WO2021192526A1 - Dispositif de traitement d'information, procédé de traitement d'information, programme de traitement d'information et support de stockage - Google Patents

Dispositif de traitement d'information, procédé de traitement d'information, programme de traitement d'information et support de stockage Download PDF

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Publication number
WO2021192526A1
WO2021192526A1 PCT/JP2021/001127 JP2021001127W WO2021192526A1 WO 2021192526 A1 WO2021192526 A1 WO 2021192526A1 JP 2021001127 W JP2021001127 W JP 2021001127W WO 2021192526 A1 WO2021192526 A1 WO 2021192526A1
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Prior art keywords
information processing
information
occupant
unit
route
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PCT/JP2021/001127
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English (en)
Japanese (ja)
Inventor
祥子 佐藤
智也 大石
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パイオニア株式会社
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Priority to JP2022509302A priority Critical patent/JPWO2021192526A1/ja
Publication of WO2021192526A1 publication Critical patent/WO2021192526A1/fr

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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
    • G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
    • G09B29/00—Maps; Plans; Charts; Diagrams, e.g. route diagram

Definitions

  • the present invention relates to an information processing device, an information processing method, an information processing program, and a storage medium.
  • Non-Patent Document 1 an automobile having an automatic driving function, a low floor, a vast interior space with a box-shaped design, and being able to be equipped with equipment corresponding to various services has been proposed (see, for example, Non-Patent Document 1).
  • the present invention has been made in view of the above, and an object of the present invention is to provide an information processing device, an information processing method, an information processing program, and a storage medium that can propose efficient use of travel time.
  • the information processing device is for an acquisition unit that acquires information on a traveling route of a moving body and an occupant who is a occupant of the moving body and is not in operation according to the information acquired by the acquisition unit. It is characterized by having an operation determining unit for determining a recommended operation and a notification unit for notifying information on the operation determined by the operation determining unit.
  • the information processing method is an information processing method executed by an information processing apparatus, and is based on an acquisition step of acquiring information on a traveling route of a moving body and information acquired by the acquisition step. It is characterized by including an operation determination step for determining a recommended operation for an occupant of the moving body who is not in operation, and a notification step for notifying information about the operation determined by the operation determination step.
  • the information processing program according to claim 8 applies to an acquisition step for acquiring information on a traveling route of a moving body and an occupant who is a occupant of the moving body and is not driving according to the information acquired by the acquisition step.
  • the computer is made to execute an operation determination step for determining a recommended operation and a notification step for notifying information about the operation determined by the operation determination step.
  • the storage medium according to claim 9 is recommended for an acquisition step for acquiring information on a traveling route of a moving object and for an occupant who is an occupant of the moving object and is not in operation according to the information acquired by the acquisition step. It is characterized in that it stores an information processing program for causing a computer to execute an operation determination step for determining an operation to be performed and a notification step for notifying information about an operation determined by the operation determination step.
  • the information processing apparatus is the acquisition unit that acquires information on a series of operations performed by an occupant who is a mobile occupant and is not in operation, and the information processing device according to the information acquired by the acquisition unit. It is characterized by having a route determining unit for determining a traveling route of a moving body.
  • the information processing method according to claim 12 is an information processing method executed by an information processing apparatus, which includes an acquisition step of acquiring information on a series of operations performed by a moving occupant who is not in operation. It is characterized by including a route determination step for determining a traveling route of the moving body according to the information acquired by the acquisition step.
  • the information processing program according to claim 13 is described in accordance with an acquisition step of acquiring information regarding a series of operations performed by a moving occupant who is not driving, and information acquired by the acquisition step. Have the computer perform a route determination step that determines the travel route of the moving object.
  • the storage medium according to claim 14 has an acquisition step of acquiring information about a series of operations performed by a moving occupant who is not in operation, and the movement according to the information acquired by the acquisition step. It is characterized by storing an information processing program for causing a computer to execute a route determination step for determining a traveling route of a body.
  • FIG. 1 is a block diagram showing a configuration of an information processing system according to an embodiment.
  • FIG. 2 is a block diagram showing a configuration example of the vehicle control device.
  • FIG. 3 is a block diagram showing a configuration example of the information processing device.
  • FIG. 4 is a diagram showing an example of the data structure of the occupant DB.
  • FIG. 5 is a diagram showing an example of the data structure of the history DB.
