Autonomous vehicles and information processing systems

Abstract

Since the driving assistance service requires a two-person system consisting of a substitute driver and a vehicle escort driver, the labor cost is high, and due to a shortage of drivers, the waiting time for users has been prolonged. Also, it is needed not only when drinking alcohol, but also in various situations such as sudden illness, bad weather, and driving anxiety due to old age. However, at present, sufficient service supply cannot be achieved. In regional cities, the shortage of public transportation drivers is also serious, and ensuring a means of transportation for the elderly has become a social issue. 【Solution】Equip the escort vehicle with an automatic driving function, and enable the tracking of the vehicle to be driven on behalf of others without a driver by the vehicle tracking device and the vehicle control device. As a result, the required personnel can be reduced by half, and the utilization of surplus vehicles is also possible. Also, equip the user's vehicle with a limited automatic driving function and permit automatic driving only under specific regions and conditions. Assist in safe return home when drinking alcohol or in poor physical condition, etc., by the travelable range setting device and the automatic driving control device. It is also applicable to joint use by the elderly.

Description

Technical Field

[0001] The present invention relates to an autonomous vehicle and an information processing system.

Background Art

[0002] Techniques for suitably matching users of a driving assistance service and drivers are disclosed (Patent Document 1). (Patent Document 1)

[0003] Techniques for enhancing the convenience of travel by vehicle for users who have difficulty driving themselves are disclosed (Patent Document 2). (Patent Document 2)

Prior Art Documents

Patent Documents

[0004]

Patent Document 1

Patent Document 2

Summary of the Invention

Problems to be Solved by the Invention

[0005] In recent years, although there have been various initiatives such as efforts to relax the constraints on human resources in driving assistance services and mobility support services, the above-described existing technologies have not led to solutions. Therefore, an object of the present invention is to provide a vehicle and a system that solve such problems.

Means for Solving the Problems

[0006] In order to solve the above problems, a first aspect of the present invention is to identify a vehicle to be driven on behalf of a person to be tracked in an accompanying vehicle in a driving assistance service or a mobility support service for the elderly. vehicle to be tracked, which is a vehicle to be driven on behalf of a person, in an accompanying vehicle in a driving assistance service or a mobility support service for the elderly. [[ID=X]] The system includes a vehicle identification device and a function to track the vehicle being driven by a designated driver when the driver is not present. The vehicle control system and mode switching that allows switching between driver-operated driving mode and unmanned tracking mode. The device provides a configuration that includes the operation of the escort vehicle in various service forms. This makes it possible to eliminate the need for manual steering.

[0007] A second aspect of the present invention relates to a vehicle configured to be capable of autonomous driving, and describes how to drive by autonomous driving. A drivable range setting device that sets the range in which driving is possible, and a device that stores the conditions under which autonomous driving is possible. A memory device and an automated driving control system that determines whether the current situation is suitable for automated driving. The present invention provides a configuration that includes a device for setting a destination for autonomous driving, and a destination setting device for setting a destination for autonomous driving. This configuration enables the realization of limited autonomous driving services tailored to the diverse circumstances of users. It becomes Noh.

[0008] Furthermore, the present invention integrates functions such as measuring tracking distance and calculating charges based on tracking distance. It is also possible to combine them. These functions are available on the vehicle's onboard equipment or via a network connection. This may be implemented on a server.

[0009] For other issues disclosed in this application and their solutions, please refer to the section on embodiments of the invention and the drawings. It will become clearer. [Effects of the Invention]

[0010] According to the present invention, driving of an escort vehicle in a designated driver service or elderly mobility support service. Because it eliminates the need for manual labor, the number of personnel required to provide the service can be halved. Lower service fees through reductions in labor costs, expansion of service area, and rapid response in emergencies. It becomes possible to respond quickly, etc. Also, since it was necessary to operate in pairs of two people conventionally, it becomes possible to effectively utilize the surplus vehicles caused by the shortage of drivers, and a significant reduction in the waiting time of users due to the improvement of service supply capacity is expected. Especially, even in situations where it was difficult to respond conventionally, such as when in poor health or in bad weather, stable service provision is expected. Moreover, due to the limited autonomous driving function, it becomes possible to return home or move safely in various situations, not only when drinking alcohol, but also when suddenly falling ill, in bad weather such as snowfall, or when there is driving anxiety due to old age. Furthermore, in the vehicle sharing model for the elderly, it functions as an alternative means of public transportation, contributes to securing means of transportation in local cities, and is expected to contribute to improving the quality of life of the elderly and promoting social participation. In addition, by implementing the present invention, it becomes possible to provide the same service as before with a proxy driver who is half the number of people in the conventional simple calculation. Therefore, it is possible to reduce the movement for the proxy driver to commute by private car or motorcycle, and reduce the fuel and electricity consumed. Also, in the vehicle sharing model for the elderly, it is expected to have the effect of alleviating the congestion in hospital and supermarket parking lots. Furthermore, by reducing the number of vehicles owned and driven by the elderly and reducing the fuel and electricity consumed, a decarbonization effect can also be expected. Also, by popularizing the vehicle sharing model, it is expected to contribute to reducing the number of vehicles owned in the entire region and reducing the environmental load associated with manufacturing and disposal.

Brief Explanation of Drawings

[0011]

[0012]

[0013] [Figure 1] ​​​​​​​​​​​​​​It is a diagram showing an overall configuration example of a proxy driving system according to a first embodiment of the present invention. [Figure 2] It is a diagram showing a configuration example of a limited autonomous vehicle according to a second embodiment of the present invention. [Figure 3] It is a diagram showing an overall configuration example of the information processing system of the present invention. [Figure 4] It is a diagram showing a hardware configuration example of the management server 32. [Figure 5] It is a diagram showing a software configuration example of the management server 32 in the first embodiment. [Figure 6] It is a diagram showing a software configuration example of the management server 32 in the second embodiment. [Figure 7] It is a diagram showing an example of a processing flow of a proxy driving service in the first embodiment. [Figure 8] It is a diagram showing an example of a processing flow of limited autonomous driving in the second embodiment.

Modes for Carrying Out the Invention

[0014] <Background of the Invention> Conventionally, for users who are unable to drive a vehicle or wish to refrain from driving due to drinking alcohol, poor physical condition, anxiety about driving skills, etc., a proxy driving service in which a driver with a Class 2 license drives the user's vehicle on behalf of the user has been used. This service is required not only when drinking alcohol, but also when returning home after driving oneself to a medical institution due to sudden illness, when driving is difficult due to bad weather, when there is driving anxiety due to old age, etc., in various situations. In a general proxy driving service, at least two personnel, namely a proxy driver who drives the user's vehicle and a driver of an escort vehicle who picks up and drops off and tracks the proxy driver, are required. [[ID=�9]]

[0015] In recent years, the shortage of public transportation drivers has become serious, especially in local cities, and the transportation of the elderly has become Securing means of transportation has become a social issue. In this situation, the number of vehicles owned by the elderly is increasing. It will be shared by several elderly people, and driven by someone with a Class 2 driver's license, for daily errands such as shopping and going to the hospital. New service models to support mobility are also being considered. However, such services Even in this case, a two-person system is required, consisting of a substitute driver and a driver for the escort vehicle, so the personnel costs are This is creating an obstacle that is hindering the widespread adoption of the service.

[0016] On the other hand, advancements in autonomous driving technology have made it technically possible to automatically control vehicles under specific conditions. This is becoming the case. However, special services such as designated driver services and mobility assistance services for the elderly are becoming more common. Methods for effectively utilizing autonomous driving technology in specific applications to enhance service sustainability. This had not been sufficiently considered until now.

[0017] The background of the invention described above illustrates some of the specific problems that the present invention aims to solve. The problems that this invention aims to solve are not limited to these.

