1に近接している別の車両に関する情報を、この別の車両から受信する。別の車両に関する情報は、例えば、位置情報、速度情報、及び車種情報などであるが、これらに限定されるものではない。車種情報として、例えば緊急車両を示す情報がある。
The communication device 17 includes a vehicle-to-vehicle communication module 171 and a road-to-vehicle communication module 172.
The inter-vehicle communication module 171 communicates directly with another vehicle by radio. Another vehicle is a general vehicle or an emergency vehicle. The inter-vehicle communication module 171 transmits, for example, information related to the vehicle 1 to another vehicle close to the vehicle 1 by inter-vehicle communication. The information regarding the vehicle 1 is, for example, position information, speed information, vehicle type information, and the like, but is not limited thereto. On the other hand, the inter-vehicle communication module 171 receives, for example, information on another vehicle that is close to the vehicle 1 from the other vehicle by inter-vehicle communication. The information regarding another vehicle is, for example, position information, speed information, vehicle type information, and the like, but is not limited thereto. As vehicle type information, for example, there is information indicating an emergency vehicle.
 路車間通信モジュール172は、道路に設置されている路側機と無線で通信する。路車間通信モジュール172は、路車間通信により、例えば、車両1に関する情報を路側機へ送信する。他方、路車間通信モジュール172は、路車間通信により、以下で例示する種々の情報を路側機から受信する。路車間通信モジュール172は、例えば、車両1に近接している別の車両に関する情報を路側機から受信してもよい。路車間通信モジュール172は、例えば、交通情報を路側機から受信してもよい。交通情報は、例えば、車線規制の情報及び通行止めの情報を含んでいてもよい。交通情報は、例えば、路側機の近傍に設置されている信号の表示に関する信号情報を含んでいてもよい。路車間通信モジュール172は、例えば、天候情報を路側機から受信してもよい。路車間通信モジュール172は、例えば、路側機の近傍の道路を横断する人の有無の情報を路側機から受信してもよい。路車間通信モジュール172は、上述の情報以外の情報を路側機から受信してもよい。 The road-to-vehicle communication module 172 communicates wirelessly with roadside devices installed on the road. The road-to-vehicle communication module 172 transmits, for example, information on the vehicle 1 to the roadside machine through road-to-vehicle communication. On the other hand, the road-to-vehicle communication module 172 receives various information exemplified below from the roadside machine through road-to-vehicle communication. The road-to-vehicle communication module 172 may receive, for example, information about another vehicle that is close to the vehicle 1 from the roadside machine. The road-to-vehicle communication module 172 may receive traffic information from a roadside machine, for example. The traffic information may include, for example, lane regulation information and closed information. The traffic information may include, for example, signal information related to the display of signals installed in the vicinity of the roadside machine. The road-to-vehicle communication module 172 may receive weather information from a roadside machine, for example. The road-vehicle communication module 172 may receive, for example, information on the presence / absence of a person crossing a road near the roadside machine from the roadside machine. The road-vehicle communication module 172 may receive information other than the information described above from the roadside machine.
 通信装置17は、上述のように車車間通信及び路車間通信で得られる情報を、運転状態判定装置2及び自動運転制御装置14へ出力する。 The communication device 17 outputs information obtained by the vehicle-to-vehicle communication and the road-to-vehicle communication as described above to the driving state determination device 2 and the automatic driving control device 14.
 生体センサ18は、血圧センサ及び脈拍センサのうちの少なくとも何れか1つである。血圧センサは、ウェアラブルセンサでもよく、無線通信等により運転者の血圧のセンシングデータをリアルタイムで運転状態判定装置2へ送信する。例えば、脈拍センサは、車両のシートと一体形成されるセンサであり、無線通信等により運転者の脈拍のセンシングデータをリアルタイムで運転状態判定装置2へ送信する。なお、各センサからのセンシングデータは、無線通信によりサーバを経由して運転状態判定装置2へ送信されるようにしてもよい。 The biological sensor 18 is at least one of a blood pressure sensor and a pulse sensor. The blood pressure sensor may be a wearable sensor, and transmits the blood pressure sensing data of the driver to the driving state determination device 2 in real time by wireless communication or the like. For example, the pulse sensor is a sensor integrally formed with a vehicle seat, and transmits sensing data of the driver's pulse to the driving state determination device 2 in real time by wireless communication or the like. In addition, you may make it the sensing data from each sensor transmit to the driving | running state determination apparatus 2 via a server by radio | wireless communication.
 次に、運転状態判定装置2の構成について説明する。 
 運転状態判定装置2は、車両1の周辺の環境及び車両1の運転者の状態に関する情報を取得し、取得情報から車両1の周辺の環境及び車両1の運転者の状態を検出し、さらに、環境変化及び状態変化を検出する。さらに、運転状態判定装置2は、環境変化及び前記状態変化の関係に基づき運転者が車両1の運転に適した状態か否かを判定し、判定結果に応じた信号を出力する。なお、運転状態判定装置2は、上述の運転者の状態に基づいて運転者の運転集中度を推定し、運転集中度に基づき運転者が車両1の運転に適した状態か否かを判定するようにしてもよい。運転集中度は、運転者が車両1の運転に適した度合いである。運転集中度が高くなるにつれ、運転者は、より車両1の運転に適した状態になる。逆に、運転集中度が低くなるにつれ、運転者は、より車両1の運転に適さない状態になる。
Next, the structure of the driving | running state determination apparatus 2 is demonstrated.
The driving state determination device 2 acquires information about the environment around the vehicle 1 and the state of the driver of the vehicle 1, detects the environment around the vehicle 1 and the state of the driver of the vehicle 1 from the acquired information, Detect environmental changes and state changes. Further, the driving state determination device 2 determines whether or not the driver is in a state suitable for driving the vehicle 1 based on the relationship between the environmental change and the state change, and outputs a signal corresponding to the determination result. The driving state determination device 2 estimates the driving concentration level of the driver based on the above-described driver state, and determines whether the driver is in a state suitable for driving the vehicle 1 based on the driving concentration level. You may do it. The driving concentration degree is a degree suitable for the driver to drive the vehicle 1. As the driving concentration increases, the driver becomes more suitable for driving the vehicle 1. Conversely, as the degree of driving concentration decreases, the driver becomes more unsuitable for driving the vehicle 1.
 図2は、本発明の一実施形態に係る運転状態判定装置2の構成を示すブロック図である。 
 運転状態判定装置2は、入出力インタフェースユニット21と、記憶ユニット22と、制御ユニット23とを備える。
FIG. 2 is a block diagram illustrating a configuration of the driving state determination device 2 according to the embodiment of the present invention.
The operating state determination device 2 includes an input / output interface unit 21, a storage unit 22, and a control unit 23.
 入出力インタフェースユニット21は、車外カメラ6、GPS受信機10、ナビゲーション装置13、自動運転制御装置14、ドライバカメラ15、音声出力装置16及び通信装置17、及び生体センサ18それぞれを、制御ユニット23と接続する。 The input / output interface unit 21 includes an outside camera 6, a GPS receiver 10, a navigation device 13, an automatic driving control device 14, a driver camera 15, an audio output device 16 and a communication device 17, and a biological sensor 18, and a control unit 23. Connecting.
 記憶ユニット22の構成について説明する。 
 記憶ユニット22は、例えば、SSD(Solid State Drive)やHDD(Hard Disk Drive)等の随時書き込み及び読み出しが可能な不揮発性メモリである。記憶ユニット22は、監視データ記憶部221と、車外画像データ記憶部222とを備える。
The configuration of the storage unit 22 will be described.
The storage unit 22 is a non-volatile memory that can be written and read at any time, such as a solid state drive (SSD) and a hard disk drive (HDD). The storage unit 22 includes a monitoring data storage unit 221 and a vehicle exterior image data storage unit 222.
 監視データ記憶部221は、制御ユニット23がドライバカメラ15から取得する運転者画像データを記憶する。 
 車外画像データ記憶部222は、制御ユニット23が車外カメラ6から取得する車外画像データを記憶する。
The monitoring data storage unit 221 stores driver image data that the control unit 23 acquires from the driver camera 15.
The vehicle exterior image data storage unit 222 stores vehicle exterior image data that the control unit 23 acquires from the vehicle exterior camera 6.