  • FIG. 6 is a diagram showing an example of the data structure of the operation DB.
  • FIG. 7 is a diagram showing an example of the shape of the route.
  • FIG. 8 is a diagram showing an example of a conversation between an agent and an occupant.
  • FIG. 9 is a diagram showing an example of a conversation between an agent and an occupant.
  • FIG. 9 is a diagram showing an example of a conversation between an agent and an occupant.
  • FIG. 10 is a diagram showing an example of a conversation between an agent and an occupant.
  • FIG. 11 is a flowchart showing an example of the information processing method.
  • FIG. 12 is a flowchart showing an example of the information processing method.
  • FIG. 13 is a flowchart showing an example of the information processing method.
  • FIG. 1 is a block diagram showing a configuration of an information processing system according to an embodiment.
  • the information processing system 1 provides the occupants of the vehicle VE with information on the operation based on the information on the movement of the vehicle VE which is a moving body. Further, the information processing system 1 controls the vehicle VE according to the movement of the occupant.
  • the vehicle VE in the present embodiment is assumed to be a vehicle having a vast interior space as described in Non-Patent Document 1.
  • the information processing system 1 includes a vehicle control device 10 and an information processing device 20. Further, the vehicle control device 10 and the information processing device 20 are communicably connected via the network NE.
  • the network NE is, for example, the Internet.
  • the number of information processing devices 20 and vehicle VEs included in the information processing system 1 is not limited to that shown in FIG.
  • the information processing device 20 may be connected to a vehicle control device 10 provided in each of the plurality of vehicle VEs.
  • FIG. 2 is a block diagram showing a configuration example of the vehicle control device.
  • the vehicle control device 10 is, for example, a computer having a function as an ECU (Engine Control Unit). Further, the vehicle control device 10 may be, for example, a stationary navigation device or a drive recorder installed in the vehicle VE. Further, the vehicle control device 10 may be a system realized by combining a stationary device and a terminal device such as a smartphone used by an occupant. As shown in FIG. 2, the vehicle control device 10 includes a communication unit 11, a control unit 12, a storage unit 13, an input unit 14, an output unit 15, an imaging unit 16, and a sensor unit 17.
  • the communication unit 11 transmits and receives information to and from the information processing device 20 via the network NE under the control of the control unit 12.
  • the control unit 12 is realized by executing various programs stored in the storage unit 13 by a controller such as a CPU (Central Processing Unit) or an MPU (Micro Processing Unit), and controls the operation of the entire vehicle control device 10. do.
  • a controller such as a CPU (Central Processing Unit) or an MPU (Micro Processing Unit), and controls the operation of the entire vehicle control device 10. do.
  • the control unit 12 is not limited to the CPU and MPU, but may be realized by an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array).
  • the storage unit 13 stores various programs executed by the control unit 12, data necessary for executing processing by the control unit 12, and the like.
  • the input unit 14 is an interface for receiving data input via an input device.
  • the input unit 14 can accept input by text, voice, or the like.
  • the input unit 14 receives an input by voice.
  • the input unit 14 generates voice information by performing A / D (Analog / Digital) conversion or the like on an electric signal input via a microphone provided in the vehicle VE. It is assumed that the voice information generated by the input unit 14 is a digital signal.
  • the output unit 15 is an interface for outputting data to the output device.
  • the output unit 15 converts the digital audio signal generated by the control unit 12 into an analog audio signal by D / A (Digital / Analog) conversion, and outputs the digital audio signal to the speaker.
  • the output unit 15 may output visual information such as an image or text generated by the control unit 12 to a display or the like provided in the vehicle VE.
  • the imaging unit 16 photographs the surroundings and the interior of the vehicle VE to generate an image.
  • the image pickup unit 16 is, for example, a camera.
  • the sensor unit 17 includes a GPS (Global Positioning System) sensor 171, a gyro sensor 172, a road surface detection sensor 173, a weather sensor 174, and a biological sensor 175. Each sensor generates data in a predetermined format based on the detected signal.
  • GPS Global Positioning System
  • the GPS sensor 171 receives radio waves including positioning data transmitted from the satellite and detects the current position of the vehicle VE.
  • the gyro sensor 172 detects the orientation and rotation of the vehicle VE.
  • the road surface detection sensor 173 detects a state such as unevenness of the road surface from the image of the road surface and the vibration of the vehicle VE.
