Information processing methods, programs, and information processing devices.

Abstract

To enable vehicles to move appropriately in areas without traffic regulations. [Solution] An information processing method performed by an information processing device, comprising: acquiring feature information relating to a feature located at a predetermined position within a predetermined area on which a vehicle travels and which is free from traffic regulations; identifying the location of the feature indicated by the feature information in the map data based on the feature information and map data relating to the predetermined area; and setting a route for the vehicle based on the identified location and the vehicle's current location.

Description

[Technical Field]

[0001] The disclosed technology relates to an information processing method, a program, and an information processing apparatus. [Background Art]

[0002] In recent years, technological development for generating high-precision map data and using the map data for automatic driving and the like has been actively carried out. Generally, when map data used for automatic driving and the like is generated, features are detected by various sensors mounted on a vehicle, feature data related to the features is generated, and the feature data is associated with the map data. This enables the vehicle to appropriately grasp features around the host vehicle using the feature data associated with the map data. It is known that this feature data includes information on the type of external sensor and environmental information on the environment when detecting a feature for each type of external sensor (see, for example, Patent Document 1). [Prior Art Documents] [Patent Documents]

[0003] [Patent Document 1] Japanese Unexamined Patent Application Publication No. 2020-73893 [Summary of the Invention] [Problem to be Solved by the Invention]

[0004] Here, in the conventional technology, MMS( M obile M apping S ystem) high-precision map data is generated based on point cloud data and various types of data obtained when a measurement vehicle equipped with MMS measurement travels on a roadway.

[0005] Furthermore, there is a need to operate autonomous mobility vehicles not only on highways and general roads where typical autonomous vehicles are planned to operate, but also within airports and ports. This is because labor shortages in ground handling operations at airports and ports have made efficiency improvements and labor-saving measures crucial. However, unlike general roads, airports and ports lack traffic regulations, making it difficult to properly control the movement of vehicles, including autonomous mobility vehicles.

[0006] Therefore, the disclosed technology was developed in light of these circumstances, and aims to enable vehicles to move appropriately in areas without traffic regulations. [Means for solving the problem]

[0007] An information processing method performed by an information processing device, which is an embodiment of the disclosed technology, comprising: acquiring feature information relating to a feature located at a predetermined position within a predetermined area on which a vehicle travels and which is free from traffic regulations; identifying the location of the feature indicated by the feature information in the map data based on the feature information and map data relating to the predetermined area; and setting a route for the vehicle based on the identified location and the vehicle's current location. [Effects of the Invention]

[0008] According to the disclosed technology, vehicles can move appropriately in areas without traffic regulations. [Brief explanation of the drawing]

[0009] [Figure 1] A diagram showing an example of the configuration of an information processing system according to the first embodiment of the disclosed technology. [Figure 2] A diagram showing an example of the configuration of an information processing device according to one embodiment of the disclosed technology. [Figure 3]A diagram showing an example of feature information relating to one or more features associated with a spot number of the disclosed technology, relating to features corresponding to the attributes of the vehicle 10. [Figure 4] A sequence diagram showing an example of information processing according to one embodiment of the disclosed technology. [Modes for carrying out the invention]

[0010] The embodiments of this disclosure will be described in detail below with reference to the attached drawings.

[0011] <First Embodiment> Figure 1 is a diagram showing an example of the configuration of an information processing system 1 according to the first embodiment of the disclosed technology. In the example shown in Figure 1, the information processing system 1 is configured, exemplary, to include a vehicle 10, an information processing device 20, an information processing device 30, and a network N.

[0012] Vehicle 10 is an autonomous vehicle (self-driving car) whose driving is controlled by a computer. Vehicle 10 is a vehicle that travels in a designated area without traffic regulations. A designated area without traffic regulations is, for example, the area where aircraft move at an airport. Vehicle 10 is, for example, a ground support vehicle that travels in the area where aircraft move at an airport (e.g., equipment transport vehicle, passenger transport vehicle, fuel transport vehicle, food transport vehicle, and cargo transport vehicle, etc.). Note that there may be one or more vehicles 10.

[0013] Vehicle 10 may be a vehicle that temporarily operates autonomously during travel. For example, vehicle 10 may primarily operate autonomously, with the driver taking over as needed.