 制御ユニット23の構成について説明する。 
 制御ユニット23は、プロセッサ231と、メモリ232とを備える。 
 プロセッサ231は、例えば、コンピュータを構成するCPU(Central Processing Unit)である。プロセッサ231が備える各部の構成については後述する。なお、図2には1つのプロセッサ231を示しているが、制御ユニット23は、1以上のプロセッサを備えていてもよい。 
 メモリ232は、SSD(Solid State Drive)やHDD(Hard Disk Drive)等の随時書き込み及び読み出しが可能な不揮発性メモリ、又はRAM(Random-Access Memory)等の揮発性メモリである。メモリ232は、プロセッサ231が備える各部の処理をプロセッサ231に機能させるプログラムを備える。プログラムは、プロセッサ231を動作させる命令ということもできる。プログラムは、記憶ユニット22に記憶されており、記憶ユニット22からメモリ232に読み出される。メモリ232のプログラムは、プロセッサ231によって読み出される。一実施形態は、プログラムによって実現されてもよい。
The configuration of the control unit 23 will be described.
The control unit 23 includes a processor 231 and a memory 232.
The processor 231 is, for example, a CPU (Central Processing Unit) that constitutes a computer. The configuration of each unit included in the processor 231 will be described later. Note that although one processor 231 is shown in FIG. 2, the control unit 23 may include one or more processors.
The memory 232 is a non-volatile memory such as an SSD (Solid State Drive) or HDD (Hard Disk Drive) that can be written and read at any time, or a volatile memory such as a RAM (Random-Access Memory). The memory 232 includes a program that causes the processor 231 to perform processing of each unit included in the processor 231. The program can also be referred to as an instruction for operating the processor 231. The program is stored in the storage unit 22 and is read from the storage unit 22 to the memory 232. The program in the memory 232 is read by the processor 231. One embodiment may be realized by a program.
 プロセッサ231が備える各部の構成について説明する。 
 プロセッサ231は、監視データ取得部2311と、車外画像データ取得部2312と、車両情報取得部2313と、経路情報取得部2314と、現在位置情報取得部2315と、情報検出部2316と、運転状態判定部2317と、信号出力部2318とを備える。なお、各部は、1以上のプロセッサに分散されていてもよい。
The configuration of each unit included in the processor 231 will be described.
The processor 231 includes a monitoring data acquisition unit 2311, a vehicle exterior image data acquisition unit 2312, a vehicle information acquisition unit 2313, a route information acquisition unit 2314, a current position information acquisition unit 2315, an information detection unit 2316, and a driving state determination. A unit 2317 and a signal output unit 2318. Each unit may be distributed among one or more processors.
 監視データ取得部2311は、入出力インタフェースユニット21を介して、ドライバカメラ15から運転者画像データを取得する。監視データ取得部2311は、運転者画像データを監視データ記憶部221に記憶させる。また、監視データ取得部2311は、入出力インタフェースユニット21を介して、生体センサ18から運転者生体データを取得する。監視データ取得部2311は、運転者生体データを監視データ記憶部221に記憶させる。
 車外画像データ取得部2312は、入出力インタフェースユニット21を介して、車外カメラ6から車外画像データを取得する。車外画像データ取得部2312は、車外画像データを車外画像データ記憶部222に記憶させる。
The monitoring data acquisition unit 2311 acquires driver image data from the driver camera 15 via the input / output interface unit 21. The monitoring data acquisition unit 2311 stores the driver image data in the monitoring data storage unit 221. The monitoring data acquisition unit 2311 acquires driver biometric data from the biometric sensor 18 via the input / output interface unit 21. The monitoring data acquisition unit 2311 stores the driver biometric data in the monitoring data storage unit 221.
The vehicle exterior image data acquisition unit 2312 acquires vehicle exterior image data from the vehicle exterior camera 6 via the input / output interface unit 21. The vehicle exterior image data acquisition unit 2312 stores the vehicle exterior image data in the vehicle exterior image data storage unit 222.
 車両情報取得部2313は、入出力インタフェースユニット21を介して、通信装置17から車両1に近接している別の車両に関する情報を取得する。車両情報取得部2313は、別の車両に関する情報を情報検出部2316へ出力する。 
 経路情報取得部2314は、入出力インタフェースユニット21を介して、ナビゲーション装置13から経路情報を取得する。経路情報取得部2314は、経路情報を情報検出部2316へ出力する。 
 現在位置情報取得部2315は、入出力インタフェースユニット21を介して、GPS受信機10から現在位置情報を取得する。現在位置情報取得部2315は、現在位置情報を情報検出部2316へ出力する。
The vehicle information acquisition unit 2313 acquires information regarding another vehicle that is close to the vehicle 1 from the communication device 17 via the input / output interface unit 21. The vehicle information acquisition unit 2313 outputs information related to another vehicle to the information detection unit 2316.
The route information acquisition unit 2314 acquires route information from the navigation device 13 via the input / output interface unit 21. The route information acquisition unit 2314 outputs the route information to the information detection unit 2316.
The current position information acquisition unit 2315 acquires current position information from the GPS receiver 10 via the input / output interface unit 21. The current position information acquisition unit 2315 outputs the current position information to the information detection unit 2316.
 情報検出部2316は、車外画像データ記憶部222からの車外画像データ、及び車両情報取得部2313からの別の車両に関する情報のうちの少なくとも一方から、車両1の周辺の環境を検出し、さらに時間経過に伴う環境変化を検出する。また、情報検出部2316は、監視データ記憶部221に記憶されている運転者画像データ及び運転者生体データのうちの少なくとも何れか1つから運転者の状態を検出し、さらに時間経過に伴う運転者の状態変化を検出する。 
 情報検出部2316は、運転者画像データの他に、例えば、車外画像データ、経路情報、及び現在位置情報の少なくとも何れか1つを用いて、運転者の状態として上述の対象認知度合いを検出してもよい。 
 また、情報検出部2316は、車両1の走行情報に基づき車両の進行方向を検出するようにしてもよい。 
 情報検出部2316は、車両1の周辺の環境変化及び運転者の状態変化を運転状態判定部2317へ出力する。また、情報検出部2316は、対象認知度合いを運転状態判定部2317へ出力してもよい。
The information detection unit 2316 detects the environment around the vehicle 1 from at least one of the vehicle exterior image data from the vehicle exterior image data storage unit 222 and the information related to another vehicle from the vehicle information acquisition unit 2313, and the time Detect environmental changes over time. In addition, the information detection unit 2316 detects the state of the driver from at least one of the driver image data and the driver biometric data stored in the monitoring data storage unit 221, and further drives with time. Detect changes in the person's condition.
In addition to the driver image data, the information detection unit 2316 detects, for example, the above-described object recognition level as the driver's state using at least one of image data outside the vehicle, route information, and current position information. May be.
Further, the information detection unit 2316 may detect the traveling direction of the vehicle based on the traveling information of the vehicle 1.
The information detection unit 2316 outputs an environmental change around the vehicle 1 and a driver state change to the driving state determination unit 2317. Further, the information detection unit 2316 may output the degree of object recognition to the driving state determination unit 2317.
 運転状態判定部2317は、情報検出部2316からの車両1の周辺の環境変化及び車両1の運転者の状態変化の関係に基づき運転適否を判定する。例えば、運転状態判定部2317は、自動運転モードの実行中には自動運転モードの運転適否を判定し、また、手動運転モードの実行中には手動運転モードの運転適否を判定するようにしてもよい。運転適否判定については後に詳しく説明する。運転状態判定部2317は、運転適否の判定結果を信号出力部2318へ出力する。 The driving state determination unit 2317 determines driving suitability based on the relationship between the environmental change around the vehicle 1 from the information detection unit 2316 and the state change of the driver of the vehicle 1. For example, the driving state determination unit 2317 may determine whether or not the automatic driving mode is appropriate while the automatic driving mode is being executed, and may determine whether or not the manual driving mode is appropriate while the manual driving mode is being executed. Good. The driving suitability determination will be described in detail later. Driving state determination unit 2317 outputs the determination result of driving suitability to signal output unit 2318.
 また、運転状態判定部2317は、運転者の状態に基づいて運転者の運転集中度を推定するようにしてもよい。なお、運転者の状態を運転者画像データから検出する場合、運転状態判定部2317は、運転者画像データから運転者の運転集中度を推定するということもできる。運転状態判定部2317は、運転者の状態に含まれる1以上の指標それぞれに対応する運転集中度を推定する。運転状態判定部2317は、例えば、眠気を指標とした運転集中度を推定すると共に、脇見を指標とした運転集中度も推定する。なお、運転状態判定部2317は、例えば、運転者の状態に含まれる複数の指標について総合的に判断して1つの運転集中度を推定してもよい。 Further, the driving state determination unit 2317 may estimate the driving concentration level of the driver based on the driver's state. In addition, when detecting a driver | operator's state from driver | operator image data, it can also be said that the driving | running state determination part 2317 estimates a driver | operator's driving concentration degree from driver | operator image data. The driving state determination unit 2317 estimates the driving concentration corresponding to each of one or more indicators included in the driver's state. For example, the driving state determination unit 2317 estimates a driving concentration level using sleepiness as an index, and also estimates a driving concentration level using a side look as an index. Note that the driving state determination unit 2317 may estimate, for example, one driving concentration degree by comprehensively determining a plurality of indexes included in the driver's state.