  • the weather sensor 174 detects information on the weather such as humidity and temperature.
  • the biosensor 175 detects biometric information such as the occupant's heartbeat, pulse wave, respiration, body movement, and brain wave.
  • the biosensor 175 may be built in the seat of the vehicle VE, or may be a wearable device worn by the occupant.
  • the output unit 15 transmits the control signal from the control unit 12 to the drive system of the vehicle VE to realize automatic driving. Further, the control unit 12 can control the vehicle VE so as to travel according to the designated travel route. At least a destination is set for the traveling route.
  • the storage unit 13 stores the set travel route. The travel route may be manually input by the occupant, or may be automatically set by the vehicle control device 10 or the information processing device 20.
  • FIG. 3 is a block diagram showing a configuration example of the information processing device.
  • the information processing device 20 is, for example, a server. As shown in FIG. 3, the information processing device 20 includes a communication unit 21, a control unit 22, and a storage unit 23.
  • the communication unit 21 transmits and receives information to and from the information processing device 20 via the network NE under the control of the control unit 22.
  • the control unit 22 is realized by executing various programs stored in the storage unit 23 by a controller such as a CPU or MPU, and controls the operation of the entire information processing device 20.
  • the control unit 22 is not limited to the CPU and MPU, but may be realized by an integrated circuit such as an ASIC or FPGA.
  • the storage unit 23 stores various programs executed by the control unit 22, data necessary for executing processing by the control unit 22, and the like.
  • the control unit 22 includes an acquisition unit 221, an update unit 222, a posture detection unit 223, an operation determination unit 224, a route determination unit 225, a notification unit 226, and an agent control unit 227.
  • the acquisition unit 221 acquires information used in the processing of each unit of the control unit 22.
  • the acquisition unit 221 can acquire the data generated by the vehicle control device 10 via the communication unit 21.
  • the acquisition unit 221 acquires an image generated by the image pickup unit 16 of the vehicle control device 10.
  • the acquisition unit 221 can acquire the data generated by the sensor unit 17 of the vehicle control device 10.
  • the acquisition unit 221 can acquire road traffic information from an external server or the like via the communication unit 21.
  • Road traffic information such as traffic congestion information and traffic information acquired from the VICS (registered trademark, Vehicle Information Communication System) center.
  • the acquisition unit 221 acquires the current position detected by the GPS sensor 171 and the road traffic information of the destination of the set travel route.
  • the acquisition unit 221 acquires information on the travel route of the vehicle VE.
  • the vehicle VE is an example of a moving body.
  • the acquisition unit 221 acquires the traveling time until the vehicle arrives at the set destination.
  • the acquisition unit 221 acquires information on the type or shape of the traveling route until the arrival at the set destination.
  • the type of travel route includes whether or not it is an expressway.
  • the shape of the traveling route is represented by the degree of linearity. That is, the acquisition unit 221 acquires the degree of linearity of the shape of the traveling route.
  • the acquisition unit 221 can acquire information from the storage unit 23. For example, a series of operations determined by the operation determination unit 224, which will be described later, are stored in the storage unit 23. At this time, the acquisition unit 221 can acquire a series of operations determined by the operation determination unit 224 from the storage unit 23. That is, the acquisition unit 221 can acquire information on a series of operations performed by an occupant of the vehicle VE who is not driving.
  • whether or not the driver is driving may be determined not only by whether or not he / she is sitting in the driver's seat but also whether or not he / she is in automatic driving. For example, even if there is only one occupant and the vehicle is running, if the occupant is in automatic driving, it may be considered that the occupant is not driving. Further, in the present embodiment, the series of operations does not include operations related to driving such as steering wheel operation. Movements include those unrelated to driving, such as strength training.
  • the update unit 222 updates the data of each DB of the storage unit 23.
  • the data structure of each DB will be described later.
  • the posture detection unit 223 detects the posture of the occupant of the vehicle VE.
  • the posture of the occupant includes the posture taken by the occupant unconsciously.
  • the posture detection unit 223 detects the posture by skeleton detection.
  • the posture detection unit 223 detects the skeleton of the occupant of the vehicle VE included as a subject in the image acquired by the acquisition unit 221 by image recognition (image recognition using AI) using the learning model shown below. By doing so, the posture of the occupant is detected.