[0014] Vehicle 10 does not necessarily have to be an autonomous vehicle. For example, vehicle 10 may be a vehicle that is always driven by a person.

[0015] In the example shown in Figure 1, vehicle 10 travels across the apron (the area within the airport where aircraft are parked), which is the area where aircraft move. Generally, there are multiple spots (specific locations where aircraft are parked) on the apron. Generally, there are one or more areas on a spot where designated airport operations are performed. In the example shown in Figure 1, spot S has an aircraft waiting area E, a passenger boarding area P, and a towing vehicle waiting area T. Also, generally, each spot is associated with a spot number to identify it. The spot number is marked on the ground of the apron. In the example shown in Figure 1, the spot number SN(146) to identify spot S is marked on the ground of the apron. In reality, there are airports where a specific spot and an adjacent spot partially overlap, and areas in a specific spot (e.g., an aircraft waiting area) may also exist in an adjacent spot.

[0016] In the example shown in Figure 1, vehicle 10 is a towing tractor, which is a cargo transport vehicle. A towing tractor is a vehicle used to transport cargo to be loaded onto (or unloaded from) an aircraft parked at spot S. In the example shown in Figure 1, vehicle 10, which is a towing tractor, travels to the towing vehicle waiting area T in order to perform airport operations.

[0017] The information processing device 20 is, for example, a server. The information processing device 20 (hereinafter also referred to as "server 20") transmits feature information to the information processing device 30 regarding features located in a predetermined area without traffic rules to the vehicle 10. In the example shown in Figure 1, the server 20 transmits feature information to the vehicle 10 regarding features located in a predetermined area within the area where an aircraft moves at an airport. More specifically, the server 20 transmits feature information to the information processing device 30 installed in the vehicle 10 via the network N regarding features indicating the destination of the vehicle 10.

[0018] The server 20 is installed at any arbitrary location. The server 20 may be installed at a predetermined position within a predetermined area where there are no traffic regulations. In the example shown in FIG. 1, the server 20 is installed at a predetermined position in an airport. As a preferable example, the server 20 is, for instance, provided in an air traffic control tower of the airport. The server 20 may be installed at a predetermined position outside the site of the airport.

[0019] The information processing device 30 is an information processing device that controls the travel of the vehicle 10 based on feature information acquired from the server 20. For example, when the vehicle 10 is a towing tractor that is an autonomously traveling vehicle, the information processing device 30 controls the vehicle 10 to autonomously travel to the towing vehicle standby area T. A detailed description of the processing performed by the information processing device 30 will be given later.

[0020] Furthermore, when the vehicle 10 is a vehicle driven by a person, the information processing device 30 may issue travel-related instructions to the driver of the vehicle 10. The instructions may be output to an output device mounted on the vehicle 10. For example, the driver of the vehicle 10 drives the vehicle 10 in a predetermined area without traffic regulations in accordance with instructions displayed on a monitor serving as the output device. For example, the driver of the vehicle 10 drives the vehicle 10 in a predetermined area without traffic regulations in accordance with instructions output as audio from a speaker serving as the output device.

[0021] The network N is implemented by, for example, a network such as the Internet or a mobile phone network, a LAN ( L ocal A rea N etwork), or a network combining any of these.

[0022] The information processing device 30 may store map data relating to a predetermined area without traffic regulations (in the example shown in FIG. 1, the area where aircraft move within an airport). The information processing device 30 may, for example, store three-dimensional high-precision map data (hereinafter also referred to as "HD ( H igh D efinition) map") relating to said predetermined area. Furthermore, the HD map may also be stored in the server 20.

[0023] The information processing device 30 may, for example, use an HD map to control the vehicle 10 so that it autonomously travels within the area indicated by the HD map. Alternatively, the driver of the vehicle 10 may operate the vehicle 10 while referring to the HD map displayed on a display device (e.g., a monitor) installed in the vehicle 10.

[0024] HD maps are high-precision 3D map data used, for example, in autonomous driving. Specifically, this map data is a type of dynamic map data that is provided in real time with more dynamic information added, such as information on surrounding vehicles and traffic information.