 一例では、運転状態判定部2317は、運転集中度を割合などの数値で推定することができる。運転状態判定部2317によって推定される数値は、運転集中度が高くなるにつれ大きくなってもよいし、運転集中度が高くなるにつれ小さくなってもよい。 In one example, the driving state determination unit 2317 can estimate the driving concentration degree by a numerical value such as a ratio. The numerical value estimated by the driving state determination unit 2317 may be increased as the driving concentration level is increased, or may be decreased as the driving concentration level is increased.
 運転状態判定部2317による運転集中度の推定は、機械学習やディープラーニング等のAI(Artificial Intelligence:人工知能)機能を用いて行われてもよい。この場合、運転状態判定部2317は、例えば、過去の推定結果を現在の運転集中度の推定に活用することで、高精度に運転者の状態を推定することができる。 The estimation of the driving concentration by the driving state determination unit 2317 may be performed using an AI (Artificial Intelligence) function such as machine learning or deep learning. In this case, the driving state determination unit 2317 can estimate the driver's state with high accuracy by using the past estimation result for estimation of the current driving concentration degree, for example.
 また、運転状態判定部2317は、運転集中度と基準とを比較する。運転状態判定部2317が複数の指標それぞれについての運転集中度を推定する場合、複数の指標それぞれについての運転集中度を基準と比較してもよい。運転状態判定部2317は、比較結果を信号出力部2318へ出力する。なお、基準は、任意に変更可能であってもよい。 In addition, the driving state determination unit 2317 compares the driving concentration level with a reference. When the driving state determination unit 2317 estimates the driving concentration level for each of the plurality of indices, the driving concentration level for each of the plurality of indices may be compared with a reference. Operation state determination unit 2317 outputs the comparison result to signal output unit 2318. Note that the reference may be arbitrarily changed.
 信号出力部2318は、入出力インタフェースユニット21を介して、各部へ信号を出力する。以下では、信号出力部2318が出力するいくつかの信号の例について説明する。 
 例えば、信号出力部2318は、自動運転制御装置14へ運転適否の判定結果に対応する信号を出力する。自動運転制御装置14は、運転適否の判定結果に応じた信号に基づき運転を制御してもよい。運転適否の判定結果に応じた信号の出力、及び判定結果に応じた信号に基づく運転制御については後に詳しく説明する。
The signal output unit 2318 outputs a signal to each unit via the input / output interface unit 21. Hereinafter, examples of some signals output from the signal output unit 2318 will be described.
For example, the signal output unit 2318 outputs a signal corresponding to the determination result of driving suitability to the automatic driving control device 14. The automatic driving control device 14 may control driving based on a signal corresponding to the determination result of driving suitability. The output of the signal according to the determination result of driving suitability and the operation control based on the signal according to the determination result will be described in detail later.
 また、信号出力部2318は、ナビゲーション装置13及び音声出力装置16の少なくとも何れか1つへ運転適否の判定結果に応じた信号を出力してもよい。例えば、信号出力部2318は、運転不適切判定に応じて運転者に対する支援の実行を指示する指示信号を支援提供装置へ出力する。運転者に対する支援とは、運転者に作用する出力内容であればよく、警告や注意喚起、情報提供の他、運転集中度の改善を促す種々の支援も含まれる。支援提供装置は、信号出力部2318から指示信号を受信すると、運転者に対して所定の支援を実行する。支援提供装置は、例えば、ナビゲーション装置13または音声出力装置16である。支援提供装置は、指示信号に基づいて、運転者へ注意を与える画像又は映像で表示したり、運転者への注意を音声で出力したりする。例えば、信号出力部2318は、自動運転モードの実行中の運転不適切判定に応じて第1の指示信号を出力し、また、手動運転モードの実行中の運転不適切判定に応じて第2の指示信号を出力するようにしてもよい。支援提供装置は、第1の指示信号に基づき、「運転に不適切な状態であるため自動運転モードを継続します」、又は「運転に不適切な状態であるため手動運転モードへの切り替えを受け付けません」などのメッセージを出力する。また、支援提供装置は、第2の指示信号に基づき、「運転に不適切な状態であるため手動運転モードを自動運転モードへ切り替えます」、又は「運転に不適切な状態であるため車両を停止(又は減速)します」などのメッセージを出力する。運転者は、メッセージにより、運転者自身が車両1の運転に適した状態ではないことを認識することができる。信号出力部2318は、例えば、運転者に振動などの外部刺激を与える装置へ指示信号を出力してもよい。 Further, the signal output unit 2318 may output a signal corresponding to the determination result of driving suitability to at least one of the navigation device 13 and the audio output device 16. For example, the signal output unit 2318 outputs an instruction signal that instructs execution of assistance to the driver in response to the inappropriate driving determination to the assistance providing apparatus. The support for the driver may be any output content that acts on the driver, and includes various types of support for improving the degree of driving concentration in addition to warning, alerting, and information provision. When receiving the instruction signal from the signal output unit 2318, the support providing device executes predetermined support for the driver. The support providing device is, for example, the navigation device 13 or the audio output device 16. Based on the instruction signal, the support providing device displays an image or video that gives attention to the driver, or outputs the attention to the driver by voice. For example, the signal output unit 2318 outputs a first instruction signal in response to an inappropriate driving determination during execution of the automatic operation mode, and a second in response to an inappropriate driving determination during execution of the manual operation mode. An instruction signal may be output. Based on the first instruction signal, the support providing device “continues the automatic operation mode because it is inappropriate for driving” or “switches to the manual operation mode because it is inappropriate for driving”. A message such as "Not accepted" is output. In addition, the support providing device, based on the second instruction signal, “switches the manual operation mode to the automatic operation mode because it is inappropriate for driving” or “notifies the vehicle because it is inappropriate for driving”. “Stop (or decelerate)” message is output. The driver can recognize from the message that the driver is not in a state suitable for driving the vehicle 1. For example, the signal output unit 2318 may output an instruction signal to a device that gives an external stimulus such as vibration to the driver.
 また、信号出力部2318は、運転集中度と基準との比較結果に基づいて、運転者へ注意を与えるための指示信号を支援提供装置へ出力するか否かを判断するようにしてもよい。例えば、信号出力部2318は、情報検出部2316によって推定された運転集中度が基準よりも低い場合に、運転者へ指示信号を出力するようにしてもよい。信号出力部2318は、例えば、支援提供装置へ指示信号を出力する。信号出力部2318は、複数の指標から推定された複数の運転集中度のうちの1つ以上の運転集中度が基準よりも低い場合に指示信号を出力することができる。信号出力部2318は、複数の指標から推定された複数の運転集中度のうちの所定数以上の運転集中度が基準よりも低い場合に指示信号を出力するようにしてもよい。 Further, the signal output unit 2318 may determine whether or not to output an instruction signal for giving attention to the driver to the support providing device based on a comparison result between the driving concentration level and the reference. For example, the signal output unit 2318 may output an instruction signal to the driver when the driving concentration estimated by the information detection unit 2316 is lower than the reference. For example, the signal output unit 2318 outputs an instruction signal to the support providing apparatus. The signal output unit 2318 can output an instruction signal when one or more driving concentration degrees among a plurality of driving concentration degrees estimated from a plurality of indices are lower than a reference. The signal output unit 2318 may output an instruction signal when a predetermined number or more of the driving concentration degrees estimated from the plurality of indices is lower than the reference.
 次に、情報検出部2316による車両1の周辺の環境変化、及び車両1の運転者の状態変化の検出の例について説明する。なお、環境変化及び状態変化の検出手法は、ここで説明する例に限られるものではない。 
 図3は、情報検出部2316の構成を示すブロック図である。情報検出部2316は、一例として、環境検出部23161と、環境変化検出部23162と、局所状態検出部23163と、大局状態検出部23164と、運転者状態検出部23165と、運転者状態変化検出部23166とを備える。
Next, an example of detection of environmental changes around the vehicle 1 and changes in the state of the driver of the vehicle 1 by the information detection unit 2316 will be described. In addition, the detection method of an environmental change and a state change is not restricted to the example demonstrated here.
FIG. 3 is a block diagram illustrating a configuration of the information detection unit 2316. For example, the information detection unit 2316 includes an environment detection unit 23161, an environment change detection unit 23162, a local state detection unit 23163, a global state detection unit 23164, a driver state detection unit 23165, and a driver state change detection unit. 23166.
