Information collection system and information collection method

Abstract

This information collection system comprises: a vehicle detection unit that acquires non-vehicle-related information which does not include vehicle travel information, and that detects a vehicle on the basis of the non-vehicle-related information; and a missing-vehicle detection unit that determines whether the vehicle detected by the vehicle detection unit is a vehicle for which vehicle-related information including the vehicle travel information has not been obtained, and, if the vehicle is a vehicle for which the vehicle-related information has not been obtained, transmits information regarding the vehicle detected by the vehicle detection unit to another device.

Description

Information Collection System and Information Collection Method

[0001] The present invention relates to an information collection system and an information collection method.

[0002] Technical proposals have been made to prevent accidents by acquiring driving information of each vehicle through communication from connected cars (vehicles equipped with a mechanism for exchanging information via a network). For example, it has been proposed to use digital twins to provide information aimed at ensuring safety and issue instructions to autonomous vehicles. However, not all vehicles on the road are immediately replaced by so-called connected cars. Figure 8 is a diagram outlining such issues.

[0003] As a specific example, Figure 8 shows four four-wheeled vehicles driving in a single file. Among these vehicles, the 1st, 2nd, and 4th vehicles counting from the head are connected cars. On the other hand, the 3rd vehicle counting from the head is a non-connected car. When collecting information on each vehicle in such a situation, although information can be obtained from connected cars, no information can be obtained from non-connected cars. In this case, it is expected that information about non-connected vehicles among passing vehicles will be missing on the digital twin. To address such a problem, the technology disclosed in Non-Patent Document 1 attempts to solve the problem by using roadside sensor information.

[0004] "Realization of Safe and Secure Traffic through Information Cooperation between Vehicles and Traffic Infrastructure", [online], [Retrieved March 17, Reiwa 7], Internet <URL: https: / / www.softbank.jp / corp / technology / research / story-event / 054 / >

[0005] However, in conventional technologies including Non-Patent Document 1, the accuracy of information obtained about non-connected cars was not sufficiently high.

[0006] The present invention has been made in view of the above circumstances, and provides a technology that enables acquisition of vehicle information with higher accuracy.

[0007] One aspect of the present invention is an information collection system comprising: a vehicle detection unit that acquires non-vehicle-related information that does not include vehicle driving information and detects a vehicle based on the non-vehicle-related information; and a missing vehicle detection unit that determines whether the vehicle detected by the vehicle detection unit is a vehicle for which vehicle-related information including vehicle driving information has not been obtained, and if it is a vehicle for which vehicle-related information has not been obtained, transmits information about the vehicle detected by the vehicle detection unit to another device.

[0008] One aspect of the present invention is an information gathering method comprising: a vehicle detection step in which a computer acquires non-vehicle-related information that does not include vehicle driving information and detects a vehicle based on the non-vehicle-related information; and a missing vehicle detection step in which the computer determines whether the vehicle detected in the vehicle detection step is a vehicle for which vehicle-related information including vehicle driving information has not been obtained, and if it is a vehicle for which vehicle-related information has not been obtained, transmits information about the vehicle detected by the vehicle detection unit to another device.

[0009] This invention makes it possible to acquire vehicle information with higher accuracy.

[0010] This is a schematic block diagram showing the configuration of a vehicle environment including the information collection system 100 of the first embodiment of the present invention. This is a schematic block diagram showing a specific example of the functional configuration of the vehicle information supplementary device 40 of the first embodiment. This is a functional block diagram showing an example of a functional configuration including the information collection system 100 of the first embodiment. This is a schematic block diagram showing the configuration of a vehicle environment including the information collection system 100 of the second embodiment of the present invention. This is a schematic block diagram showing a specific example of the functional configuration of the vehicle information supplementary device 40 of the second embodiment. This is a functional block diagram showing an example of a functional configuration including the information collection system 100 of the second embodiment. This is a diagram showing a schematic of an example of the hardware configuration of the information processing device 90 applied to this embodiment. This is a diagram showing a schematic of the problem.