[0025] The HD maps used in this embodiment are classified, for example, into static information, quasi-static information, quasi-dynamic information, and dynamic information.

[0026] Static information, for example, is high-precision 3D base map data (high-precision 3D map data) that includes road surface information, lane information, 3D structures, etc., and is composed of 3D position coordinates and linear vector data that represent features. Quasi-static information, quasi-dynamic information, and dynamic information are dynamic data that changes moment by moment and are superimposed on static information based on position information. HD maps include static information, quasi-static information, quasi-dynamic information, and dynamic information, and each type of information is related to the others.

[0027] Semi-static information includes traffic regulation information, road construction information, and wide-area weather information. Semi-dynamic information includes accident information, congestion information, and local weather information. Dynamic information is ITS ( I ntelligent T ransport S This includes system information, as well as information on surrounding vehicles, pedestrians, and traffic signals.

[0028] <Configuration of the information processing device> Figure 2 shows an example of the configuration of an information processing device 30 according to one embodiment of the disclosed technology. The information processing device 30 comprises one or more processors (CPU:C entral P rocessing U The system includes a 310 (nit), one or more network communication interfaces 320, a storage device 330, a user interface 340, and one or more communication buses 350 for interconnecting these components. The user interface 340 may be connected via a network.

[0029] The storage device 330 is, for example, a high-speed random-access memory such as DRAM, SRAM, or other random-access solid-state memory. Alternatively, the storage device 330 may be a non-volatile memory such as one or more magnetic disk storage devices, optical disk storage devices, flash memory devices, or other non-volatile solid-state memory devices. Alternatively, the storage device 330 may be a computer-readable non-temporary recording medium.

[0030] Another example of the storage device 330 may be one or more storage devices located remotely from the processor 310. In one embodiment, the storage device 330 stores programs, modules, and data structures, or subsets thereof, executed by the processor 310.

[0031] The storage device 330 stores data used by the information processing system 1. For example, the storage device 330 stores map data (e.g., HD map) relating to a predetermined area without traffic regulations. The storage device 330 may be either a storage device built into the information processing device 30 or an external storage device.

[0032] The processor 310 that executes the processing according to this embodiment will now be described. The processor 310 controls the processing to be performed by the information processing unit 312 by executing a program stored in the storage device 330.

[0033] The information processing unit 312 includes, for example, an acquisition unit 313, a specification unit 314, a setting unit 315, and a vehicle control unit 316.

[0034] The acquisition unit 313 acquires feature information about features located at predetermined locations within a predetermined area where the vehicle 10 travels and where there are no traffic regulations. The acquisition unit 313 also acquires feature information about features located within the area where the aircraft is traveling from the server 20, for example, via the network N.

[0035] In this case, the server 20 transmits feature information about features present at the destination of the vehicle 10 to the information processing device 30. In the example shown in Figure 1, the acquisition unit 313 acquires feature information about the towing vehicle waiting area T as a feature from the server 20.

[0036] Returning to Figure 2, the identification unit 314 identifies the location of the feature indicated by the feature information in the map data based on the feature information acquired by the acquisition unit 313 and map data relating to a predetermined area (a predetermined area on which the vehicle 10 travels and which does not have traffic rules). For example, the identification unit 314 identifies the location of the feature indicated by the feature information in the HD map based on the feature information and the HD map.

[0037] In the example shown in Figure 1, the identification unit 314 identifies the towing vehicle waiting area T on the HD map based on feature information related to the towing vehicle waiting area T as a feature acquired by the acquisition unit 313 and an HD map relating to the area in which the aircraft moves. The identification unit 314 identifies the location of the towing vehicle waiting area T on the HD map, for example, based on the three-dimensional position coordinates indicating the features that constitute the static information included in the HD map.

[0038] Returning to Figure 2, the setting unit 315 sets the route for the vehicle 10 based on the location identified by the identification unit 314 and the current location of the vehicle 10. In the example shown in Figure 1, the setting unit 315 sets the route for the vehicle 10 to the towing vehicle waiting area T based on, for example, the location of the towing vehicle waiting area T on the HD map and the current location of the vehicle 10 (the location of the vehicle 10 shown in Figure 1). The setting unit 315 may also set the shortest route among the routes that the vehicle 10 can travel from its current location to the location identified by the identification unit 314, based on the HD map. Since the HD map includes static information, quasi-static information, quasi-dynamic information, and dynamic information, the setting unit 315 can set the route based on this information.