 環境検出部23161は、車外画像データ記憶部222からの車外画像データ、及び車両情報取得部2313からの別の車両に関する情報のうちの少なくとも一方から、車両1の周辺の環境を検出する。そして、環境変化検出部23162は、検出された車両1の周辺の環境の時間経過を追って環境変化を検出する。なお、環境検出部23161は、車外画像データ及び別の車両に関する情報のうちの少なくとも一方に、経路情報取得部2314からの経路情報、及び現在位置情報取得部2315からの現在位置情報のうちの少なくとも一方を加えて、車両1の周辺の環境を検出し、環境変化検出部23162は、検出された車両1の周辺の環境の時間経過を追って運転者が反応する可能性のある環境変化を検出する。例えば、周辺環境として、車両1の周辺の車両等が想定され、運転者が反応する可能性のある環境変化として、車両1の周辺の車両の走行等が想定される。一例を挙げると、環境変化として、車両1の周辺の走行車両の接近、併走、及び追い越し等の少なくとも何れか1つが想定される。なお、走行車両として、緊急車両を想定してもよい。 The environment detection unit 23161 detects the environment around the vehicle 1 from at least one of the vehicle exterior image data from the vehicle exterior image data storage unit 222 and the information related to another vehicle from the vehicle information acquisition unit 2313. Then, the environment change detection unit 23162 detects the environment change with the lapse of time of the environment around the detected vehicle 1. The environment detection unit 23161 includes at least one of the route information from the route information acquisition unit 2314 and the current position information from the current position information acquisition unit 2315 as at least one of the image data outside the vehicle and the information related to another vehicle. In addition, the environment around the vehicle 1 is detected, and the environment change detection unit 23162 detects an environment change in which the driver may react with the passage of time of the detected environment around the vehicle 1. . For example, a vehicle around the vehicle 1 is assumed as the surrounding environment, and a running of the vehicle around the vehicle 1 is assumed as an environmental change with which the driver may react. As an example, at least one of approaching, parallel running, overtaking, and the like of traveling vehicles around the vehicle 1 is assumed as an environmental change. An emergency vehicle may be assumed as the traveling vehicle.
 局所状態検出部23163は、運転者画像データ中の運転者の顔に含まれる器官のうちの少なくとも1つの状態を検出する。顔に含まれる器官は、例えば、眼、口、鼻及び耳であるが、これら以外であってもよい。局所状態検出部23163が眼の状態の検出する場合、局所状態検出部23163は、例えば、運転者の眼の開閉度、視線の方向及び顔の向きなどを検出する。局所状態検出部23163は、検出結果(以下、局所的な情報とも称する)を運転者状態検出部23165へ出力する。 
 大局状態検出部23164は、運転者画像データ中の運転者の大局的な状態うちの少なくとも1つの状態を検出する。大局的な状態は、例えば、運転者の動作及び姿勢などであるが、これら以外であってもよい。大局状態検出部23164は、検出結果(以下、大局的な情報とも称する)を運転者状態検出部23165へ出力する。 
 運転者状態検出部23165は、局所状態検出部23163からの局所的な情報及び大局状態検出部23164からの大局的な情報を用いて、上述の運転者の状態を検出する。さらに、運転者状態変化検出部23154は、検出された運転者の状態の時間経過を追って運転者の状態変化を検出する。 
 次に、情報検出部2316による対象認知度合いのいくつかの検出例について説明する。情報検出部2316は、監視データと対象の位置情報とを用いて、対象認知度合いを検出することができる。
The local state detection unit 23163 detects the state of at least one of the organs included in the driver's face in the driver image data. The organs included in the face are, for example, the eyes, mouth, nose and ears, but other organs may be used. When the local state detection unit 23163 detects the eye state, the local state detection unit 23163 detects, for example, the degree of opening / closing of the driver's eyes, the direction of the line of sight, and the direction of the face. Local state detection unit 23163 outputs a detection result (hereinafter also referred to as local information) to driver state detection unit 23165.
The global state detection unit 23164 detects at least one of the global states of the driver in the driver image data. The global state is, for example, the movement and posture of the driver, but may be other than these. The global state detection unit 23164 outputs a detection result (hereinafter also referred to as global information) to the driver state detection unit 23165.
The driver state detection unit 23165 detects the above-described driver state using the local information from the local state detection unit 23163 and the global information from the global state detection unit 23164. Furthermore, the driver state change detection unit 23154 detects a change in the state of the driver as time elapses in the detected state of the driver.
Next, some detection examples of the degree of object recognition by the information detection unit 2316 will be described. The information detection unit 2316 can detect the degree of object recognition using the monitoring data and the position information of the object.
 一例として、情報検出部2316は、運転者画像データの他に車外画像データを用いて、以下のように対象認知度合いの検出することができる。情報検出部2316は、対象認知度合いを検出するための対象を車外画像データから抽出する。例えば、情報検出部2316は、車外画像データを複数領域に分割して、分割された複数領域から対象を抽出する。これにより、対象の位置(方向)を検出することができる。対象は、例えば、標識及びガードレールなどの設置物、並びに建造物などであるが、運転者が視覚的に認識する可能性のあるものであれば特に限定されない。また、予め、車両に接触する可能性のある危険物の画像を登録しておくことにより、情報検出部2316は、抽出された対象と登録された危険物とのパターンマッチングから、抽出された対象が危険物か否かを判定するようにしてもよい。 As an example, the information detection unit 2316 can detect the degree of object recognition using the image data outside the vehicle in addition to the driver image data as follows. The information detection unit 2316 extracts a target for detecting the degree of object recognition from the image data outside the vehicle. For example, the information detection unit 2316 divides the image data outside the vehicle into a plurality of areas, and extracts a target from the divided plurality of areas. Thereby, the position (direction) of the object can be detected. The target is, for example, an installation such as a sign and a guardrail, and a building, but is not particularly limited as long as the driver can visually recognize the object. In addition, by registering an image of a dangerous object that may come into contact with the vehicle in advance, the information detection unit 2316 can extract the extracted object from the pattern matching between the extracted object and the registered dangerous object. It may be determined whether or not is a dangerous article.
 情報検出部2316は、対象を抽出した車外画像データの撮影されたタイミングと略同タイミングで撮影された運転者画像データから運転者の視線及び顔の向きを検出する。運転者の視線及び顔の向きは、上述のように、局所状態検出部23163で検出される。情報検出部2316は、運転者の視線及び顔の向きの少なくとも一方と対象の位置情報とを用いて、対象認知度合いを検出する。例えば、運転者の視線及び顔の向きの少なくとも一方が対象に向いている時間が所定時間以上の場合に、対象認知度合いを検出するようにしてもよい。運転者の視線及び顔の向きが対象に向くにつれ、対象認知度合いは高くなるといえる。 The information detection unit 2316 detects the driver's line of sight and the face direction from the driver image data captured at substantially the same timing as when the image data outside the vehicle from which the target was extracted was captured. The driver's line of sight and face orientation are detected by the local state detection unit 23163 as described above. The information detection unit 2316 detects the degree of object recognition using at least one of the driver's line of sight and face orientation and target position information. For example, the degree of object recognition may be detected when the time during which at least one of the driver's line of sight and the face direction is facing the object is a predetermined time or more. It can be said that the degree of object recognition increases as the driver's line of sight and face direction face the object.
 別の例として、情報検出部2316は、運転者画像データの他に経路情報及び現在位置情報を用いて、以下のように、対象認知度合いの検出をすることができる。 
 情報検出部2316は、経路情報及び現在位置情報を参照して、車両1の近傍に位置する対象を抽出する。対象は、上述のように、例えば、標識などの設置物及び建造物などであるが、運転者が視覚的に認識する可能性のあるものであれば特に限定されない。情報検出部2316は、車両1が対象の近傍を通過するタイミングと略同タイミングで撮影された運転者画像データから運転者の視線及び顔の向きを検出する。情報検出部2316は、運転者の視線及び顔の向きの少なくとも何れか一方と対象の位置情報とを用いて、対象認知度合いを検出する。
As another example, the information detection unit 2316 can detect the degree of object recognition using the route information and the current position information in addition to the driver image data as follows.
The information detection unit 2316 extracts a target located near the vehicle 1 with reference to the route information and the current position information. As described above, the target is, for example, an installation such as a sign or a building, but is not particularly limited as long as the driver can visually recognize it. The information detection unit 2316 detects the driver's line of sight and the direction of the face from the driver image data captured at approximately the same timing as the vehicle 1 passes through the vicinity of the target. The information detection unit 2316 detects the degree of object recognition using at least one of the driver's line of sight and face orientation and target position information.