[0011] [First Embodiment] Figure 1 is a schematic block diagram showing the configuration of a vehicle environment including the information collection system 100 of the first embodiment of the present invention. In Figure 1, the vehicle includes a first vehicle 11 that transmits information about itself (hereinafter referred to as "vehicle-related information") to a vehicle information aggregation device 30 via a network 70, and a second vehicle 12 that does not transmit information about itself (vehicle-related information). The first vehicle 11 is a vehicle including a so-called connected car, and is a vehicle that has a mechanism for exchanging information via a network. The second vehicle 12 includes vehicles that do not have a communication function, or vehicles that have a communication function but are unable to operate the communication function. In this embodiment, the vehicle can be any device that can move on the ground by driving force. For example, the vehicle includes automobiles such as four-wheeled automobiles and trucks, and devices that move by rotating wheels with driving force, such as motorcycles.

[0012] Vehicle-related information includes information defined to be transmitted by so-called connected cars (e.g., probe information and location information). Probe information is driving information, such as information about the vehicle's movement. Vehicle-related information is used in the traffic information management system 50. Vehicle-related information may include, for example, the following information:

[0013] • Vehicle information (vehicle type, body color, vehicle grade, license plate number, VIN number, etc.) • Location information (latitude, longitude, etc.) • Speed ​​information (speed in kilometers per hour, etc.) • Acceleration information (acceleration value, direction, etc.) • Brake information (strength parameter, etc.) • Accelerator information (strength parameter, etc.) • Steering wheel information (angle, etc.) • Turn signal / hazard light information (ON / OFF, etc.) • Start / stop information (ON / OFF, etc.)

[0014] The information gathering system 100 includes a first vehicle 11, a non-vehicle related information acquisition device 20, a vehicle information aggregation device 30, and a vehicle information supplementary device 40. The first vehicle 11, the non-vehicle related information acquisition device 20, the vehicle information aggregation device 30, and the vehicle information supplementary device 40 communicate with each other via a network 70. The information gathering system 100 acquires information about the first vehicle 11 and the second vehicle 12. The information gathering system 100 provides the acquired information to the traffic information management system 50.

[0015] Network 70 may be a wireless communication network or a wired communication network. Network 70 may be configured using, for example, the Internet or a local area network (LAN). Network 70 may be configured by combining multiple networks. For example, network 70 may be constructed by combining a network connecting roadside units, a mobile communication network, a network connecting satellite equipment and ground stations, and a network using optical communication.

[0016] The traffic information management system 50 is configured using one or more information processing devices. The traffic information management system 50 may function, for example, as a so-called traffic information digital twin. The traffic information management system 50 processes information acquired by the information collection system 100.

[0017] Next, each device included in the information collection system 100 will be described. The non-vehicle related information acquisition device 20 acquires information different from vehicle related information (hereinafter referred to as "non-vehicle related information"). The non-vehicle related information acquisition device 20 transmits the acquired non-vehicle related information to the vehicle information supplementation device 40. The non-vehicle related information may be, for example, image data obtained by imaging a predetermined area where a vehicle is traveling (for example, an area such as a road or a parking lot), or it may be the detection result of a sensor that detects a vehicle in the predetermined area.

[0018] The non-vehicle related information acquisition device 20 transmits the acquired non-vehicle related information, the date and time the information was acquired, and information indicating the location where the information was acquired, in association with each other. For example, when the non-vehicle related information acquisition device 20 transmits image data, it may also transmit shooting parameter information such as camera position information (e.g., viewpoint position), camera line of sight direction, and field of view. By transmitting such information along with the image data, it becomes possible to determine the real-world location of objects captured in the image. For example, when the non-vehicle related information acquisition device 20 transmits the detection result of a sensor, it may also transmit location information indicating the detection area of ​​the sensor. By transmitting such information along with the sensor detection result, it becomes possible to determine the real-world location of the vehicle detected by the sensor.