  • the learning model an image in which the position of the joint point of the person is labeled in advance with respect to the photographed image of the person is used as a teacher image, and the position of the joint point is machine-learned (for example, deep layer) based on the teacher image. It is a model obtained by learning (learning, etc.).
  • the operation determination unit 224 determines the recommended operation for the occupant of the vehicle VE who is not driving, according to the information acquired by the acquisition unit 221.
  • the motion determination unit 224 determines a series of motions in which predetermined motions are combined.
  • the operation determination unit 224 can determine the operation based on the transition of the traveling state of the vehicle VE.
  • the acquisition unit 221 acquires information on the transition of the traveling state of the vehicle VE until it arrives at the set destination. For example, the acquisition unit 221 acquires information from the sensor unit 17.
  • the acquisition unit 221 acquires from the sensor unit 17 the degree and frequency of acceleration / deceleration, the weather, the unevenness of the asphalt on the road surface, and the status of objects that move irregularly, such as surrounding pedestrians and manually driven automobiles. do. Further, the operation determination unit 224 estimates the transition of the traveling state based on the acquired information and determines a series of operations.
  • the operation determination unit 224 may make a comprehensive judgment from various acquired information, estimate whether the transition of the running state is deteriorated or improved, and determine a series of operations.
  • the deterioration is a mode of transition of the traveling state in which the stability of the posture of the occupant is lowered, and sudden acceleration / deceleration, sudden change of direction, shaking, vibration, slip, etc. are likely to occur.
  • the improvement is a mode of transition of the traveling state in which the stability of the posture of the occupant is improved, and sudden acceleration / deceleration, sudden change of direction, shaking, vibration, slip, etc. are less likely to occur.
  • the motion determination unit 224 determines the motion performed in the “sitting” posture in the case of deterioration, and determines the motion performed in the “standing” posture in the case of improvement.
  • Deterioration is thought to occur due to the high degree and frequency of acceleration and deceleration, the rainy weather, the large unevenness of the road surface, and the large number of pedestrians in the surrounding area.
  • improvement is a mode of transition of the running state so as to improve the stability of the posture of the occupant, that the degree and frequency of acceleration / deceleration are small, the weather is sunny or cloudy, and the road surface is uneven. It is thought to be caused by the small size and the small number of pedestrians around.
  • the route determination unit 225 determines the travel route of the vehicle VE according to the information acquired by the acquisition unit 221.
  • the notification unit 226 notifies the occupants of the vehicle VE of each information.
  • the notification unit 226 can notify information in the form of voice, image, text, or the like via the output unit 15 of the vehicle control device 10.
  • the notification unit 226 notifies the information regarding the operation determined by the operation determination unit 224.
  • the agent control unit 227 executes a program called an agent for exchanging information with the occupants.
  • the agent inputs and outputs information by having a pseudo conversation with the occupant.
  • the agent accepts voice or text input via the input unit 14.
  • the agent outputs voice or text via the output unit 15.
  • the storage unit 23 has an occupant DB 231 and a history DB 232 and an operation DB 233.
  • FIG. 4 is a diagram showing an example of the data structure of the occupant DB.
  • the occupant DB 231 stores the registered occupant information. As shown in FIG. 4, the occupant DB 231 stores the "occupant ID", "name”, “gender”, “age”, and "face image information”.
  • the "occupant ID” is an ID for identifying an occupant.
  • the "face image information” is a feature amount of the occupant's face image and the like, and is information used for recognizing the face image. For example, in the example of FIG. 4, it is shown that the name of the occupant whose occupant ID is "U001" is "Taro Yamada", the gender is "male”, and the age is "25".
  • FIG. 5 is a diagram showing an example of the data structure of the history DB.
  • the history DB 232 stores a history of a series of operations for each occupant.
  • a series of operations is called a menu.
  • the history DB 232 stores the “occupant ID”, the “date and time”, and the “menu”.
  • the occupant with the occupant ID "U001” carried out the menu "M001 ⁇ M002" at "2020/2/11 14:35”.
  • "M001" and "M002" are IDs for identifying individual operations included in the menu.
  • FIG. 6 is a diagram showing an example of the data structure of the operation DB.
  • the operation DB 233 stores information on each operation included in the menu.
  • the motion DB 233 stores the “motion ID”, the “name”, the “posture”, and the “part”.