 別の例として、情報検出部2316は、対象の位置及び車両1が対象の近傍を通過するタイミングを路車間通信で得るようにしてもよい。この場合、情報検出部2316は、車両1が対象の近傍を通過するタイミングと略同タイミングで撮影された運転者画像データから運転者の視線及び顔の向きを検出する。情報検出部2316は、運転者の視線及び顔の向きの少なくとも何れか一方と対象の位置情報とを用いて、対象認知度合いを検出する。 As another example, the information detection unit 2316 may obtain the target position and the timing at which the vehicle 1 passes through the vicinity of the target through road-to-vehicle communication. In this case, the information detection unit 2316 detects the driver's line of sight and the direction of the face from the driver image data captured at substantially the same timing as the vehicle 1 passes through the vicinity of the target. The information detection unit 2316 detects the degree of object recognition using at least one of the driver's line of sight and face orientation and target position information.
 別の例として、情報検出部2316は、ナビゲーション装置13のディスプレイ131に表示されるメッセージを対象として用いてもよい。この場合、情報検出部2316は、メッセージがディスプレイ131に表示されるタイミングと略同タイミングで撮影された運転者画像データから運転者の視線及び顔の向きを検出する。情報検出部2316は、運転者の視線及び顔の向きの少なくとも何れか一方と対象の位置情報とを用いて、対象認知度合いを検出する。 As another example, the information detection unit 2316 may use a message displayed on the display 131 of the navigation device 13 as a target. In this case, the information detection unit 2316 detects the driver's line of sight and the face direction from the driver image data captured at substantially the same timing as when the message is displayed on the display 131. The information detection unit 2316 detects the degree of object recognition using at least one of the driver's line of sight and face orientation and target position information.
 上述のように情報検出部2316が少なくとも監視データ及び対象の位置情報を用いることで、情報検出部2316は、対象認知度合いを指標とした運転者の状態を適切に検出することができる。 
 なお、情報検出部2316は、車両1の前後左右の何れの近傍に位置している対象を用いてもよい。情報検出部2316は、車両1の前側よりも、左側又は右側の近傍に位置している対象を用いた方が好ましい。対象が車両1の前側に位置していれば、運転者の視線及び顔はそれほど動かない。これに対して、対象が車両1の左側又は右側の近傍に位置していれば、運転者の視線及び顔は、左側又は右側へ動く。そのため、情報検出部2316は、対象認知度合いを適切に検出することができる。
As described above, when the information detection unit 2316 uses at least the monitoring data and the target position information, the information detection unit 2316 can appropriately detect the driver's state using the degree of object recognition as an index.
Note that the information detection unit 2316 may use an object located in the vicinity of the front, rear, left, or right of the vehicle 1. The information detection unit 2316 preferably uses an object located near the left side or the right side rather than the front side of the vehicle 1. If the object is located on the front side of the vehicle 1, the driver's line of sight and face do not move much. On the other hand, if the target is located near the left side or the right side of the vehicle 1, the driver's line of sight and face move to the left or right side. Therefore, the information detection unit 2316 can detect the degree of object recognition appropriately.
 (動作) 
 次に、以上のように構成されている運転状態判定装置2の動作を説明する。
 図4は、運転状態判定装置2による運転適否判定、及び自動運転制御装置14による運転制御の一例を示すフローチャートである。 
 運転状態判定装置2は、車両1の周辺の環境に関する情報、及び車両1の運転者の状態に関する情報を取得する(ステップS11)。例えば、車両1の周辺の環境に関する情報として、車外画像データ取得部2312からの車外画像データ、及び車両情報取得部2313からの車両1に近接している別の車両に関する情報のうちの少なくとも一方を取得する。さらに、経路情報取得部2314からの経路情報、及び現在位置情報取得部2315からの現在位置情報のうちの少なくとも一方を取得するようにしてもよい。また、車両1の運転者の状態に関する情報として、監視データ取得部2311は、運転者画像データ及び運転者生体情報のうちの少なくとも一方を取得する。また、車両1の運転者の状態に関する情報として、対象認知度合いの情報を取得するようにしてもよい。
(Operation)
Next, operation | movement of the driving | running state determination apparatus 2 comprised as mentioned above is demonstrated.
FIG. 4 is a flowchart showing an example of driving suitability determination by the driving state determination device 2 and driving control by the automatic driving control device 14.
The driving state determination device 2 acquires information about the environment around the vehicle 1 and information about the state of the driver of the vehicle 1 (step S11). For example, as information about the environment around the vehicle 1, at least one of the information about the outside image data from the outside image data acquisition unit 2312 and the information about another vehicle close to the vehicle 1 from the vehicle information acquisition unit 2313 is used. get. Furthermore, at least one of the route information from the route information acquisition unit 2314 and the current position information from the current position information acquisition unit 2315 may be acquired. Moreover, the monitoring data acquisition part 2311 acquires at least one of driver image data and driver biometric information as information regarding the state of the driver of the vehicle 1. Moreover, you may make it acquire the information of object recognition degree as information regarding the driver | operator's state of the vehicle 1. FIG.
 情報検出部2316は、車両1の周辺の環境に関する情報から環境変化を検出する(ステップS12)。例えば、運転状態判定部2317は、環境変化が検出された場合に、運転者の状態が変化するか変化しないかを検出して運転適否を判定する。環境変化が検出されなければ運転適否を判定しなくてもよい。また、情報検出部2316は、車両1の運転者の状態に関する情報から車両1の運転者の状態変化を検出する(ステップS12)。 The information detection unit 2316 detects an environmental change from information related to the environment around the vehicle 1 (step S12). For example, when an environmental change is detected, the driving state determination unit 2317 detects whether the driver's state changes or does not change, and determines whether or not driving is appropriate. If no environmental change is detected, it is not necessary to determine whether or not driving is appropriate. Moreover, the information detection part 2316 detects the state change of the driver | operator of the vehicle 1 from the information regarding the state of the driver | operator of the vehicle 1 (step S12).
 運転状態判定部2317は、環境変化及び状態変化の関係に基づき運転適否を判定する(ステップS13)。運転適否判定については後に詳しく説明する。信号出力部2318は、運転適否の判定結果に応じた信号を出力する(ステップS14)。例えば、信号出力部2318は、運転適切又は運転不適切を示す信号を出力してもよいし、運転不適切の判定結果に応じて警告等の支援の実行を指示する指示信号を出力してもよいし、運転適否の判定結果に応じて運転モードの切り替え(自動運転モードと手動運転モードとの間の切り替え)を制御する制御信号を出力してもよい。信号出力については後に詳しく説明する。
 また、自動運転制御装置14は、運転適否の判定結果に応じた信号に基づき運転を制御する(ステップS15)。運転制御については後に詳しく説明する。
The driving state determination unit 2317 determines driving suitability based on the relationship between the environmental change and the state change (step S13). The driving suitability determination will be described in detail later. The signal output unit 2318 outputs a signal corresponding to the determination result of driving suitability (step S14). For example, the signal output unit 2318 may output a signal indicating appropriate driving or inappropriate driving, or may output an instruction signal instructing execution of assistance such as warning according to a determination result of inappropriate driving. Alternatively, a control signal for controlling switching of the operation mode (switching between the automatic operation mode and the manual operation mode) may be output according to the determination result of the suitability for operation. The signal output will be described in detail later.
Further, the automatic driving control device 14 controls driving based on a signal corresponding to the determination result of driving suitability (step S15). The operation control will be described in detail later.
 ここで、上記の制御信号について補足する。例えば、自動運転中に運転不適切が判定された場合には、信号出力部2318は、自動運転モードから手動運転モードへの切り替えを許可しない制御信号を出力してもよい。この制御信号を受けた自動運転制御部14は、この制御信号に従い、手動運転モードへの切り替え要求を受けても、手動運転モードへの切り替えを実行しない。また、自動運転中に運転適切が判定された場合には、信号出力部2318は、自動運転モードから手動運転モードへの切り替えを許可する制御信号を出力してもよい。この制御信号を受けた自動運転制御部14は、この制御信号に従い、手動運転モードへの切り替え要求を受けた場合には、手動運転モードへの切り替えを実行する。 Here, we will supplement the above control signals. For example, when it is determined that driving is inappropriate during automatic driving, the signal output unit 2318 may output a control signal that does not permit switching from the automatic driving mode to the manual driving mode. The automatic operation control unit 14 that has received this control signal does not execute the switching to the manual operation mode according to the control signal, even if it receives a request to switch to the manual operation mode. In addition, when it is determined that driving is appropriate during automatic driving, the signal output unit 2318 may output a control signal that permits switching from the automatic driving mode to the manual driving mode. Upon receiving this control signal, the automatic operation control unit 14 executes switching to the manual operation mode when receiving a request for switching to the manual operation mode according to the control signal.