[0018] <Summary of the Invention> This invention utilizes autonomous driving technology to provide driver assistance services and mobility support services. This will reduce human resource costs and enable responses to a variety of challenging driving situations. In essence, this is a technology that eliminates the need for a driver through "automation of escort vehicles (first embodiment)." And, "Limited Automated Driving (Second Embodiment)" which permits automated driving only under specific conditions. It consists of three aspects. These technologies may be implemented individually or in combination. It may be applied.

[0019] <Basic methodology> In the first embodiment of the present invention, in a designated driver service, the designated driver provides services to the user ( When driving a vehicle (a vehicle eligible for designated driver service), the accompanying vehicle will automatically provide a designated driver service while unmanned. Track the target vehicle. The tracking target vehicle identification device identifies the vehicle to be driven by a designated driver, and then controls the vehicle. The device performs automatic tracking. During this process, the escort vehicle will, if necessary, use a mode switching device. It can switch between human-operated mode and unmanned tracking mode. This configuration eliminates the need for two people to operate the system. This makes it possible to reduce the number of key personnel to just one.

[0020] In the second embodiment of the present invention, some of the functions necessary for the first embodiment are adapted, By adding certain additional features, the user's vehicle itself will be given a limited autonomous driving capability. The driving range setting device allows for autonomous driving only in specific areas or on roads permitted by local governments, for example. This enables the automatic driving control system to operate automatically only under specific circumstances such as drinking alcohol, feeling unwell, or bad weather. Permission to drive will be granted. This will allow for driving under limited conditions, even before fully autonomous driving is implemented in society. You can benefit from autonomous driving. However, from the perspective of designated driver services, traditionally What was originally a "service to dispatch designated drivers" has been changed to "a service that adds limited autonomous driving capabilities." By shifting to a "service" model, the number of personnel required, which was previously two, was reduced to zero, and the traditional substitute operation This will make it possible to provide services similar to those offered by Ten.

[0021] Both embodiments can also be applied to mobility support services for the elderly. For example, if the elderly own... When a vehicle is shared by multiple elderly people, a designated driver will operate it, and the vehicle will be equipped with an automated driving system. By having vehicles track the vehicles, an efficient patrol service can be provided. Furthermore, this service is limited to vehicles driven by elderly people. By incorporating a constant autonomous driving function, it supports safe travel even in situations where the driver feels uneasy. It is possible.

[0022] <Definition of Terms> The main terms used in this invention are defined below.

[0023] In this specification, "○○ device" refers to all means for realizing the said function, and electronic Means (processor, circuit, software, application, server, cloud service) (S, etc.), mechanical means (switches, dials, levers, slide rules, etc.), visual means (display boards, Printed materials, price lists, signs, etc.), human means (manual operation by operators, data entry, etc.), This includes combinations of those.

[0024] "Driving by designated driver" refers to a situation where someone other than the vehicle owner or regular user drives the vehicle. This refers to all services that transport people to their destination. This includes not only designated drivers when drinking, but also services related to health. This includes designated driver services for any reason, such as when the vehicle is unusable, when there is bad weather, or when the driver is unsure of their driving skills. This also includes a mobile service that picks up and drops off users in sequence.

[0025] An "escort vehicle" refers to a vehicle that accompanies the vehicle being driven by the designated driver, and is responsible for transporting the designated driver and other related tasks. This refers to a vehicle that is responsible for tracking vehicles being used for substitute driver services and retrieving substitute drivers after the service is completed. The escort vehicle may be a dedicated vehicle, or it may be a regular passenger car, light vehicle, three-wheeled vehicle, or two-wheeled vehicle. This may also include using light vehicles such as bicycles for accompanying purposes. This also includes a configuration in which escort vehicles work together to track a single vehicle being driven by a designated driver. Vehicles include not only vehicles that run on fossil fuels such as gasoline, but also electric vehicles and hydrogen vehicles. Motor vehicles, electric bicycles, etc. are also acceptable.

[0026] "Vehicles eligible for designated driver service" refers to vehicles that are eligible for the designated driver service and are not owned by the user. Or any passenger car, light vehicle, cargo vehicle, special vehicle, three-wheeled vehicle, two-wheeled vehicle, etc. used This includes all types of automobiles, as well as rental cars, car-sharing vehicles, and corporate-owned vehicles. Vehicle types include not only vehicles that run on fossil fuels such as gasoline, but also electric vehicles. This may include electric vehicles, hydrogen cars, electric bicycles, etc. Furthermore, in this specification, "driving assistance" refers to... The term "elephant vehicle" is essentially synonymous with "vehicle being tracked," as it refers to the vehicle being pursued by an escort vehicle. That is the case.

[0027] The term "sensor" refers to any device that detects conditions inside and outside a vehicle and outputs them as electrical signals. This includes cameras (visible light cameras, infrared cameras, stereo cameras, etc.) and LiDAR. Millimeter-wave radar, ultrasonic sensors, GPS receiver, inertial measurement unit (IMU), wheel speed sensor Sensors, alcohol detection sensors, biosensors (heart rate sensors, blood pressure sensors, body temperature sensors) This includes sensors such as ambient sensors (temperature sensors, humidity sensors, illuminance sensors, etc.), environmental sensors (temperature sensors, humidity sensors, illuminance sensors, etc.). These sensors may be used individually or in combination with other sensors. It may also be used as an insulator fusion system.

[0028] A "tracking target vehicle identification device" is a device that identifies and identifies the vehicle being tracked by the accompanying vehicle. This refers to a device or means for achieving this. This includes vehicle license plate recognition. Identification device, device for receiving signals from transmitters mounted on the vehicle, recognition of the vehicle's external characteristics Image recognition devices that recognize objects, identification devices that use location information such as GPS, and identification devices that use vehicle-to-vehicle communication. This includes other devices, etc. It also includes devices that combine multiple identification means.

[0029] "Vehicle control device" refers to a device that controls the movement of a vehicle, or the means of achieving this in general. In the first embodiment, automatic tracking control of the escort vehicle is performed, and in the second embodiment, limited Performs automated driving control under constant conditions. Steering control, accelerator control, braking control In addition to basic vehicle control functions such as transmission control, it also features environmental recognition based on information from sensors. This includes functions such as route planning and obstacle avoidance. It can also be retrofitted to existing vehicles. This also includes the control system.

[0030] A "mode switching device" is a device that switches the driving mode of a vehicle, or a device that implements this. This refers to a stage, and in the first embodiment, the driver switches between manual driving mode and unmanned tracking mode. In the second embodiment, the switching is performed between the normal manual driving mode and the limited automatic driving mode. Replace the physical switches, touch panel interfaces, and voice recognition. A switching device, a remotely operated switching device, and a device that automatically switches modes when predetermined conditions are met. This includes programs for switching modes, etc. Also includes devices that switch modes in stages, and multiple automatic This also includes devices and functions that allow switching between different levels of chemical activation.

[0031] A "tracking distance measuring device" is a device that measures the distance over which an escort vehicle tracks a vehicle being driven by a designated driver. This refers to the placement or means of achieving it, including measuring devices that utilize satellite positioning systems such as GPS, and Methods, measurement devices and methods using the vehicle's odometer, and route distance in combination with map data. This includes devices and methods for calculating [specific values], and devices and methods for estimating travel distance using image recognition. The degree and measurement interval may be set as appropriate depending on the application. Also, traffic congestion, road construction, and weather conditions may be considered. If the actual driving route differs from the optimal route due to factors such as weather conditions, the distance of the optimal route on the map will be used. It is permissible to do so. Furthermore, if the escort vehicle temporarily loses sight of the vehicle being pursued, the escort vehicle The fare is calculated using the distance of either the estimated route or the standard route to the pre-set destination. It also includes a function to perform the following. These functions enable accurate price calculations in various situations. Yes. In any case, the tracking distance measuring device is charged by the user to the fee calculation device. The device or method provides means for outputting information such as distance, which forms the basis for calculating the amount to be calculated. Just be there.