  • the name of the operation whose operation ID is "M001” is "squat", which is performed in the "standing” posture, and is shown to be an operation related to "feet”.
  • the name of the operation whose operation ID is "M002” is "sit-up", which is performed in the "sitting" posture, and is shown to be an operation related to "belly”.
  • the information processing device 20 can determine the operation of notifying the occupant according to the shape of the traveling route.
  • the motion determination unit 224 corresponds to the motion performed in a standing state in the region where the linearity degree is equal to or higher than the predetermined value in the traveling route, and sits in the region where the linearity degree is not equal to or higher than the predetermined value.
  • the action is determined so that the action performed in the state corresponds to the action performed in the state.
  • FIG. 7 is a diagram showing an example of the shape of the route. As shown in FIG. 7, it is assumed that there are regions 311 and 312 having different road shape tendencies between the current location 31 (Start) and the destination 32 (Goal). Region 311 is composed of substantially straight lines. On the other hand, the region 312 is mostly composed of corners and curves. That is, it can be said that the region 312 has a larger degree of linearity than the region 311.
  • the information processing device 20 presents a menu that ensures the safety of the occupants and makes effective use of the travel time.
  • the operation “squat” is performed in the "standing” posture.
  • the movement “dumbbell” is performed in a “sitting” posture. Therefore, the operation determination unit 224 determines a menu for performing the operation "squat” while traveling in the area 311 and performing the operation "dumbbell” while traveling in the area 312. Then, the notification unit 226 notifies the occupant of the menu determined by the operation determination unit 224.
  • the operation determination unit 224 may determine the menu not only by the degree of linearity of the travel route but also by the type of the travel route. In this case, for example, if the traveling route is an expressway, there is little acceleration / deceleration or change of direction, so that the occupant can easily maintain a standing posture. Therefore, the motion determination unit 224 determines the motion to be performed in the "standing" posture if the traveling route is an expressway.
  • the operation determination unit 224 may determine the operation according to the change in the traveling condition until the vehicle arrives at the destination. For example, if it is expected that acceleration / deceleration will be repeated due to waiting for a traffic light or the like before arriving at the destination, it is difficult for the occupant to easily maintain a standing posture. Therefore, the motion determining unit 224 determines the motion performed in the “sitting” posture in the region where the frequency of acceleration / deceleration is expected to be a certain value or more.
  • the information processing device 20 may determine the traveling route according to the menu designated by the occupant.
  • the operation performed in the standing state corresponds to the region of the traveling route in which the degree of linearity is equal to or higher than a predetermined value
  • the operation performed in the sitting state is traveling.
  • the travel route is determined so as to correspond to the region of the route where the degree of linearity is not equal to or higher than a predetermined value.
  • the route determination unit 225 determines a travel route that travels in the region 311 for 5 minutes and travels in the region 312 for 10 minutes.
  • FIG. 8 is a diagram showing an example of a conversation between an agent and an occupant.
  • the agent 227a is an example of an agent executed by the agent control unit 227.
  • Agent 227a may be implemented by text or voice chat.
  • the agent 227a says, "You are a new person. Please tell me your name and the part you want to train.” Confirm that it is a new registration and acquire the occupant information. Then, the occupant inputs his / her own information to the agent 227a.
  • the update unit 222 stores the information acquired from the occupant via the agent 227a in the occupant DB 231.
  • FIG. 9 is a diagram showing an example of a conversation between an agent and an occupant.
  • the agent 227a suggests that the occupant has been registered as "Mr. Yamada, what do you do today?" And encourage the occupants to specify the menu.
  • the operation determination unit 224 determines the menu based on the travel route information.
  • FIG. 10 is a diagram showing an example of a conversation between an agent and an occupant.
  • the agent 227a notifies the occupant to change the menu because the vehicle speed changes.
  • the motion determination unit 224 determines the motion to be performed, for example, in the “sitting” posture.
  • FIG. 11 is a flowchart showing an example of the information processing method.
  • the process shown in FIG. 11 is an example of the process for confirming the registration of the occupant and for new registration, and is performed before the vehicle VE travels.
  • the acquisition unit 221 acquires and recognizes an image of the occupant's face (step S101). If the image of the occupant's face is already registered in the occupant DB 231 (step S102, Yes), the information processing apparatus 20 ends the process.