 また、手動運転中に運転不適切が判定された場合には、信号出力部2318は、手動運転モードから自動運転モードへの切り替え制御信号を出力してもよい。この制御信号を受けた自動運転制御部14は、この制御信号に従い、手動運転モードを自動運転モードへ切り替える。 In addition, when it is determined that driving is inappropriate during manual driving, the signal output unit 2318 may output a switching control signal from the manual driving mode to the automatic driving mode. Upon receiving this control signal, the automatic operation control unit 14 switches the manual operation mode to the automatic operation mode in accordance with this control signal.
 また、自動運転中に運転不適切が判定された場合には、信号出力部2318は、自動運転モードの継続を要求する制御信号を出力してもよい。この制御信号を受けた自動運転制御部14は、この制御信号に従い、自動運転モードを継続し、手動運転モードへの切り替え要求を受けても、手動運転モードへの切り替えを実行しない。 In addition, when it is determined that driving is inappropriate during automatic driving, the signal output unit 2318 may output a control signal that requests the continuation of the automatic driving mode. Upon receiving this control signal, the automatic operation control unit 14 continues the automatic operation mode in accordance with this control signal, and does not execute the switch to the manual operation mode even if a request for switching to the manual operation mode is received.
 図5は、運転状態判定装置2による運転適否判定の一例を示すフローチャートである。 FIG. 5 is a flowchart showing an example of driving suitability determination by the driving state determination device 2.
 運転状態判定部2317は、環境変化と状態変化の対応関係を調べる(ステップS1311)。運転状態判定部2317は、環境変化の検出タイミングと状態変化の検出タイミングに相関性有りと判定した場合に、環境変化の検出に対応した状態変化有りと判定する(ステップS1311、YES)。例えば、環境変化の検出から所定時間以内に状態変化が検出されるケースを環境変化の検出に対応した状態変化有りと判定する。一例を挙げると、車両(緊急車両含む)の接近、併走、及び追い越し等の事象が発生すると、情報検出部2316は、この事象の発生に対応する環境変化を検出する。また、運転者がこの事象の発生に対応して所定時間以内(例えば1秒以内)に何らかの反応、びっくりするなどの反応を示した場合、情報検出部2316は、この反応に対応する状態変化を検出する。これにより、運転状態判定部2317は、環境変化の検出に対応した状態変化有りと判定する(ステップS1311、YES)。なお、視線方向、顔の向き、血圧、及び脈拍の変動のうちの1以上から状態変化を検出する。 The driving state determination unit 2317 checks the correspondence between the environmental change and the state change (step S1311). When it is determined that there is a correlation between the detection timing of the environmental change and the detection timing of the state change, the driving state determination unit 2317 determines that there is a state change corresponding to the detection of the environmental change (YES in step S1311). For example, a case where a state change is detected within a predetermined time from the detection of the environmental change is determined to be a state change corresponding to the detection of the environmental change. For example, when an event such as approaching, parallel running, and overtaking of a vehicle (including an emergency vehicle) occurs, the information detection unit 2316 detects an environmental change corresponding to the occurrence of this event. In addition, when the driver shows some kind of reaction or a startle reaction within a predetermined time (for example, within 1 second) in response to the occurrence of this event, the information detection unit 2316 displays a state change corresponding to this reaction. To detect. Thereby, the driving | running state determination part 2317 determines with the state change corresponding to the detection of an environmental change (step S1311, YES). A state change is detected from one or more of the line-of-sight direction, face direction, blood pressure, and pulse fluctuation.
 運転状態判定部2317は、環境変化の検出に対応した状態変化が検出される場合には(ステップS1311、YES)、運転が適切であると判定する(ステップS1313)。また、運転状態判定部2317は、環境変化の検出に対応した状態変化が検出されない場合、つまり、環境変化の検出に対応した状態変化が未検出の場合には(ステップS1311、NO)、運転が不適切であると判定する(ステップS1312)。 When the state change corresponding to the detection of the environmental change is detected (step S1311, YES), the driving state determination unit 2317 determines that the driving is appropriate (step S1313). In addition, when the state change corresponding to the detection of the environmental change is not detected, that is, when the state change corresponding to the detection of the environmental change is not detected (step S1311, NO), the driving state determination unit 2317 performs the driving. It is determined that it is inappropriate (step S1312).
 上記したように、車両(緊急車両含む)の接近、併走、及び追い越し等の事象が発生すると、一般的に、運転に適切な集中力を持つ運転者はこの事象の発生に反応する。つまり、運転状態判定部2317は、環境変化が検出されるタイミングに対応して状態変化が検出される場合には運転が適切な状態であると判定し、検出されない場合には運転が不適切な状態であると判定する。例えば、運転者の視線が車両1の進行方向に向いているが、環境変化が生じても、反応が小さい場合又は無反応の場合には状態変化が無いと判定され、運転が不適切な状態であると判定される。 As described above, when an event such as approach of a vehicle (including an emergency vehicle), parallel running, and overtaking occurs, in general, a driver having a concentration appropriate for driving reacts to the occurrence of this event. That is, the driving state determination unit 2317 determines that the driving is in an appropriate state when a state change is detected corresponding to the timing at which an environmental change is detected, and the driving state is inappropriate when the change is not detected. It is determined that it is in a state. For example, the driver's line of sight is directed in the direction of travel of the vehicle 1, but even if the environmental change occurs, it is determined that there is no state change when the reaction is small or no reaction, and the driving is inappropriate. It is determined that
 例えば、運転状態判定部2317は、自動運転モードの実行中に運転が不適切であると判定した場合には(ステップS1314、YES)、自動運転モードの継続を要求するようにしてもよい(ステップS1315)。これにより、信号出力部2318は、自動運転モードの継続要求を示す信号を出力する。或いは、運転状態判定部2317は、自動運転モードの実行中に運転が不適切であると判定した場合には、自動運転モードから手動運転モードへの切り替えを拒否するようにしてもよい。これにより、信号出力部2318は、自動運転モードから手動運転モードへの切り替え拒否を示す信号を出力する。 For example, if the driving state determination unit 2317 determines that driving is inappropriate during execution of the automatic driving mode (step S1314, YES), the driving state determination unit 2317 may request to continue the automatic driving mode (step S1314). S1315). Thereby, the signal output unit 2318 outputs a signal indicating a request to continue the automatic operation mode. Alternatively, when the operation state determination unit 2317 determines that the operation is inappropriate during the execution of the automatic operation mode, the operation state determination unit 2317 may reject switching from the automatic operation mode to the manual operation mode. Thereby, the signal output unit 2318 outputs a signal indicating rejection of switching from the automatic operation mode to the manual operation mode.
 また、運転状態判定部2317は、手動運転モードの実行中に運転が不適切であると判定した場合には(ステップS1314、NO)、手動運転モードから自動運転モードへの切り替えを要求するようにしてもよい(ステップS1316)。これにより、信号出力部2318は、手動運転モードから自動運転モードへの切り替え要求を示す信号を出力する。 In addition, when the operation state determination unit 2317 determines that the operation is inappropriate during the execution of the manual operation mode (NO in step S1314), the operation state determination unit 2317 requests to switch from the manual operation mode to the automatic operation mode. (Step S1316). Thereby, the signal output unit 2318 outputs a signal indicating a request for switching from the manual operation mode to the automatic operation mode.
 図6は、自動運転制御装置14による運転制御の一例を示すフローチャートである。 
 例えば、運転状態判定部2317が運転適否を判定し、信号出力部2318が運転適切又は運転不適切を示す信号を出力するケースを前提として、本ケースにおける自動運転制御装置14の運転制御の一例について説明する。
FIG. 6 is a flowchart illustrating an example of operation control by the automatic operation control device 14.
For example, on the assumption that the driving state determination unit 2317 determines whether driving is appropriate and the signal output unit 2318 outputs a signal indicating appropriate driving or inappropriate driving, an example of the driving control of the automatic driving control device 14 in this case will be described. explain.
 自動運転制御装置14は、信号出力部2318から運転適切又は運転不適切を示す信号を受けている。自動運転制御装置14は、自動運転モードの実行中において(ステップS1511、YES)、手動運転モードの要求を受け(ステップS1512、YES)、運転不適切を示す信号を受けている場合には(ステップS1513、YES)、手動運転モードを拒否して(ステップS1514)、自動運転モードを維持する(ステップS1515)。 The automatic operation control device 14 receives a signal indicating appropriate operation or inappropriate operation from the signal output unit 2318. The automatic operation control device 14 receives a request for the manual operation mode (step S1512, YES) during execution of the automatic operation mode (step S1511, YES), and receives a signal indicating inappropriate operation (step S1512). (S1513, YES), the manual operation mode is rejected (step S1514), and the automatic operation mode is maintained (step S1515).