[0032] A "fare calculation device" is a device that collects distance information, time information, and other data from a tracking distance measuring device. A device or implementer that calculates the fees a user should pay based on service usage information. This refers to the means of doing so. In the first embodiment (autonomous driving of the escort vehicle), the tracking distance is the primary means of tracking. A calculator for designated driver service fees based on distance, service hours, time of day (late night / early morning, etc.), regional characteristics, etc. It is equipped with the ability to calculate fares based on actual distance traveled, as well as by local government and service area. The area is divided into multiple areas (for example, Area A, Area B, Area C, etc.), and movement between areas is restricted. This also includes area-based pricing systems that apply pre-set fixed rates. Therefore, the fare is determined by the combination of the departure area and the destination area, This allows us to provide a stable toll system that is not affected by fluctuations in actual travel distance due to detours, etc. Even if it includes functions such as calculating fares by section when circulating to a destination, and calculating waiting time charges, Good. In the second embodiment (limited autonomous driving), the calculation of the usage fee for the autonomous driving function is further... This may include a pay-per-use fee based on the time and distance of autonomous driving, and a monthly / annual fee. The subscription fee includes a fixed amount, pricing based on the driving range and available time slots, etc. Furthermore, the means for calculating the fees in the first and second embodiments are based on the balance of supply and demand. Dynamic pricing function, fee distribution function among multiple users, monthly This includes a function for calculating a combination of fixed-rate and usage-based pricing. It also ensures transparency in pricing calculations. Therefore, features such as recording and displaying the basis for calculations, and providing users with detailed billing statements, have been implemented. It is desirable that this be done. Furthermore, the fare calculation device can be installed in the vehicle, or it can be connected to a communication network. Methods for performing calculations on the server side via the workpiece and sending the results to the vehicle, or pre-printed information This also includes providing a fare list in the vehicle.

[0033] A "driving range setting device" is a device that sets the geographical area in which autonomous driving is permitted. This refers to a device for storing and determining information, or the means to achieve this. The scope of this setting is limited to specific local governments. Within the boundaries, specific road sections, areas designated by geographic coordinates, geofencing techniques It may be defined in various forms, such as within a set virtual boundary. Also, depending on the time of day or day of the week This also includes dynamic settings that change the drivable range.

[0034] "Situations under which autonomous driving is possible" refers to the conditions under which the use of the vehicle's autonomous driving function is permitted. Furthermore, the driver's physical and mental condition (alcohol consumption, fatigue, illness, injury, mental instability, etc.), and environmental conditions. This includes factors such as weather, road conditions, traffic conditions, time of day, legal regulations, and the technical conditions of the vehicle. These conditions may be set individually or in combination.

[0035] An "automatic driving control system" determines whether the current situation is suitable for automatic driving. This refers to a device or means that controls the start, continuation, and termination of autonomous driving. This includes information from various sensors (alcohol detectors, biosensors, weather sensors, etc.), Information from external systems, user reports, etc., may be used.

[0036] A "destination setting device" is a device that sets the destination to which a vehicle should go, or a device that implements this. This refers to a means of communication, which involves interaction with external devices such as touch panels, voice input devices, and smartphones. This includes input devices, etc. Setting methods include entering the destination after getting into the vehicle, as well as smart This also includes a method of setting the departure point and destination in advance via a smartphone app, etc. If this formula is adopted, the user will specify their current location or designated departure date when booking the designated driver service. Enter your location (restaurant, home, workplace, etc.) and destination (home, restaurant, supermarket, hospital, etc.). This information is automatically transmitted to the vehicle's destination setting device. This allows the designated driver to determine the destination when boarding the vehicle. The destination can be identified at a single point, leading to increased service efficiency and improved user convenience. In this embodiment, the escort vehicle also shares destination information of the vehicle being driven by a driver, and the tracking control is precise. It will be used to improve accuracy. Even if the tracked vehicle is lost, it will rejoin based on destination information. It is possible to predict the location, etc. In the second embodiment, the set destination is The system automatically determines if the destination is within the possible range, and if it is outside the range, it suggests an alternative destination, or if it is within the possible range. This machine performs autonomous driving to the nearest point and then coordinates the handover to a designated driver service. It includes the ability to set multiple destinations and automatically generate the optimal route. Noh theater is also included.

[0037] "Information processing system" refers to a computer system that realizes the various functions of the present invention. Embedded systems mounted in vehicles, edge computing devices, cloud services This includes bars, combinations thereof, etc. Some or all of the processing is performed on a server outside the vehicle. This also includes forms in which this occurs.

[0038] A "vehicle sharing management system" is a reservation management system for when multiple users share a single vehicle. This refers to a device or means that performs usage adjustments, usage record keeping, etc., and user authentication. Features, usage schedule management function, usage history recording function, and collection of basic data for fee allocation. Includes functions, etc. Implemented as a cloud-based system, via smartphone apps, etc. It may also be configured to allow users to access it.

[0039] A "fare distribution calculation device" is a device used in vehicle sharing services to ensure fair pricing among multiple users. This refers to a device or means that performs calculations for allocating costs to a vehicle (insurance). Fees, taxes, inspection fees, etc., fuel costs or electricity charges, and fees for using the autonomous driving function will be charged to each user. The fee will be calculated proportionally based on usage time, distance, frequency of use, etc. Additionally, a basic fee will be charged to the vehicle owner. This also includes features such as setting the currency level and integrating with payment processing services.

[0040] <Details of vehicle implementation> Next, we will describe in detail how the first embodiment of the present invention can be implemented as a vehicle. As shown in 1, the substitute driver control device is mounted on the escort vehicle, and each component operates in coordination. This enables unmanned tracking and driving.

[0041] The sensor is an input device for detecting the surrounding environment of the escort vehicle and the vehicle being driven by a substitute driver. It functions as follows: The sensors consist of multiple cameras positioned in front, on the sides, and behind the vehicle, and the vehicle's roof LiDAR installed on the front, millimeter-wave radar and ultrasonic sensors embedded in the bumper These may consist of the following: — and the following. These sensors are used for tracking vehicle identification devices and vehicle control Provides real-time environmental information to the device.

[0042] The tracking vehicle identification device processes information acquired from sensors to identify the vehicle being driven by a designated driver. Separate tracking. In particular, deep learning-based object recognition of image data acquired from cameras. The system applies a recognition algorithm to identify the vehicle's license plate, make, color, and external features. Furthermore, by receiving signals from transmitters and V2V communication devices installed in the vehicles being driven, It would be good to achieve more reliable vehicle identification.

[0043] The mode switching device is bidirectionally connected to the vehicle control device and controls the switching of the driving mode. When switching from manned operation to unmanned tracking, the operation of the sensors and the identification of the target to be tracked are confirmed. Automatically executes a safety check sequence, including recognition and communication system connection verification. Switching operation This can be done via the in-vehicle touch panel, physical switches, or remote control.

[0044] The vehicle control device continuously receives location information of the tracked vehicle from the tracked vehicle identification device, and It performs precise tracking control. The control algorithm is based on predictive control, adaptive control, and machine learning. The control system may be implemented in combination with other control systems. The vehicle control system receives the calculated control commands from the vehicle. It transmits signals to the actuator system to enable steering, acceleration, and braking. .

[0045] The tracking distance measuring device obtains information from GPS sensors, inertial measuring devices, wheel speed sensors, etc. This enables highly accurate distance measurement. In particular, in environments where GPS signals are unstable, inertial navigation and By using map matching technology, continuous distance measurement is ensured. The measurement data is time The stamp is recorded along with the transaction and serves as the basis for calculating the fare.