  • step S102 when the image of the occupant's face is not registered in the occupant DB 231 (step S102, No), the update unit 222 newly registers the occupant information acquired by the acquisition unit 221 in the occupant DB (step S103).
  • the acquisition unit 221 acquires the biometric information of the occupant (step S104). Then, the operation determination unit 224 determines the menu based on the acquired information (step S105). For example, the motion determination unit 224 determines a menu for first taking a break when the occupant's heart rate is equal to or higher than a predetermined value. In that case, the notification unit 226 utters, "Because the heart rate is rising, let's take a break for the first 5 minutes.” The update unit 222 saves the menu determined by the operation determination unit 224 in the history DB 232 (step S106).
  • FIG. 12 is a flowchart showing an example of an information processing method.
  • the process shown in FIG. 12 is an example of the process performed by the information processing device 20 when the occupant specifies the menu by himself / herself.
  • the acquisition unit 221 acquires the input information (step S201).
  • the entered information is information about the menu specified by the occupant.
  • the acquisition unit 221 acquires the occupant information from the occupant DB 231 (step S202). Further, the acquisition unit 221 acquires information from the sensor unit 17 (step S203). The operation determination unit 224 determines the menu based on the information acquired by the acquisition unit 221 (step S204). Then, the update unit 222 saves the menu determined by the operation determination unit 224 in the history DB 232 (step S205).
  • the route determination unit 225 determines the travel route based on the menu determined by the operation determination unit 224 (step S206).
  • the notification unit 226 notifies the menu determined by the operation determination unit 224 (step S207).
  • the operation determination unit 224 may simply pass the information regarding the specified menu to the update unit 222. Further, as shown in FIG. 8, it may be vaguely specified as "I want to train my legs". In that case, the motion determination unit 224 determines one of the motions whose portion is the "foot" in the motion DB 233, for example.
  • FIG. 13 is a flowchart showing an example of an information processing method.
  • the process shown in FIG. 13 is an example of the process performed by the information processing device 20 when the occupant does not specify the menu.
  • the acquisition unit 221 acquires the information of the route to the destination (step S301).
  • the operation determination unit 224 determines the menu based on the information acquired by the acquisition unit 221 (step S302).
  • the update unit 222 saves the menu determined by the operation determination unit 224 in the history DB 232 (step S303).
  • the notification unit 226 notifies the menu determined by the operation determination unit 224 (step S304).
  • the acquisition unit 221 acquires information regarding the travel route of the vehicle VE. Further, the operation determination unit 224 determines the recommended operation for the occupant of the vehicle VE and not in operation according to the information acquired by the acquisition unit 221. In addition, the notification unit 226 notifies the information regarding the operation determined by the operation determination unit 224. As a result, the occupant can determine the operation according to the traveling route without designating himself / herself, and can be notified of the operation suitable for the traveling route. As described above, according to the present embodiment, it is possible to propose efficient use of travel time.
  • the motion determination unit 224 determines a series of motions in which predetermined motions are combined. In this way, the condition of the traveling route changes with the passage of time during traveling. On the other hand, according to the present embodiment, it is possible to propose a combination of operations adapted to changes in the traveling route.
  • the acquisition unit 221 acquires the traveling time until it arrives at the set destination. Therefore, according to the present embodiment, it is possible to propose including the execution time of each operation.
  • the acquisition unit 221 acquires information on the type or shape of the travel route until it arrives at the set destination. It is considered that the suitable operation differs depending on the type and shape of the traveling route. On the other hand, according to the present embodiment, it is possible to propose including the execution time of each operation.
  • the acquisition unit 221 acquires the degree of linearity of the shape of the traveling route.
  • the posture that the occupant can take differs depending on the shape of the traveling route.
  • the motion determination unit 224 corresponds to the motion performed in a standing state in the region where the linearity degree is equal to or higher than the predetermined value in the traveling route, and sits in the region where the linearity degree is not equal to or higher than the predetermined value. Determine the action so that it corresponds to the action taken in. For example, on a road with many straight lines, the occupant can perform a standing motion. On the other hand, on a road with many curves, it is difficult for the occupant to perform a standing motion. On the other hand, according to the present embodiment, it is possible to propose the operation after ensuring the safety of the occupants.
  • the acquisition unit 221 acquires information on the transition of the traveling state of the vehicle VE until it arrives at the set destination.