[0039] Through the above process, the information processing device 30 can set a route for the vehicle 10 to travel in a predetermined area without traffic regulations. Furthermore, even if a parking area is not explicitly set within the predetermined area, by virtually setting feature information, it becomes possible to set the unspecified area as a destination as feature information. As a result, the information processing device 30 can control the movement of the vehicle 10 based on the set route.

[0040] For example, if vehicle 10 is an autonomous vehicle, the information processing device 30 controls vehicle 10 to autonomously travel along a route set by the setting unit 315. Alternatively, if vehicle 10 is a vehicle driven by a human, the information processing device 30 may give the driver driving instructions based on the route. These driving instructions may be output to an output device installed in vehicle 10. The driver of vehicle 10 drives vehicle 10 to travel along the set route, for example, by following the driving instructions displayed on a monitor acting as an output device. Or, the driver of vehicle 10 drives vehicle 10 to travel along the set route, for example, by following driving instructions voice-output to a speaker acting as an output device. As a result, vehicle 10 becomes capable of moving appropriately in areas without traffic regulations.

[0041] Furthermore, generally speaking, when a human-driven vehicle travels in an area with traffic regulations (e.g., a public road), a route is set for navigation, and the navigation often ends when the vehicle arrives in the target area (e.g., around the destination). However, in the case of autonomous vehicles, the journey from the current location to the destination (e.g., a predetermined point) may be controlled. Applying the disclosed technology makes it possible to set a route and control the journey from the current location to a predetermined destination for autonomous vehicles traveling in areas without traffic regulations.

[0042] Furthermore, as mentioned above, there are airports where specific spots and adjacent spots partially overlap, and areas located in a specific spot (for example, equipment waiting areas) may also exist in adjacent spots. In this regard, by applying the disclosed technology, even in airports like the one described above, the information processing device 30 can set the route of the vehicle 10 based on the feature information acquired from the server 20.

[0043] As described above, the designated area on which the vehicle 10 travels and which is free from traffic regulations may also be the area on which the aircraft travels (hereinafter also referred to as the "first area").

[0044] The acquisition unit 313 may acquire second area information relating to the second area, including the parking position of the aircraft within the first area. The acquisition unit 313 acquires second area information relating to the spot as the second area from the server 20, for example, via the network N. In the example shown in Figure 1, the acquisition unit 313 acquires second area information relating to the spot S as the second area from the server 20. More specifically, the acquisition unit 313 acquires the spot number associated with spot S (146 in the example shown in Figure 1) as second area information.

[0045] The acquisition unit 313 may acquire feature information associated with the second area information. For example, the acquisition unit 313 acquires feature information associated with the acquired spot number.

[0046] The storage device 330 of the information processing device 30 mounted on the vehicle 10 may store feature information associated with the spot number, and feature information corresponding to the vehicle 10 in the storage device 330. For example, the storage device 330 of the information processing device 30 mounted on the vehicle 10 may store data in which the spot number and feature information are associated in a one-to-one correspondence. More specifically, the storage device 330 mounted on the vehicle 10 which is a towing tractor may store the towing vehicle waiting area T as feature information associated with the spot number SN(146). The storage device 330 mounted on the vehicle 10 which is an equipment transport vehicle may store the equipment waiting area E as feature information associated with the spot number SN(146). The storage device 330 mounted on the vehicle 10 which is a passenger transport vehicle may store the passenger boarding area P as feature information associated with the spot number SN(146).

[0047] When the spot number (146) is obtained from the server 20 as second-area information, the acquisition unit 313 obtains the towing vehicle waiting area T associated with the spot number (146) from the storage device 330 as feature information.

[0048] The identification unit 314 may identify the location of the towing vehicle waiting area T in the map data based on the map data (e.g., HD map) relating to the towing vehicle waiting area T and the first region as feature information acquired by the acquisition unit 313.