[0019] The non-vehicle related information acquisition device 20 may be configured using any device. Specific examples of the non-vehicle related information acquisition device 20 include a surveillance camera 21, an aerial camera 22, a vehicle detection sensor 23, and an in-vehicle camera 24.

[0020] The surveillance camera 21 is a camera that includes a predetermined area where vehicles travel, such as a roadside camera. The surveillance camera 21 transmits image data via the network 70 using pre-installed communication equipment. The aerial camera 22 is a camera mounted on a device flying in the air (such as an artificial satellite or drone) that takes images of the ground. The aerial camera 22 transmits image data by communicating with a ground station using pre-installed wireless communication equipment.

[0021] The vehicle detection sensor 23 is, for example, a sensor installed as a roadside unit. The vehicle detection sensor 23 detects vehicles traveling within the detection area by means other than a camera. The vehicle detection sensor 23 transmits the detected information (for example, the time of the vehicle's passage, its speed, its direction of passage, etc.) via the network 70 using pre-installed communication equipment.

[0022] The on-board camera 24 is an on-board camera installed in the first vehicle 11. The on-board camera 24 captures images of the area around the vehicle on which it is mounted (for example, the front and rear of the vehicle) and transmits the captured images. Since the on-board camera 24 is a specific example of the non-vehicle-related information acquisition device 20, it is shown within the frame for the non-vehicle-related information acquisition device 20 in Figure 1. However, the on-board camera 24 is physically mounted in the first vehicle 11.

[0023] The vehicle information aggregation device 30 is configured using an information processing device such as a server. The vehicle information aggregation device 30 receives vehicle-related information transmitted from the first vehicle 11 via the network. Based on the received vehicle-related information, the vehicle information aggregation device 30 determines the location information for each first vehicle 11 at a predetermined time. The vehicle information aggregation device 30 generates first vehicle location information including the time and location information of each first vehicle 11 and transmits it to the vehicle information supplementary device 40. The first vehicle location information may further include vehicle information for each first vehicle 11.

[0024] Figure 2 is a schematic block diagram showing a specific example of the functional configuration of the vehicle information supplementary device 40 of the first embodiment. The vehicle information supplementary device 40 is configured using information processing equipment such as a personal computer or a server device. The vehicle information supplementary device 40 includes a communication unit 41, a storage unit 42, and a control unit 43.

[0025] The communication unit 41 is a communication device. The communication unit 41 may be configured, for example, as a network interface. The communication unit 41 communicates data with other devices via the network 70 in accordance with the control of the control unit 43. The communication unit 41 may be a wireless communication device or a wired communication device.

[0026] The storage unit 42 is configured using a storage device such as a magnetic hard disk drive or a semiconductor storage device. The storage unit 42 stores data used by the control unit 43. The storage unit 42 may also function as, for example, a non-vehicle related information storage unit 421 and a first vehicle position information storage unit 422.

[0027] The non-vehicle related information storage unit 421 stores non-vehicle related information transmitted from the non-vehicle related information acquisition device 20. The non-vehicle related information storage unit 421 stores, for example, the non-vehicle related information in association with the date and time when the non-vehicle related information was acquired. The non-vehicle related information storage unit 421 may also store information such as the location and shooting parameters where the non-vehicle related information was acquired in association with it.

[0028] The first vehicle position information storage unit 422 stores the first vehicle position information transmitted by the vehicle information aggregation device 30.

[0029] The control unit 43 is composed of a processor such as a CPU (Central Processing Unit) and memory (main memory). The control unit 43 functions as an information control unit 431, a vehicle detection unit 432, and a missing vehicle detection unit 433 when the processor executes a program. Note that all or part of the functions of the control unit 43 may be implemented using hardware such as an ASIC (Application Specific Integrated Circuit), a PLD (Programmable Logic Device), or an FPGA (Field Programmable Gate Array). The above program may be recorded on a computer-readable recording medium. Computer-readable recording media include, for example, portable media such as flexible disks, magneto-optical disks, ROMs, CD-ROMs, and semiconductor memory devices (e.g., SSDs: Solid State Drives), as well as storage devices such as hard disks and semiconductor memory devices built into computer systems. The above program may be transmitted via a telecommunications line.