[0046] The fare calculation device uses distance data from the tracking distance measuring device, time data from the clock function, and land The system calculates the fee by integrating regional information from the map database. The fee structure is customizable. It supports combinations of base charges, distance charges, time-of-day charges, and area charges. In the case of bis, individual charges are calculated for multiple users, and a combination of monthly fixed charges and usage-based charges is calculated. It needs to be configured to handle fee structures such as calculating the amount payable to the vehicle owner. The calculation results are communicated to relevant parties via in-vehicle displays and communication devices.

[0047] The destination setting device uses multiple input methods, including a touch panel, voice recognition, and smartphone connectivity. It provides the following: The set destination is sent to the route planning function and the optimal route is calculated. The elderly mobility support service also includes a function to automatically generate efficient routes to multiple destinations. It will be implemented.

[0048] The communication device communicates with the designated driver's terminal, the management center, and the user's smartphone, etc. I will be in charge of this. The communication content will include vehicle location information, service status, emergency contact information, and charge information. To ensure the reliability of communications, multiple communication methods such as mobile phone networks, Wi-Fi, and dedicated wireless networks are used. They can be used together.

[0049] Further details of the tracking function for the escort vehicle in the first embodiment will be described. In actual road conditions, situations can occur where the escort vehicle temporarily loses sight of the vehicle being driven by a designated driver. This can happen. For example, if only the accompanying vehicle gets caught in a red light while waiting at a traffic light, the other accompanying vehicles When cutting in between a vehicle and a vehicle being driven by a designated driver, the vehicle being driven by a designated driver must turn right or left first at the intersection. This includes cases where it disappears from sight, etc.

[0050] To address this situation, the tracking vehicle identification device uses simple visual recognition (for example) This includes not only vehicle license plate recognition and recognition of vehicle external features, but also the target of the designated driver service. Methods for receiving signals from transmitters attached to a vehicle (the vehicle being tracked), such as GPS. Identification methods using location information, methods using vehicle-to-vehicle communication, and composite methods combining these. The vehicle control device continuously identifies vehicles subject to driver assistance using a specific method. Based on the identification of vehicles to be operated by substitute drivers using a designated device, tracking control is performed.

[0051] In addition, based on the identification of vehicles subject to driver assistance (vehicles being tracked) using a tracking vehicle identification device As an alternative to tracking, the destination information pre-set in the destination setting device and the tracking start Based on the driving route history, the vehicle control system estimates the expected route of the vehicle to be driven by a designated driver, and the vehicle control system The vehicle may autonomously travel along this predicted path and attempt to rejoin the vehicle being driven by a substitute driver.

[0052] Furthermore, the communication device maintains a constant (or intermittent) connection with the communication device carried by the designated driver. Furthermore, a method may be adopted to receive real-time location information of the vehicle being driven by a designated driver. Even if the designated driver's communication device is a GPS-enabled smartphone or a dedicated terminal... Good. Even if the escort vehicle loses visual tracking, it can use location information obtained via communication devices. This allows tracking to continue by selecting the appropriate route.

[0053] Furthermore, the vehicle control system implements a probabilistic estimation algorithm that integrates multiple information sources. This is also good. For example, the last confirmed location, speed, and direction of travel of the vehicle being driven by the designated driver service, and road network. By comprehensively analyzing twerk information, traffic flow patterns, signal cycle information, etc., the most likely outcome is determined. First, estimate your current location. Then, move towards this estimated location using an efficient path, which will increase your chances of success. You can rejoin the designated driver vehicle at a certain rate.

[0054] These features ensure that even if the escort vehicle temporarily loses sight of the vehicle being driven, it will still be able to find the final destination. It becomes possible to meet up at the destination. Also, even if "tracking" becomes completely impossible. The vehicle autonomously reaches a pre-set destination and there it merges with the vehicle to be driven, or drives You can wait for the arrival of the vehicle to be substituted. This redundant tracking system allows you to do so. This enables the provision of stable service even under various road conditions.

[0055] Next, we will describe in detail how the second embodiment of the present invention can be implemented as a vehicle. As shown in Figure 2, the substitute driver control device is installed or retrofitted to the user's vehicle, and is limited in scope. To enable autonomous driving under specific conditions.

[0056] The sensor plays a role in environmental recognition, similar to the first embodiment, but also in detecting the driver's condition. An important function of intelligence is added. An alcohol detection sensor installed inside the car is located in the driver's seat. It measures the breath alcohol concentration in the vicinity. The biosensor is located on the steering wheel and seat. It is integrated into the vehicle and continuously monitors the driver's heart rate, body temperature, etc. The in-car camera is used to monitor the driver The driver's facial expressions and posture are used to estimate their level of consciousness and physical condition. Additionally, weather sensors are installed outside the vehicle. —also plays an important role. For example, a rain sensor can be installed near the wiper to detect raindrops. Alternatively, a snow sensor can be installed on the front of the vehicle to detect snow accumulation and buildup. Furthermore, fog detection sensors that use optical sensors and millimeter-wave radar to determine poor visibility are also used. It would be a good idea to take precautions. You could install a temperature sensor to detect temperatures below freezing (potential for road freezing). The information from these weather sensors is transmitted to the automatic driving control system, and in the event of bad weather... It will be used to determine whether to permit limited autonomous driving. For example, when visibility is extremely poor due to dense fog or heavy snow. In such cases, it will serve as a basis for deciding whether to enable the use of autonomous driving functions.

[0057] The driving range setting device manages permission information provided by local governments and road administrators. The usable area is defined in the form of geographical coordinates, road section ID, administrative area, etc., and is related to digital maps. It is desirable that the data be stored in sequence. The device uses the current location obtained from GPS or GNSS and The system checks the permitted area and determines the geographical feasibility of autonomous driving.

[0058] The memory device holds the definition of the conditions under which autonomous driving is possible, as set by the national government, local authorities, etc. If so, the drinking status (blood alcohol concentration threshold), poor physical condition (abnormal values ​​of biological information), weather conditions ( Conditions such as visibility, road surface conditions, time of day, and traffic conditions are stored in a logically combinable format. The conditions can be updated remotely by the administrator.

[0059] The automated driving control system receives driver status information from sensors, weather conditions, and settings for the drivable range. It integrates geographical permission information from the location and condition definition information from the storage device to determine whether autonomous driving is possible. The system makes a determination. If the determination is positive, it instructs the vehicle control system to switch to automatic driving mode. It has a function to give instructions.

[0060] The mode switching device safely switches between manual and automatic operation. The system is configured to perform actions such as notifying the driver, conducting system checks, and transferring control authority in stages. It is also permissible to do so when the vehicle is stopped or traveling at a certain speed or below, for safe switching. It is desirable to have a mechanism that allows switching to be performed only when necessary.

[0061] The vehicle control device, similar to the first embodiment, in the automatic driving mode, uses sensor information to... It performs control such as environmental recognition, path following, and obstacle avoidance based on the environment. The control is performed within the drivable range. The system is limited, and a warning is issued in advance when approaching an area outside the designated range, and the vehicle will stop safely if necessary. Furthermore, it is desirable that the vehicle also be equipped with an automatic stopping function to a safe location in case of an emergency.

[0062] The destination setting device allows users to set any destination, but it must be compatible with the drivable range. It has a gender check function. If a destination outside the range is set, the nearest point within the range will be used as an alternative. This is presented as a proposal. Additionally, a function to pre-register frequently used destinations such as home and medical facilities will be provided.

[0063] <System Implementation Details> Next, we will describe in detail how to implement the present invention as an information processing system. Figure 3 shows As shown, the information processing system consists of a vehicle 31 and a management server 32, and these communicate It is connected via a network. However, the present invention is not limited to this configuration. , a configuration in which all functions are installed on the vehicle 31, or a configuration in which multiple servers perform distributed processing. These can also be implemented.

[0064] The management server 32 is a general-purpose computer such as a workstation or personal computer. It could be a computer, or logically through cloud computing. It may be implemented.