  • the running state may change depending on the frequency of acceleration / deceleration, weather, road surface conditions, surrounding moving objects, and the like.
  • the acquisition unit 221 acquires information on a series of operations performed by an occupant of the vehicle VE who is not driving. Further, the route determination unit 225 determines the travel route of the vehicle VE according to the information acquired by the acquisition unit 221. As described above, according to the present embodiment, the moving body can be traveled on a route suitable for the movement desired by the occupant.
  • the operation performed in the standing state corresponds to the region of the traveling route in which the degree of linearity is equal to or higher than a predetermined value
  • the operation performed in the sitting state is the traveling route.
  • the traveling route is determined so as to correspond to the region where the degree of linearity is not equal to or higher than the predetermined value. As described above, according to the present embodiment, it is possible to determine a traveling route that matches the movement desired by the occupant and ensures the safety of the occupant.
  • the present invention is not limited to the embodiments described so far.
  • various actions can be considered in addition to those given as examples so far.
  • movements include not only exercises such as dancing and stretching, but also all physical movements such as eating and changing clothes.
  • the information processing device 20 stores in what posture the movements are performed and for what purpose, and combines the movements according to the traveling route. A series of operations, that is, a menu is determined.
  • the information processing device 20 can determine the action of wearing trousers on a straight road and the action of wearing a shirt on a road having many curves.
  • Information processing system 10 Vehicle control device 11, 21 Communication unit 12, 22 Control unit 13, 23 Storage unit 14 Input unit 15 Output unit 16 Imaging unit 17 Sensor unit 20 Information processing device 31 Current location 32 Destination 171 GPS sensor 172 Gyro sensor 173 Road surface detection sensor 174 Weather sensor 175 Biological sensor 221 Acquisition unit 222 Update unit 223 Attitude detection unit 224 Motion determination unit 225 Route determination unit 226 Notification unit 227 Agent control unit 227a Agent 231 Crew member DB 232 history DB 233 Operation DB 311, 312 Area VE Vehicle NE Network

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Abstract

Selon la présente invention, une unité d'acquisition (221) acquiert des informations relatives à un itinéraire de déplacement d'un véhicule (VE). Une unité de détermination de mouvement (224) détermine un mouvement à recommander à un occupant qui est un occupant du véhicule (VE) et qui n'est pas en train de le conduire en fonction des informations acquises par l'unité d'acquisition (221). Une unité de notification (226) émet une notification contenant les informations relatives au mouvement déterminé par l'unité de détermination de mouvement (224).
PCT/JP2021/001127 2020-03-27 2021-01-14 Dispositif de traitement d'information, procédé de traitement d'information, programme de traitement d'information et support de stockage WO2021192526A1 (fr)

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Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2016062414A (ja) * 2014-09-19 2016-04-25 クラリオン株式会社 車内監視装置及び車内監視システム
JP2018133032A (ja) * 2017-02-17 2018-08-23 オムロン株式会社 運転切替支援装置、及び運転切替支援方法
JP2018144544A (ja) * 2017-03-02 2018-09-20 株式会社デンソー 車両の走行制御システム
JP2018181120A (ja) * 2017-04-18 2018-11-15 株式会社デンソーテン 運転支援装置及び運転支援方法
JP2020003936A (ja) * 2018-06-26 2020-01-09 株式会社デンソー 車両制御方法、車両制御システム、及び車両制御装置
JP2020111194A (ja) * 2019-01-11 2020-07-27 トヨタ自動車株式会社 処理装置、処理方法およびプログラム

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2016062414A (ja) * 2014-09-19 2016-04-25 クラリオン株式会社 車内監視装置及び車内監視システム
JP2018133032A (ja) * 2017-02-17 2018-08-23 オムロン株式会社 運転切替支援装置、及び運転切替支援方法
JP2018144544A (ja) * 2017-03-02 2018-09-20 株式会社デンソー 車両の走行制御システム
JP2018181120A (ja) * 2017-04-18 2018-11-15 株式会社デンソーテン 運転支援装置及び運転支援方法
JP2020003936A (ja) * 2018-06-26 2020-01-09 株式会社デンソー 車両制御方法、車両制御システム、及び車両制御装置
JP2020111194A (ja) * 2019-01-11 2020-07-27 トヨタ自動車株式会社 処理装置、処理方法およびプログラム

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