 また、自動運転制御装置14は、自動運転モードの実行中において(ステップS1511、YES)、手動運転モードの要求を受け(ステップS1512、YES)、運転適切を示す信号を受けている場合には(ステップS1513、NO)、自動運転モードを手動運転モードへ切り替える(ステップS1516)。 In addition, the automatic operation control device 14 receives a request for the manual operation mode (step S1512, YES) during execution of the automatic operation mode (step S1511, YES), and receives a signal indicating appropriate operation (step S1512, YES). In step S1513, NO), the automatic operation mode is switched to the manual operation mode (step S1516).
 また、自動運転制御装置14は、手動運転モードの実行中において(ステップS1511、NO)(ステップS1517)、運転不適切を示す信号を受けた場合には(ステップS1518、YES)、手動運転モードを自動運転モードへ切り替える(ステップS1519)。さらに、自動運転制御装置14は、自動運転モードを実行して、車両1を減速又は停止するようにしてもよい。 In addition, when the automatic operation control device 14 receives the signal indicating inappropriate operation (step S1518, YES) during execution of the manual operation mode (step S1511, NO) (step S1517), the automatic operation control device 14 changes the manual operation mode. The mode is switched to the automatic operation mode (step S1519). Furthermore, the automatic driving control device 14 may execute the automatic driving mode to decelerate or stop the vehicle 1.
 (効果)
 以上詳述したようにこの発明の一実施形態では、運転状態判定装置2は、車両1の周辺の環境変化及び車両の運転者の状態変化の関係に基づき運転適否を判定することができる。例えば、緊急車両等の接近、併走、及び追い越し等の事象が発生すると、この事象の発生に対応する環境変化が検出される。また、一般的に、運転に集中している運転者であればこの事象の発生に対してびっくりするなどの反応を示し、この反応に対応する運転者の状態変化が検出される。運転に集中していない運転者であればこの事象の発生に対する反応が鈍い又は反応しないことから、環境変化に対応する状態変化が検出されない。つまり、環境変化及び状態変化の対応関係から運転者が運転に適した状態か否かを精度良く判定することができる。また、運転適否の判定結果に応じた信号を出力するので、この信号を運転制御に利用し安全性の向上を図ることができる。
(effect)
As described above in detail, in one embodiment of the present invention, the driving state determination device 2 can determine driving suitability based on the relationship between the environmental change around the vehicle 1 and the state change of the driver of the vehicle. For example, when an event such as approach, parallel running, and overtaking of an emergency vehicle or the like occurs, an environmental change corresponding to the occurrence of this event is detected. In general, a driver who is concentrating on driving shows a reaction such as surprise at the occurrence of this event, and a change in the state of the driver corresponding to this reaction is detected. If the driver is not focused on driving, the response to the occurrence of this event is dull or unresponsive, and therefore a state change corresponding to the environmental change is not detected. That is, it is possible to accurately determine whether or not the driver is in a state suitable for driving from the correspondence relationship between the environmental change and the state change. In addition, since a signal corresponding to the determination result of driving suitability is output, this signal can be used for driving control to improve safety.
 例えば、環境変化に対応した状態変化が検出されない場合に、つまり、環境が変化しているにもかかわらず運転者の状態が変化しない場合に、運転が不適切であると判定することができる。例えば、緊急車両等の接近、併走、及び追い越し等の事象が発生しているにもかかわらず、運転者が前を向いたまま無反応であるような場合に、運転が不適切であると判定することができる。例えば、手動運転モードの実行中であれば、この運転不適切の判定に基づき、ナビゲーション装置13及び音声出力装置16から例えばレベル1の警告を発するようにしてもよい。また、自動運転モードの実行中であっても、ある程度の運転集中度を要求する場合、この運転不適切の判定に基づき、ナビゲーション装置13及び音声出力装置16から例えばレベル1より低いレベル2の警告を発するようにしてもよい。 For example, when the state change corresponding to the environmental change is not detected, that is, when the driver's state does not change despite the environmental change, it can be determined that the driving is inappropriate. For example, it is determined that driving is inappropriate when an event such as approaching, parallel running, and overtaking of an emergency vehicle has occurred and the driver remains unresponsive while facing forward. can do. For example, if the manual operation mode is being executed, for example, a level 1 warning may be issued from the navigation device 13 and the audio output device 16 based on the determination of inappropriate driving. Further, even when the automatic driving mode is being executed, when a certain degree of driving concentration is requested, a warning of level 2 lower than level 1, for example, is issued from the navigation device 13 and the voice output device 16 based on the determination of inappropriate driving. May be issued.
 例えば、自動運転モードの実行中に環境変化に対応した状態変化が検出されない場合に、つまり、環境が変化しているにもかかわらず運転者の状態が変化しない場合に、手動運転モードによる運転が不適切であると判定することができる。例えば、自動運転モードの実行中の睡眠から未だ十分に覚醒していないような状態を手動運転モードによる運転が不適切であると判定することができる。例えば、ナビゲーション装置13から青色光を発して運転者に覚醒作用を与えるようにしてもよい。 For example, when the state change corresponding to the environmental change is not detected during execution of the automatic driving mode, that is, when the driver's state does not change despite the environmental change, the driving in the manual driving mode is not performed. It can be determined to be inappropriate. For example, it is possible to determine that driving in the manual driving mode is inappropriate for a state in which the user is not yet sufficiently awake from sleep during execution of the automatic driving mode. For example, blue light may be emitted from the navigation device 13 to give the driver an awakening action.
 例えば、運転者の視線動向の変化及び運転者の生体情報の変化のうちの少なくとも一方に基づき状態変化を検出することにより、精度良く運転の適否を判定することができる。一般的に、運転に集中している運転者であれば環境変化に応じて視線動向が変化することが多い。また、運転に集中している運転者であれば環境変化に応じて血圧又は脈拍が変動することが多い。判定精度を上げるため、視線動向の変化及び生体情報の変化から総合的に状態変化を判定するようにしてもよい。 For example, the suitability of driving can be determined with high accuracy by detecting a state change based on at least one of a change in the driver's line-of-sight trend and a change in the driver's biological information. In general, a driver who concentrates on driving often changes the line-of-sight trend in accordance with environmental changes. In addition, if the driver is concentrating on driving, the blood pressure or the pulse often fluctuates according to environmental changes. In order to increase the determination accuracy, the state change may be comprehensively determined from the change in the line-of-sight trend and the change in the biological information.
 例えば、環境変化の指標として緊急車両の走行を適用することにより、緊急車両の走行時における危険を回避することができる。例えば、緊急車両が走行しているのにもかかわらず、運転者の状態変化が検出されない場合には、運転者は運転不適切な状態である。このような場合に、自動運転モードを実行して、又は手動運転モードから自動運転モードへ切り替えて、車両1を路肩に寄せる、減速する、又は停止することにより、危険を回避することができる。 For example, by applying emergency vehicle travel as an indicator of environmental changes, it is possible to avoid danger during travel of the emergency vehicle. For example, if the driver's state change is not detected even though the emergency vehicle is traveling, the driver is in an inappropriate driving state. In such a case, the danger can be avoided by executing the automatic operation mode or switching from the manual operation mode to the automatic operation mode to bring the vehicle 1 to the road shoulder, decelerate, or stop.
 例えば、自動運転モードの実行中の運転不適の判定結果に基づき自動運転モードの継続を要求する信号を出力するので、運転が不適切な状態で自動運転モードから手動運転モードに切り替わるのを防ぎ、安全性の向上を図ることができる。例えば、運転者が十分に覚醒していない状態で、自動運転モードから手動運転モードへ切り替えようとしても、自動運転モードが維持され安全性が確保できる。 For example, since a signal requesting continuation of the automatic operation mode is output based on the determination result of the inappropriate operation during execution of the automatic operation mode, it is possible to prevent switching from the automatic operation mode to the manual operation mode in an inappropriate state of operation, Safety can be improved. For example, even if the driver is not sufficiently awakened and tries to switch from the automatic operation mode to the manual operation mode, the automatic operation mode is maintained and safety can be ensured.
 例えば、手動運転モードの実行中の運転不適の判定結果に基づき手動運転モードから自動運転モードへの切り替えを要求する信号を出力するので、手動運転モードから自動運転モードへ切り替えて、安全性の向上を図ることができる。 For example, a signal that requests switching from the manual operation mode to the automatic operation mode is output based on the determination result of the inappropriate operation during execution of the manual operation mode, so the safety is improved by switching from the manual operation mode to the automatic operation mode. Can be achieved.
 [他の実施形態] 
 以下、いくつかの他の実施形態について説明する。 
 車外カメラ6及び通信装置17等により環境情報を検出することについて説明したが、さらに、車両1の外側にマイクを設置して外部の騒音及びサイレン等の音を集音し、集音さえた情報に基づき環境情報を検出するようにしてもよい。例えば、緊急車両の走行の検出精度を高めることができる。
[Other Embodiments]
Hereinafter, some other embodiments will be described.