[0065] <Management Server> Figure 4 shows an example of the hardware configuration of the management server 32. This is just one example, and other configurations are also possible. Hardware configuration of the management server 32 As shown in Figure 4, the system consists of a CPU 401, memory 402, storage device 403, and communication interface. It consists of a 404, an input device 405, and an output device 406. The CPU 401 is a various type It executes the program and controls the entire system. Memory 402 is used when the program is executed. It temporarily holds the necessary data. The storage device 403 stores programs, map data, and driving data. It permanently stores range data, service history, etc. The communication interface 404 is connected to the vehicle It is responsible for communication with 31, coordination with external systems, and connection with user terminals. The communication method is: Supports multiple communication methods including cellular networks (4G / 5G), Wi-Fi, dedicated wireless, and satellite communication. The input device 405 accepts system settings, condition updates, monitoring operations, etc. from the administrator. Examples include keyboards, mice, touch panels, buttons, and microphones. The output device 406 displays system status, service status, error notifications, etc. For example, These include players, printers, and speakers. Note that the various functional units of the management server 32, described later, are C PU401 reads the program stored in memory device 403 into memory 402 and executes it. This is achieved by performing the following actions, and each storage unit of the management server 32 is memory 402 and storage device 40 This is implemented as part of the memory area provided by 3.

[0066] Figure 5 shows an example of the software configuration of the management server 32. In the first embodiment, The software configuration of the management server 32 is as shown in Figure 5, including a mode switching unit 411 and a tracking unit. Target vehicle identification unit 412, destination setting unit 413, vehicle control unit 414, tracking distance measurement unit 415 It consists of the following functional units: a billing unit 416 and a communication unit 417. It also includes a storage unit 431 and It includes a user database 432.

[0067] The mode switching unit 411 is a core functional unit that manages the driving mode of the escort vehicle. The switching unit 411 receives environmental information transmitted from the vehicle 31, driver operation input, and remote operation Based on instructions from the controller, the appropriate operating mode is determined. When switching modes, each function A mode change notification is sent to the unit, instructing it to change the operating parameters.

[0068] The tracking target vehicle identification unit 412 uses image data and signal data acquired from the vehicle 31's sensors. The system analyzes data such as the vehicle type to identify vehicles eligible for driver assistance. The identification process utilizes a deep learning model. Techniques such as image recognition, pattern matching, and signal analysis are used.

[0069] The destination setting unit 413 processes destination input from the user. The input method is via an in-vehicle terminal. Supports a variety of methods, including smartphone apps, voice input, and pre-registration. Elderly mobility support. In terms of service usage patterns, multiple users each have multiple desired destinations. It also provides a function (means) to optimize the traversal order, automatically generating an efficient route.

[0070] The vehicle control unit 414 receives location information from the vehicle identification unit 412 and destination setting unit 413. Based on route information and other data, control commands for vehicle 31 are generated. The control algorithm is: One configuration involves the driver performing the calculations and sending the results to the vehicle, while the other involves the vehicle performing the basic control. The server can support both monitoring-only and other configurations.

[0071] The tracking distance measurement unit 415 integrates the location information, speed information, etc. transmitted from the vehicle 31, The system calculates the exact distance traveled. The measurement data is stored in the storage unit 431 along with a timestamp. It is also used for verification after the service is completed. Correction processing is also performed when the GPS signal is unstable. This can be executed on the server side.

[0072] The fare calculation unit 416 receives distance data from the tracking distance measurement unit 415, service time, and regional information. The fee is calculated based on the information provided. The fee structure is pre-defined as a fee table or calculation formula. In vehicle sharing services, features such as fee distribution among multiple users and subscription fees are available. It can also implement functions such as money management and payment processing. The calculation results are available via the communication unit 417. The message is sent to the user's terminal and the designated driver's terminal.

[0073] The communications unit 417 communicates with the vehicle 31, user terminals, substitute driver terminals, external systems, etc. To oversee. Communication protocols include those for control signals requiring real-time performance and those for large-capacity data. It will be possible to use different methods for forwarding data. Furthermore, encryption and authentication features for communication will also be implemented.

[0074] The memory unit 431 is a central data storage that is used in common in both configurations. The database 432 stores service history, user information, vehicle information, etc. These data are appropriately encrypted from a personal information protection standpoint, and access rights management is also implemented. Furthermore, it is desirable that data persistence be guaranteed through regular backup functions. stomach.

[0075] The software configuration of the management server 32 in the second embodiment is as shown in Figure 6. In addition to the same basic configuration as in Embodiment 1, a drivable range setting unit 418 and an automatic driving control unit 4 19 will be added. These functional parts will play a core role in realizing limited autonomous driving. It is responsible for this. In addition, the memory unit 431 contains a database 433 of the drivable range and the status of automatic driving. Database 434 will be added.

[0076] The drivable range setting unit 418 receives permission from the local government system or road management system. The information is received and stored in the drivable range database 433. The permitted range is determined by the polygon data It can be managed in various formats, such as road link ID and administrative area code. It also supports dynamic range changes based on the day of the week. This data is acquired not only through communication, but also Manual input and correction are also possible.

[0077] The automatic driving control unit 419 receives various information transmitted from the vehicle 31 (current position, driver status, The feasibility of autonomous driving will be determined by comprehensively considering environmental conditions, etc. This includes position verification to the fixed unit 418 and condition verification to the automated driving feasibility database 434. The decision result is transmitted to the vehicle control unit 414 and reflected in the actual vehicle control.

[0078] The drivable range database 433 works in conjunction with a Geographic Information System (GIS) to analyze complex terrain. Efficiently manage rational boundaries. Speed ​​up location matching by using spatial indexes. This will be achieved. Furthermore, the version control function allows tracking of changes to the permitted scope.

[0079] The Automated Driving Feasibility Database 434 is a structured database of conditions under which automated driving is permitted. It is stored as a data point. The conditions are expressed as logical formulas, and complex combinations of conditions can be handled. For example, "(Alcohol concentration > threshold OR poor health flag = true) AND current Conditions such as "Time in the area ∈ late-night hours AND current location ∈ permitted range" can be set. Furthermore, vehicle sharing agreement information, user group information, and fee distribution rules are also managed in conjunction with each other. This is possible.

[0080] Furthermore, both the first and second embodiments support vehicle sharing services. If so, a vehicle sharing management unit and a fare distribution calculation unit will be added. These functional units are multi-purpose. To enable efficient vehicle use and fair cost sharing by users.

[0081] The Vehicle Sharing Management Department manages information on multiple users, usage schedules, usage records, etc. It provides functions such as user authentication, reservation management, and access control, and is available via smartphone app and web application. Users can access it through the interface. Also, priority is given in case of usage conflicts. A position determination function can also be implemented.

[0082] The fee distribution calculation unit works in conjunction with the fee calculation unit 416 to ensure fair fee distribution among multiple users. To represent: monthly or weekly settlement processing, payment of basic charges to vehicle owners, and apportionment of usage charges. Calculations are performed automatically based on pre-set calculation methods. Also, payment service business. Through API integration with the company, payments can be made by credit card, electronic money, or cryptocurrency. It is desirable to enable payment in cash, automatic withdrawals from bank accounts, and bank transfers. .

[0083] These system components do not necessarily need to be located on the server side, but on the vehicle 31. It can also be installed in various configurations. For example, in areas with unstable communication environments, the main functions can be carried out within the vehicle. It is also possible to adopt a configuration where the server is placed on the side and plays only a supporting role. Applying the concept of routing, processing that requires real-time performance is handled on the vehicle side, and large-scale planning is performed. A distributed processing configuration can also be implemented, where calculations and data management are performed on the server side.

[0084] To ensure system scalability, the management server 32 is designed for horizontal scaling. It is desirable to design accordingly. As the number of service users increases, the server instance By adding this, the overall processing power of the system can be improved. Also, by region It is also possible to deploy servers to reduce response times.