[0049] Through the above process, the information processing device 30 can set the route of the vehicle 10 based on the spot number obtained from the server 20. As a result, the server 20 does not need to manage feature information about features in the area where the aircraft is moving, and only needs to manage spot numbers that are fewer in number than the features in question, thus reducing the processing load on the server 20.

[0050] Furthermore, as mentioned above, there are airports where a specific spot and an adjacent spot partially overlap, and areas located in a specific spot (for example, an equipment waiting area) may also exist in an adjacent spot. In this regard, by applying the disclosed technology, even in airports like the one described above, the information processing device 30 can set the route of the vehicle 10 based on the spot number obtained from the server 20, without directly obtaining information about the destination area of ​​the vehicle 10 from the server 20.

[0051] The acquisition unit 313 may acquire feature information relating to features corresponding to the attributes of the vehicle 10, which is associated with the second area information.

[0052] The storage device 330 of the information processing device 30 mounted on the vehicle 10 may store feature information relating to one or more features associated with a spot number, and feature information relating to features corresponding to the attributes of the vehicle 10.

[0053] Figure 3 shows an example of feature information relating to one or more features associated with a spot number, and is specific to the attributes of the vehicle 10. The data shown in Figure 3 includes, but is not limited to, various data / information such as "Group ID," "Spot Number," "TT Vehicle Waiting Area," "Equipment Waiting Area," and "Passenger Boarding Area." Unlike data where spot numbers and feature information are associated in a one-to-one correspondence, the data shown in Figure 3 is associated in a one-to-many correspondence. The data shown in Figure 3 may be stored as common data in the storage device 330 installed in all vehicles 10 to which spot numbers are transmitted from the server 20, regardless of the attributes of the vehicle 10.

[0054] Feature information relating to one or more features associated with the spot numbers shown in Figure 3, and feature information relating to features corresponding to the attributes of the vehicle 10, is stored in the storage device 330 as part of the static information included in the HD map. Alternatively, feature information relating to one or more features associated with the spot numbers shown in Figure 3, and feature information relating to features corresponding to the attributes of the vehicle 10, may be stored in the storage device 330 as data separate from the HD map.

[0055] For example, when the spot number (146) as second-area information is obtained from the server 20, the acquisition unit 313 of the information processing device 30 mounted on the vehicle 10, which is a towing tractor, acquires feature information related to the feature corresponding to the towing tractor based on the data shown in Figure 3. More specifically, when the spot number (146) as second-area information is obtained from the server 20, the acquisition unit 313 of the information processing device 30 mounted on the vehicle 10, which is a towing tractor, acquires the TT vehicle waiting area 110 (towing vehicle waiting area T shown in Figure 1) associated with the spot number (146) as feature information based on the information indicating the towing tractor itself and the data shown in Figure 3.

[0056] The identification unit 314 may, based on the feature information acquired by the acquisition unit 313 and map data relating to a predetermined area (a predetermined area on which the vehicle 10 travels and which does not have traffic rules), identify the location of a feature indicated by the feature information in the map data that corresponds to the attributes of the vehicle 10.

[0057] The identification unit 314 identifies the location of the towing vehicle waiting area T in the map data, for example, based on map data (e.g., HD map) relating to the towing vehicle waiting area T and the first region as feature information acquired by the acquisition unit 313.

[0058] Through the above process, the information processing device 30 can set a route to the feature according to the attributes of the vehicle 10 based on the spot number obtained from the server 20. As a result, even when multiple vehicles with different attributes (e.g., equipment transport vehicles, passenger transport vehicles, fuel transport vehicles, food transport vehicles, and cargo transport vehicles, etc.) travel through a predetermined area without traffic rules (e.g., an area where aircraft travel), by storing the data shown in Figure 3 as common data in the information processing devices installed in these vehicles, it becomes unnecessary to store feature information related only to the features corresponding to the attributes of that vehicle as dedicated data (e.g., data in which the spot number and feature information are associated in a one-to-one relationship) for each vehicle. This eliminates the need to select a vehicle when updating the data stored in the storage device of the information processing device installed in the vehicle, making it possible to send the data update software shown in Figure 3 to all vehicles at once.