Although it has been described that environmental information is detected by the outside camera 6 and the communication device 17 and the like, further, a microphone is installed outside the vehicle 1 to collect external noise and sounds such as sirens, and even collected information The environmental information may be detected based on the above. For example, the detection accuracy of emergency vehicle travel can be increased.
 また、車両1が環境変化を所定のタイミングで発生させるようにしてもよい。例えば、運転状態判定装置2からの環境変化発生の指示に基づき、ナビゲーション装置13のディスプレイ131により警告画像を表示するようにしてもよい。また、運転状態判定装置2からの環境変化発生の指示に基づき、音声出力装置16から警告音を出力するようにしてもよい。この場合、環境変化の検出が容易になる。また、環境変化を任意のタイミングで発生させることができる。例えば、運転者の集中度が低下している可能性がある場合に、環境変化を発生させて、運転適否を判定することができる。 Further, the vehicle 1 may cause an environmental change to occur at a predetermined timing. For example, a warning image may be displayed on the display 131 of the navigation device 13 based on an instruction to generate an environmental change from the driving state determination device 2. In addition, a warning sound may be output from the sound output device 16 based on an instruction to generate an environmental change from the driving state determination device 2. In this case, it becomes easy to detect environmental changes. Moreover, an environmental change can be generated at an arbitrary timing. For example, when there is a possibility that the driver's concentration level is lowered, it is possible to determine whether or not driving is appropriate by generating an environmental change.
 要するにこの発明は、上記実施形態そのままに限定されるものではなく、実施段階ではその要旨を逸脱しない範囲で構成要素を変形して具体化できる。また、上記実施形態に開示されている複数の構成要素の適宜な組み合せにより種々の発明を形成できる。例えば、実施形態に示される全構成要素からいくつかの構成要素を削除してもよい。さらに、異なる実施形態に亘る構成要素を適宜組み合わせてもよい。 In short, the present invention is not limited to the above-described embodiment as it is, and can be embodied by modifying the constituent elements without departing from the scope of the invention in the implementation stage. Further, various inventions can be formed by appropriately combining a plurality of constituent elements disclosed in the embodiment. For example, some components may be deleted from all the components shown in the embodiment. Furthermore, you may combine the component covering different embodiment suitably.
 また、上記実施形態は、プロセッサ231が備える各部の処理をプロセッサ231に機能させるプログラムを記憶するROM(Read Only Memory)等の記憶媒体によって実現されてもよい。 In addition, the above-described embodiment may be realized by a storage medium such as a ROM (Read Only Memory) that stores a program that causes the processor 231 to perform processing of each unit included in the processor 231.
 上記の実施形態の一部又は全部は、以下の付記のようにも記載され得るが、以下には限られるものではない。 
 (付記1)
 車両の周辺の環境及び前記車両の運転者の状態に関する情報を取得し、
 前記情報から環境変化及び状態変化を検出し、
 前記環境変化及び前記状態変化の関係に基づき運転適否を判定し、
 運転適否の判定結果に応じた信号を出力するように構成されているプロセッサと、
 前記プロセッサを動作させる命令を記憶するメモリと、
 を備える運転状態判定装置。
A part or all of the above embodiment can be described as in the following supplementary notes, but is not limited thereto.
(Appendix 1)
Obtaining information about the environment around the vehicle and the state of the driver of the vehicle,
Detect environmental changes and state changes from the information,
Judging driving suitability based on the relationship between the environmental change and the state change,
A processor configured to output a signal corresponding to the determination result of driving suitability;
A memory for storing instructions for operating the processor;
A driving state determination device comprising:
 (付記2)
 少なくとも1つのプロセッサを用いて、
 車両の周辺の環境及び前記車両の運転者の状態に関する情報を取得し、
 前記情報から環境変化及び状態変化を検出し、
 前記環境変化及び前記状態変化の関係に基づき運転適否を判定し、
 運転適否の判定結果に応じた信号を出力する、運転状態判定方法。
(Appendix 2)
With at least one processor,
Obtaining information about the environment around the vehicle and the state of the driver of the vehicle,
Detect environmental changes and state changes from the information,
Judging driving suitability based on the relationship between the environmental change and the state change,
A driving state determination method that outputs a signal according to a determination result of driving suitability.

Claims (10)

  1.  車両の周辺の環境及び前記車両の運転者の状態に関する情報を取得する情報取得部と、
     前記情報から環境変化及び状態変化を検出する情報検出部と、
     前記環境変化及び前記状態変化の関係に基づき運転適否を判定する運転状態判定部と、
     運転適否の判定結果に応じた信号を出力する信号出力部と、
     を備える運転状態判定装置。
    An information acquisition unit for acquiring information about the environment around the vehicle and the state of the driver of the vehicle;
    An information detector for detecting environmental changes and state changes from the information;
    A driving state determination unit that determines driving suitability based on the relationship between the environmental change and the state change;
    A signal output unit that outputs a signal according to the determination result of driving suitability;
    A driving state determination device comprising:
  2.  前記運転状態判定部は、前記環境変化に対応した前記状態変化が検出されない場合に、運転が不適切であると判定する請求項1に記載の運転状態判定装置。 The driving state determination device according to claim 1, wherein the driving state determination unit determines that driving is inappropriate when the state change corresponding to the environmental change is not detected.
  3.  前記情報検出部は、前記運転者の視線動向の変化及び前記運転者の生体情報の変化のうちの少なくとも一方に基づき前記状態変化を検出する請求項1または2に記載の運転状態判定装置。 3. The driving state determination device according to claim 1, wherein the information detection unit detects the state change based on at least one of a change in the driver's line-of-sight trend and a change in the driver's biological information.
  4.  前記情報検出部は、緊急車両の走行に対応する前記環境変化を検出する請求項1から3の何れか1項に記載の運転状態判定装置。 The driving state determination apparatus according to any one of claims 1 to 3, wherein the information detection unit detects the environmental change corresponding to travel of an emergency vehicle.
  5.  前記信号出力部は、運転が不適切であると判定された場合に、前記運転者に対する支援の実行を指示する指示信号を出力する請求項1から4の何れか1項に記載の運転状態判定装置。 The driving state determination according to any one of claims 1 to 4, wherein the signal output unit outputs an instruction signal instructing execution of assistance to the driver when it is determined that driving is inappropriate. apparatus.
  6.  前記信号出力部は、前記運転適否の判定結果に基づき、自動運転モードと手動運転モードとの間の切り替えを制御する制御信号を出力する請求項1から5の何れか1項に記載の運転状態判定装置。 The operation state according to any one of claims 1 to 5, wherein the signal output unit outputs a control signal for controlling switching between the automatic operation mode and the manual operation mode based on the determination result of the suitability for operation. Judgment device.
  7.  前記信号出力部は、自動運転モードの実行中に運転が不適切であると判定された場合に、前記自動運転モードから前記手動運転モードへの切り替えを行わず、前記自動運転モードを維持する前記制御信号を出力する請求項6に記載の運転状態判定装置。 The signal output unit maintains the automatic operation mode without switching from the automatic operation mode to the manual operation mode when it is determined that the operation is inappropriate during execution of the automatic operation mode. The driving | running state determination apparatus of Claim 6 which outputs a control signal.
  8.  前記信号出力部は、前記手動運転モードの実行中に運転が不適切であると判定された場合に、前記手動運転モードから前記自動運転モードへの切り替えを要求する前記制御信号を出力する請求項6または7に記載の運転状態判定装置。 The signal output unit outputs the control signal for requesting switching from the manual operation mode to the automatic operation mode when it is determined that the operation is inappropriate during execution of the manual operation mode. The driving | running state determination apparatus of 6 or 7.
  9.  車両の周辺の環境及び前記車両の運転者の状態に関する情報を取得する情報取得過程と、
     前記情報から環境変化及び状態変化を検出する情報検出過程と、
     前記環境変化及び前記状態変化の関係に基づき運転適否を判定する運転状態判定過程と、
     運転適否の判定結果に応じた信号を出力する信号出力過程と、
     を備える運転状態判定方法。
    An information acquisition process for acquiring information about the environment around the vehicle and the state of the driver of the vehicle;
    An information detection process for detecting environmental changes and state changes from the information;
    A driving state determination process for determining driving suitability based on the relationship between the environmental change and the state change;
    A signal output process for outputting a signal according to the determination result of driving suitability;
    A driving state determination method comprising:
  10.  請求項1から8の何れか1項に記載の運転状態判定装置が備える各部としてコンピュータを機能させる運転状態判定のためのプログラム。 A program for operating state determination that causes a computer to function as each unit included in the operating state determination device according to any one of claims 1 to 8.
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