[0085] <Processing Flow>

[0086] Figures 7 and 8 illustrate the processing flow in an information processing system. Automatic driving control of escort vehicles in a driving service (first embodiment, Figure 7), and limited An example of a processing flow related to the control of the autonomous driving function (second embodiment, Figure 8) will be explained. These are just examples of embodiments of the present invention, and the order, content, and combination of processes may vary depending on the application and implementation. It can be changed as appropriate depending on the situation.

[0087] First, the processing flow of the first embodiment will be described. The mode switching unit 411 is in automatic operation mode. The mode is set (S701). This setting can be operated by the driver or designated driver, or remotely. This may be performed by operator instructions or by automatic settings when certain conditions are met. .

[0088] Next, the vehicle identification unit 412 identifies the vehicle to be tracked (S702). The target vehicle identification unit 412 receives image data, signal data, etc. from the sensors of the vehicle 31. The system identifies the vehicle to be driven by comparing it with the vehicle information stored in the memory unit 431. By combining these methods, certain reliability can be improved.

[0089] The destination setting unit 413 accepts the destination input (S703). The input method is via an in-vehicle terminal. It supports a variety of methods, including touch panel, voice input, and smartphone apps. In the case of elderly mobility support services, multiple destinations are set, and the optimal route is automatically generated. The function may be executed.

[0090] The mode switching unit 411 instructs the vehicle control unit 414 to start automatic driving (S704). The instructions include identification information of the vehicle being tracked, destination information, driving mode parameters, etc. The mode switching unit 411 simultaneously notifies each functional unit of the change in operating mode.

[0091] The vehicle control unit 414 continuously receives information from the tracking target vehicle identification unit 412 and the sensors of the vehicle 31. Upon receiving the report, the system follows the target vehicle (S705). The following control system maintains an appropriate distance between vehicles. This includes maintaining position, following lane changes, and stopping and starting at traffic lights. The control algorithm is predictive. You could also utilize control systems and machine learning to achieve smoother tracking.

[0092] The vehicle control unit 414 detects arrival at the destination, terminates tracking control, and stops the vehicle 31. (S706). Arrival detection involves matching GPS location information with destination coordinates and building recognition using image recognition. This is done by checking signs and other information. The stopping position is automatically selected considering safety and convenience. It may also be used.

[0093] The fare calculation unit 416 obtains mileage data from the tracking distance measurement unit 415 and calculates the fare. (S707). The fare calculation includes elements such as a base fare, distance fare, time-of-day fare, and regional fare. It may be included. Furthermore, dynamic pricing based on the balance of supply and demand may be applied. .

[0094] The communications unit 417 transmits the calculated fare information to the user terminal and / or the designated driver's terminal. (S708). The information transmitted includes service details such as fare breakdown, route, and estimated travel time. It may be included. Also, it may be integrated with an electronic payment system to automatically collect payments. It is also possible.

[0095] Next, the processing flow of the second embodiment will be described. The mode switching unit 411 is in automatic operation mode. This setting is activated when the driver is unable to drive due to intoxication or illness. (S801) If this occurs, or if certain conditions (nighttime hours, bad weather, etc.) are met, it will be executed. That's good too.

[0096] The automatic driving control unit 419 acquires current location information from the vehicle 31 and the drivable range database Match to S432 (S802). The matching process involves positioning data from GPS and GNSS. Map matching technology, geofencing technology, etc., will be utilized to improve positional accuracy. Multiple positioning methods may be integrated.

[0097] The automatic driving control unit 419 determines whether the vehicle 31 is within the drivable range (S803). In this process, not only the current position but also the vehicle's orientation and speed are considered to prevent deviations from the drivable range. It may also include a feature that predicts the outcome in advance.

[0098] The automatic driving control unit 419 acquires driver status information from the vehicle 31's sensors and initiates automatic driving. The status information is checked against the feasibility database 433 (S804). The status information includes alcohol concentration. This may include body temperature, biometric information (heart rate, blood pressure, body temperature, etc.), and assessment of consciousness level through image recognition. Cut.

[0099] The automatic driving control unit 419 determines whether the driver's state is in a state where automatic driving can be performed (S 805). The criteria for judgment are set based on laws and regulations, medical knowledge, safety standards, etc., and as needed. It can be updated.

[0100] The automatic driving control unit 419 determines the drivable range and the driver status (S803 and S805 Based on the above, the feasibility of implementing autonomous driving is determined (S806). Only if both conditions are met. Autonomous driving is permitted. If any of the conditions are not met, the system will take alternative measures (human intervention). You may also suggest arranging a designated driver service.

[0101] The destination setting unit 413 accepts destination input (S807). Input is via voice recognition, etc. It is executed by touch operation, selection from pre-registered locations, etc. In an emergency, the nearest safe place It is also possible to implement a function that automatically sets places or medical facilities as destinations.

[0102] The destination setting unit 413 checks whether the entered destination is within the drivable range or the drivable range data Match to Tababase 432 (S808). For matching, the entire route to the destination must be within the drivable range. This also includes checking whether it is contained within the enclosure.

[0103] If the entered destination is outside the drivable range, the destination setting unit 413 will suggest an alternative destination. , finalize the destination (S809). The alternative destination is the most desired destination within the drivable range. Locations may be selected based on criteria such as proximity to public transportation or good connections to public transport.

[0104] The mode switching unit 411 instructs the vehicle control unit 414 to start automatic driving (S810). This includes destination information, route information, control parameters, emergency response procedures, etc.

[0105] The vehicle control unit 414 continuously receives information from the sensors of the vehicle 31 and automatically drives the vehicle to its destination. Perform rotation (S811). During autonomous driving, environmental recognition, route following, obstacle avoidance, signal recognition, and target recognition are performed. It continuously performs recognition and other processing. In addition, to prevent deviation from the drivable range, boundary contact In recent times, a warning will be issued, and the vehicle will stop safely if necessary.

[0106] The vehicle control unit 414 detects arrival at the destination, terminates tracking control, and stops the vehicle 31. (S812). After stopping, depending on the driver's status, control authority may be returned or the vehicle may be switched to parking mode. Select the appropriate action, such as sending a message or making an emergency contact.

[0107] <Specific implementation examples and variations> The following describes specific embodiments of the present invention. These are examples demonstrating the applicability of the present invention. This is an illustration and does not limit the technical scope of the present invention.

[0108] <Example 1> This is an example of applying the present invention to a designated driver service for customers who have consumed alcohol at a restaurant. (Escort vehicle) Both vehicles are modified versions of escort vehicles owned by conventional designated driver services or small vehicles owned by taxi companies. It is possible to install high-resolution cameras, millimeter-wave radar, LiDAR, etc. on the front and rear of the vehicle. Alternatively, these may be installed in combination. The tracking target vehicle identification device uses the user's vehicle number. - The plate is photographed and registered in advance using a smartphone app, and then identified through image recognition. These are some of the things that can be done.

[0109] At the start of the service, the designated driver will be in the user's vehicle, and the escort vehicle will be switched to automatic tracking mode. The service is then changed. Upon arrival at the destination, payment is made and the service is completed, just as with conventional designated driver services. Afterwards, The escort vehicle is switched to manual driving mode, and the substitute driver heads to the next customer's location.

[0110] <Example 2> This is an example of applying the present invention to shopping assistance for the elderly in a regional city. A group of up to 6 people will form and share a vehicle owned by one of the members. This involves manually driving an escort vehicle to the primary user who owns the vehicle, and the elderly are the primary users. After switching to the next vehicle, the escort vehicle switches to automatic tracking mode. Then, at each elderly person's home The vehicle will be driven around, picking up passengers and efficiently visiting supermarkets, hospitals, banks, etc., while being accompanied by a driver. The vehicle will track the target using autonomous driving.