[0059] As described above, the vehicle 10 may include a ground support vehicle that travels in the first area where the aircraft is moving. Based on the spot number obtained from the server 20, the ground support vehicle sets a route from its current location to a feature corresponding to the attributes of the ground support vehicle through processing by the acquisition unit 313, the identification unit 314, and the setting unit 315.

[0060] For example, if the ground support vehicle is an equipment transport vehicle, a route is set from the current location to the equipment waiting area at a designated spot (the spot corresponding to the acquired spot number). For example, if the ground support vehicle is a towing tractor, a route is set from the current location to the towing vehicle waiting area at a designated spot (the spot corresponding to the acquired spot number). For example, if the ground support vehicle is a passenger transport vehicle, a route is set from the current location to the passenger boarding area at a designated spot (the spot corresponding to the acquired spot number).

[0061] As a result, the information processing device 30 installed in the ground support vehicle can set the route of the ground support vehicle based on the spot number obtained from the server 20. Consequently, the ground support vehicle can be moved appropriately at the airport, enabling smooth airport operations.

[0062] Returning to Figure 2, the vehicle control unit 316 controls the movement of the vehicle 10 so that it moves to the location identified by the identification unit 314, based on the route set by the setting unit 315. As described above, the setting unit 315 may, for example, set the shortest possible route for the vehicle 10 from its current location to the location identified by the identification unit 314, based on an HD map.

[0063] For example, if vehicle 10 is an autonomous vehicle, the vehicle control unit 316 controls vehicle 10 to autonomously travel along a route set by the setting unit 315. Alternatively, if vehicle 10 is a vehicle driven by a human, the vehicle control unit 316 may give the driver driving instructions based on the route. These driving instructions may be output to an output device mounted on vehicle 10. The driver of vehicle 10 drives vehicle 10 to travel along the set route, for example, by following the driving instructions displayed on a monitor acting as an output device. Or, the driver of vehicle 10 drives vehicle 10 to travel along the set route, for example, by following the driving instructions voice-output to a speaker acting as an output device. As a result, vehicle 10 becomes capable of moving appropriately in areas without traffic regulations.

[0064] <Operation> Next, the operation according to the embodiment will be described. Figure 4 is a sequence diagram showing an example of information processing according to this embodiment. The sequence diagram shown in Figure 4 is an example in which a travel path for the vehicle 10 is set based on second-region information, and the travel control of the vehicle 10 is performed based on said travel path.

[0065] In step S11, the information processing device 20 transmits second area information to the information processing device 30. The second area information is acquired by the acquisition unit 313 of the information processing device 30.

[0066] In step S12, the acquisition unit 313 of the information processing device 30 acquires feature information associated with the second area information. The acquisition unit 313 acquires feature information, for example, from the storage device 330 of the information processing device 30.

[0067] In step S13, the identification unit 314 of the information processing device 30 identifies the location of the feature indicated by the feature information in the map data based on the feature information acquired by the acquisition unit 313 and map data (e.g., HD map) relating to the first region.

[0068] In step S14, the setting unit 315 of the information processing device 30 sets the route for the vehicle 10 based on the location identified by the identification unit 314 and the current location of the vehicle 10.

[0069] In step S15, the vehicle control unit 316 of the information processing device 30 controls the movement of the vehicle 10 so that the vehicle 10 moves to the position identified by the identification unit 314, based on the route set by the setting unit 315.

[0070] <Variation> The above embodiments are illustrative examples for explaining the disclosed technology and are not intended to limit the disclosed technology to these embodiments only. Furthermore, the disclosed technology can be modified in various ways without departing from its essence. Moreover, those skilled in the art can adopt embodiments in which each of the elements described above is replaced with equivalent ones, and such embodiments are also included within the scope of the disclosed technology.

[0071] In the above embodiment, the area where aircraft move at an airport was used as an example of a designated area without traffic regulations, but the invention is not limited to this. The disclosed technology may also be applied to an area within a port where vehicles travel, which is a designated area without traffic regulations. In this case, vehicle 10 may be a vehicle used in port operations. This makes it possible to move vehicles appropriately within the port and to carry out port operations smoothly.

[0072] In the above embodiment, the information processing device 30 was described as controlling the driving of a vehicle 10 equipped with the information processing device 30, but the embodiment is not limited to this. The driving control of the vehicle 10 may also be performed by a server 20. For example, the server 20 may have the functions of the acquisition unit 313, identification unit 314, setting unit 315, and vehicle control unit 316 of the information processing device 30 in the above embodiment.

[0073] The server 20 may receive driving mode information (for example, autonomous driving mode or manual driving mode) from the vehicle 10. Based on the driving mode information, the server 20 may perform driving control on the vehicle 10.

[0074] For example, if the server 20 receives driving mode information related to the autonomous driving mode from the autonomously driving vehicle 10, the server 20 transmits driving instruction information related to the instruction to autonomously drive along the route set by the setting unit 315 to the vehicle 10 via the network N.

[0075] Furthermore, if the server 20 receives driving mode information related to manual driving mode from a vehicle 10 driven by a person, the server 20 may instruct the driver to drive along a set route. As such instruction, the route may be output to an output device installed in the vehicle 10. The driver of the vehicle 10 drives the vehicle 10 to travel along the route, for example, according to the route displayed on a monitor acting as an output device. The driver of the vehicle 10 drives the vehicle 10 to travel along the route, for example, according to the route voice-output to a speaker acting as an output device. Through the above processes, the server 20 can control the movement of the vehicle 10. As a result, it becomes possible to move the vehicle 10 appropriately in a predetermined area without traffic regulations.

[0076] Furthermore, although the above embodiment described the use of an HD map as an example of map data, the map data is not limited to an HD map. For example, an SD (Small Displacement) map may be used for a predetermined area without traffic rules. S standard D The technology disclosed can also be applied to the (efinition) map, as with the embodiments described above. [Explanation of symbols]

[0077] 1…Information processing system, 10…Vehicle, 20…Information processing device, 30…Information processing device, 310…Processor, 312…Information processing unit, 313…Acquisition unit, 314…Identification unit, 315…Setting unit, 316…Vehicle control unit, 320…Network communication interface, 330…Storage device, 340…User interface, 350…Communication bus, E…Equipment waiting area, N…Network, P…Passenger boarding area, S…Spot, SN…Spot number, T…Towing vehicle waiting area

Claims

1. An information processing method performed by an information processing device, To acquire feature information regarding features located at a predetermined location within a predetermined area where a vehicle travels and where there are no traffic regulations, Based on the feature information and the map data relating to the predetermined area, the location of the feature indicated by the feature information in the map data is identified. Based on the identified location and the vehicle's current location, the vehicle's route is set. An information processing method that performs the following.

2. The predetermined area includes a first area on which the aircraft moves. To obtain the above means, To acquire second area information relating to the second area including the parking position of the aircraft within the first area, The information processing method according to claim 1, comprising acquiring the feature information associated with the second region information.

3. The acquisition described above includes acquiring feature information relating to features corresponding to the vehicle's attributes, which is associated with the second region information. The information processing method according to claim 2, wherein the identification includes identifying the location of a feature indicated by the feature information in the map data, according to the attribute, based on the feature information and map data relating to the predetermined area.

4. The information processing method according to claim 2, wherein the vehicle includes a ground support vehicle that travels in a first area on which an aircraft is moving.

5. The aforementioned information processing device The information processing method according to claim 1, further comprising controlling the movement of the vehicle so that the vehicle moves to the specified location based on the set route.

6. The information processing method according to claim 1, wherein the predetermined area includes the area in the port where the vehicle travels.

7. In an information processing device, To acquire feature information regarding features located at a predetermined location within a predetermined area where a vehicle travels and where there are no traffic regulations, Based on the feature information and the map data relating to the predetermined area, the location of the feature indicated by the feature information in the map data is identified. Based on the identified location and the vehicle's current location, the vehicle's route is set. A program that executes the command.

8. An information processing device including a processor, The aforementioned processor, To acquire feature information regarding features located at a predetermined location within a predetermined area where a vehicle travels and where there are no traffic regulations, Based on the feature information and the map data relating to the predetermined area, the location of the feature indicated by the feature information in the map data is identified. Based on the identified location and the vehicle's current location, the vehicle's route is set. An information processing device that performs the following actions.

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