[0111] By using autonomous driving for the escort vehicle, service provision costs will be reduced, and the price will be lower (50 per person per ride). It can be set to around 0 yen (equivalent to using a bus). Destination setting devices are often The facilities to be used are pre-registered and can be easily selected using voice input. (Patrol route optimization machine) The system automatically generates an efficient route that takes everyone's preferences into account.

[0112] <Example 3> This is an example of a service for users in snowy regions who feel uneasy about driving due to sudden heavy snowfall. Automated driving during inclement weather will be permitted only on major arterial roads designated by the local government. Vehicles will be equipped with snow-resistant sensors. The vehicle may be equipped with additional sensors to detect road surface conditions, or it may communicate with an external source to detect snowfall and snow accumulation. A recognition function will be added. Autonomous driving will become available when poor visibility or icy roads are detected. This could also be a mechanism.

[0113] When a user gives a voice command such as "Drive home automatically," the system will then drive from its current location to their home. The system checks if the route is within the drivable range and, if possible, starts autonomous driving. Current location is If you are in a location where autonomous driving cannot be initiated, select the nearest point within the autonomous driving range. They can be guided and encouraged to drive to that point on their own. Along the route to the destination, If there is a section outside the operating range, the vehicle will automatically drive to the nearest safe location and then be handed over to a human. It can also be automatically transferred to a designated driver service.

[0114] <Example 4> This is an emergency response service for users who feel unwell while driving. The vehicle is equipped with a steering wheel. It features a heart rate sensor integrated into the wheel, a facial recognition system using an in-car camera, and more. If the system detects an abnormal heart rate pattern or facial pallor, it will ask, "How are you feeling?" " he confirms with an audio message.

[0115] If the user responds with something like "I'm not feeling well," or if there is no response, the system will automatically connect to the nearest medical facility. Set the destination and switch to limited autonomous driving mode. At the same time, set emergency contacts (family, Automatic notification will be sent to your primary care physician, etc. If there is an area outside the drivable range on the route to the medical facility, The system will also include a feature that automatically stops the vehicle in a safe location and requests an ambulance.

[0116] <Example 5> This is a designated driver service for tourists visiting multiple tourist spots in a tourist area. After arriving at the tourist destination by rental car, you can enjoy food, drinks, and experiences at each tourist spot using a designated driver service. Use the service. The designated driver may also be a qualified tour guide and can provide sightseeing information during the ride. It is desirable that this be done.

[0117] The escort vehicles will be small electric vehicles capable of tracking even on narrow roads and in parking lots in tourist areas. When multiple tourist groups share a ride, the destination setting device integrates the preferences of each group, making it efficient. We propose efficient patrol routes. The fee will be based on time rather than distance (e.g., 5,000 yen per hour). Alternatively, the bill can be split among the group members.

[0118] <Example 6> This is an example of innovating vehicle ownership models and business models in mobility support services for the elderly. For example, five elderly people in the community form a group, and four of them sell their vehicles. The remaining member owns a vehicle equipped with limited autonomous driving capabilities and provides transportation support for the entire group. We will build a vehicle sharing model, which means a system where multiple users share a single vehicle. Furthermore, these multiple users have pre-defined groups such as "housewives of XX town". It may be formed.

[0119] Designated driver service providers offer not only driving services but also mediation and management services for vehicle sharing. We also offer a service. Specifically, we will act as an agent for the disposal of four used cars and obtain a fair disposal fee. For the remaining vehicle, a subscription (SaaS) contract for limited autonomous driving functionality will be provided. We provide this service. We also handle the coordination of usage among the five people sharing the vehicle, setting fees, and payment processing. Reduce the risk of recall.

[0120] The fare calculation device and fare calculation unit are designed to handle complex fare settlements between individuals. The vehicle owner will be charged a basic fee, a usage-based fee based on time and distance, and a fee for using the autonomous driving function, etc. It manages everything in an integrated manner and automatically calculates the amount billed to each user. Payment is handled by the designated driver service provider. The process will be handled in a single batch, and distribution to vehicle owners will also be automated.

[0121] This model allows seniors to significantly reduce vehicle maintenance costs while still having access to transportation as needed. This can be secured. The vehicle owner can cover part of the maintenance costs with usage fees from the other four people. This allows designated driver service providers to secure a stable source of revenue. In the future, fully autonomous driving... This would free vehicle owners from the burden of driving, leading to the development of a true vehicle-sharing service. It is expected that this will happen.

[0122] These embodiments can also be combined with each other. For example, services for the elderly. This could involve adding a function to detect physical ailments or incorporating an autonomous driving function for bad weather into tourist services. This will enable us to provide more comprehensive services. Furthermore, in the future, advancements in fully autonomous driving technology will be beneficial. Consequently, it is expected that this will lead to the development of a fully automated service that eliminates the need for designated drivers.

[0123] The above-described embodiments are merely examples for facilitating the understanding of the present invention and are not intended to limit the present invention for interpretation. It is needless to say that the present invention can be changed, improved without departing from its gist, and equivalents thereof are included in the present invention.

[0124] <Disclosed matters> In addition, the present disclosure also includes the following configurations. [Item 1] A following vehicle in proxy driving, a tracking target vehicle specifying device for specifying a driving proxy target vehicle tracked by the following vehicle, a vehicle control device having a function of tracking the driving proxy target vehicle with no driver on the following vehicle, and a mode switching device for switching between a mode in which the following vehicle is driven by a driver and a mode in which the driving proxy target vehicle is tracked with no driver on the following vehicle. The following vehicle for proxy driving is characterized by including these components. [Item 2] The following vehicle according to Item 1, further including a tracking distance measuring device for measuring the distance that the following vehicle has tracked the following target vehicle. The following vehicle for proxy driving is characterized by including this component. [Item 3] The following vehicle according to Item 2, further including a fee calculation device for calculating a proxy driving fee based on the tracking distance measured by the tracking distance measuring device or a communication device for calculating a fee by server communication. The following vehicle for proxy driving is characterized by including this component. [Item 4] The following vehicle according to any one of Items 1 to 3, further including a destination setting device having a destination reception unit for receiving an input of a destination in advance. The following vehicle for proxy driving is characterized by including this component. [Item 5]​​ The accompanying vehicle according to item 1, a communication device capable of communicating with a communication device held by a substitute driver who rides in the vehicle to be driven by proxy is, further provided, and characterized in that it is an accompanying vehicle for substitute driving. [Item 6] An information processing system for assisting substitute driving, where the system is installed in an accompanying vehicle for substitute driving or in a server capable of communicating with the accompanying vehicle for substitute driving, a tracking target vehicle specifying unit that specifies a vehicle to be driven by proxy that is tracked by the accompanying vehicle, a vehicle control unit having a function of tracking the vehicle to be driven by proxy in a state where a driver does not ride in the accompanying vehicle, and a mode switching unit for switching between a mode in which the accompanying vehicle is driven by a driver and a mode in which the vehicle to be driven by proxy is tracked in a state where the driver does not ride, is provided, and characterized in that it is an information processing system. [Item | 7] The information processing system according to item 6, further provided with a tracking distance measuring unit that measures the distance by which the accompanying vehicle has tracked the accompanying target vehicle, and characterized in that it is an information processing system. [Item 8] The information processing system according to item 7, further provided with a fee calculation unit that calculates a substitute driving fee from the tracking distance measured by the tracking distance measuring unit, and characterized in that it is an information processing system. [Item 9] The information processing system according to any one of items 6 to | 8, further provided with a destination receiving unit that receives an input of a destination in advance, and characterized in that it is an information processing system. [Item 10] A vehicle configured to be capable of autonomous driving, [Item 10] ​​A driving range setting device that sets the range in which driving by the aforementioned automated driving is possible, A memory device that stores in advance the conditions under which the aforementioned autonomous driving can be performed, An automatic driving control device that determines whether the conditions for performing the aforementioned automatic driving are met, A destination setting device for pre-setting the destination to be traveled to by the aforementioned autonomous driving, A vehicle characterized by being equipped with the following features. [Item 11] The range in which autonomous driving is possible is limited to one of the following: a specific region, municipality, or road. It is determined by these combinations. The vehicle listed in item 10. [Item 12] The conditions under which autonomous driving can be implemented include situations where the driver cannot control the vehicle, and during specific time periods. Traffic congestion in the surrounding area, the status of other autonomous vehicles in the area, the driver's skill level, the driver's physical condition. Defects are determined by any one or a combination thereof. The vehicle listed in item 10. [Item 13] The circumstances under which the driver is unable to control the vehicle are one of the following: intoxication, injury, or mental illness. , The vehicle listed in item 12. [Item 14] The aforementioned automatic driving control device detects the alcohol concentration in the driver's breath, the driver's request, and the time. , information regarding the traffic congestion situation in the surrounding area, information regarding the driving status of autonomous vehicles in the surrounding area, surrounding If any one or a combination of these weather conditions makes the aforementioned automated driving possible To determine whether or not it exists. The vehicle listed in item 10. [Item 15] The destination to which the vehicle travels using the aforementioned autonomous driving system is any location specified by the user. The vehicle listed in item 10. [Item 16] An information processing system for controlling the autonomous driving of an automobile, A travelable range setting unit that sets a range within which travel by the automatic driving is possible; A storage unit that stores in advance situations in which the automatic driving can be performed; An automatic driving control unit that determines whether the situation is one in which the automatic driving can be performed; A destination setting unit that sets in advance a destination to be traveled by the automatic driving; An information processing system, characterized by comprising the above. [Item 17] The range within which travel by the automatic driving is possible is determined by any one of a specific area, a local government, a road, or a combination thereof. The information processing system according to Item 16. The information processing system according to Item 16. [Item 18] The situations in which the automatic driving can be performed are determined by any one or a combination of a situation where the driver cannot control the vehicle, a specific time period, the traffic congestion situation of surrounding vehicles, the traveling situation of surrounding autonomous vehicles, the lack of skill of the driver, and the poor physical condition of the driver. The information processing system according to Item 16. The information processing system according to Item 16. The information processing system according to Item 16. [Item 19] The situation where the driver cannot control the vehicle is any one of drinking alcohol, being injured, and having a mental illness. , The information processing system according to Item 18. [Item 20] The automatic driving control unit determines whether the situation is one in which the automatic driving can be performed based on any one or a combination of the alcohol concentration in the driver's breath, the declaration by the driver, the time, the situation regarding the traffic congestion situation of surrounding vehicles, the information regarding the traveling situation of surrounding autonomous vehicles, and the weather of the surroundings. The information processing system according to Item 16. The information processing system according to Item 16. The information processing system according to Item 16. The information processing system according to Item 16. [Item 21] The destination to be traveled by the automatic driving is an arbitrary location specified by the user. The information processing system according to Item 16. [Item 22] The aforementioned destinations are multiple destinations desired by each of the multiple users. The information processing system described in item 21. [Item 23] An information processing system described in any one of items 16 to 22, Usage coordination and pricing for services where multiple users utilize a single vehicle. An information processing system characterized by further comprising a vehicle sharing management unit that handles payment processing. [Explanation of Symbols]

[0125] 10 sensors 20. Substitute driver control system 21 Mode switching device 22. Tracking target vehicle identification device 23 Destination setting device 24 Tracking distance measuring device 25. Price Calculation Device 26 Communication equipment 27. Device for setting the drivable range 28 Storage device 29. Automated driving control system 30 Vehicle control device 31 vehicles 32 Management Server 401 CPU 402 memory 403 Storage device 404 Communication Interface 405 Input device 406 Output device 411 Mode switching section 412 Tracking Target Vehicle Identification Unit 413 Destination Setting Section 414 Vehicle Control Unit 415 Tracking distance measurement unit 416 Billing Department 417 Communications Department 418 Driving range setting unit 419 Automatic Driving Control Unit 431 Storage section 432 User Database 433 Driving Range Database 434 Database of Autonomous Driving Feasibility

Claims

1. A vehicle configured to provide an unmanned driver service, A driving range setting device that sets the range in which driving by the aforementioned automated driving is possible, A memory device that stores in advance the conditions under which the aforementioned autonomous driving can be performed, An automatic driving control device that determines whether the conditions for performing the aforementioned automatic driving are met, A destination setting device for pre-setting the destination to be traveled to by the aforementioned autonomous driving, Equipped with, A fare calculation device that calculates an automated driving function usage fee according to the time or distance traveled by the automated driving function, and is capable of communicating information regarding the automated driving function usage fee, A vehicle characterized by having additional features.

2. The range in which autonomous driving is possible is determined by one or a combination of specific regions, municipalities, roads, etc. The vehicle according to claim 1.

3. The conditions under which autonomous driving is possible are determined by one or a combination of the following: a situation in which the driver is unable to control the vehicle, a specific time of day, traffic congestion in the surrounding area, the status of other autonomous vehicles in the area, insufficient driver skill, or poor health of the driver. The vehicle according to claim 1.

4. The vehicle according to claim 3, wherein the circumstances under which the driver is unable to control the vehicle are one of the following: drinking alcohol, injury, or mental illness.

5. The automated driving control device determines whether or not the conditions for automated driving are suitable based on one or a combination of the following: the alcohol concentration in the driver's breath, the driver's request, the time, the traffic congestion situation in the surrounding area, information on the driving status of other automated driving vehicles in the surrounding area, and the weather in the surrounding area. The vehicle according to claim 1.

6. The destination to which the vehicle travels using the aforementioned autonomous driving system is any location specified by the user. The vehicle according to claim 1.

7. An information processing system for controlling the autonomous driving of a vehicle that provides an unmanned substitute driving service, A driving range setting unit that sets the range in which driving by the aforementioned automated driving is possible, A storage unit that stores in advance the conditions under which the aforementioned automated driving can be performed, An automatic driving control unit that determines whether the conditions are suitable for performing the aforementioned automatic driving, A destination setting unit that pre-sets the destination to be traveled to by the aforementioned autonomous driving, Equipped with, A fee calculation unit that calculates an autonomous driving function usage fee according to the time or distance traveled by the autonomous driving function, and is capable of communicating information regarding the autonomous driving function usage fee, An information processing system characterized by further comprising the following features.

8. The range in which autonomous driving is possible is determined by one or a combination of specific regions, municipalities, roads, etc. The information processing system according to claim 7.

9. The conditions under which autonomous driving is possible are determined by one or a combination of the following: a situation in which the driver is unable to control the vehicle, a specific time of day, traffic congestion in the surrounding area, the status of other autonomous vehicles in the area, insufficient driver skill, or poor health of the driver. The information processing system according to claim 7.

10. The information processing system according to claim 9, wherein the circumstances under which the driver is unable to control the vehicle are one of the following: drinking alcohol, injury, or mental illness.

11. The automatic driving control unit determines whether the conditions are suitable for automatic driving based on one or a combination of the following: the alcohol concentration in the driver's breath, the driver's request, the time, the traffic congestion situation in the surrounding area, information on the driving status of other automatic driving vehicles in the surrounding area, and the weather in the surrounding area. The information processing system according to claim 7.

12. The destination to which the vehicle travels using the aforementioned autonomous driving system is any location specified by the user. The information processing system according to claim 7.

13. The aforementioned destinations are multiple destinations desired by each of the multiple users. The information processing system according to claim 12.

14. An information processing system according to any one of claims 7 to 13, An information processing system further characterized by having a vehicle sharing management unit that handles usage coordination, pricing, and payment processing among multiple users in a service where multiple users utilize a single vehicle.

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