[0030] The information control unit 431 controls the input and output of information to the vehicle information supplementary device 40. The information control unit 431 receives information from other devices (e.g., non-vehicle related information acquisition device 20, vehicle information aggregation device 30, etc.) via the network 70 and records the received information in the storage unit 42. For example, the information control unit 431 receives non-vehicle related information from the non-vehicle related information acquisition device 20 and records it in the non-vehicle related information storage unit 421 in association with date and time, location information, etc. For example, the information control unit 431 receives first vehicle location information from the vehicle information aggregation device 30 and records the received first vehicle location information in the first vehicle location information storage unit 422. The information control unit 431 transmits the information generated by the control unit 43 to other devices (e.g., vehicle information aggregation device 30, traffic information management system 50, etc.) via the network 70.

[0031] The vehicle detection unit 432 detects vehicles indicated by non-vehicle-related information stored in the non-vehicle-related information storage unit 421, and determines the date, time, and location information for each detected vehicle. For example, the vehicle detection unit 432 detects vehicle images from image data and determines the real-world location of each vehicle based on the vehicle's position in the image and the position and shooting parameters of the camera that captured the image data. For example, the vehicle detection unit 432 determines the vehicle's location and time based on the detection result of the vehicle detection sensor 23 and its position. The vehicles that the vehicle detection unit 432 can detect are both the first vehicle 11 and the second vehicle 12. For each vehicle, the vehicle detection unit 432 may also estimate speed and direction of travel in addition to the date, time, and location information, or it may estimate information indicating the vehicle's appearance (e.g., color, size, shape, etc.). The vehicle detection unit 432 generates detection information showing the estimation results for each detected vehicle.

[0032] The missing vehicle detection unit 433 determines whether the vehicle detected by the vehicle detection unit 432 is a vehicle for which vehicle-related information has been obtained in the vehicle information aggregation device 30. If the vehicle detection unit 432 detects a vehicle for which vehicle-related information has not been obtained in the vehicle information aggregation device 30, it transmits information about the detected vehicle to the vehicle information aggregation device 30. Through this process, the location of vehicles for which vehicle-related information cannot be transmitted (such as the second vehicle 12 or the first vehicle 11 which is not powered on) can be obtained. Two specific examples of the processing of the missing vehicle detection unit 433 will be described.

[0033] In the first embodiment, the missing vehicle detection unit 433 queries the vehicle information aggregation device 30 regarding the vehicle detected by the vehicle detection unit 432. The vehicle information aggregation device 30 notifies the missing vehicle detection unit 433 of information indicating whether or not the corresponding vehicle exists. If the corresponding vehicle does not exist, the missing vehicle detection unit 433 notifies (registers) the detection information of the detected vehicle as missing vehicle information to the vehicle information aggregation device 30.

[0034] In the second embodiment, the missing vehicle detection unit 433 queries the vehicle information aggregation device 30 for vehicles that exist in the area including the location of the vehicle detected by the vehicle detection unit 432. The missing vehicle detection unit 433 determines, based on the information obtained from the vehicle information aggregation device 30, whether or not vehicle information exists at the location of the detected vehicle. If no corresponding vehicle exists, the missing vehicle detection unit 433 notifies (registers) the detection information of the detected vehicle as missing vehicle information to the vehicle information aggregation device 30.

[0035] The vehicle information aggregation device 30 receives missing vehicle information from the vehicle information supplementation device 40. The vehicle information aggregation device 30 generates supplemented vehicle information by adding the information about each vehicle contained in the missing vehicle information to the first vehicle position information. The vehicle information aggregation device 30 transmits the supplemented vehicle information to the traffic information management system 50.

[0036] The traffic information management system 50 processes information based on the supplemented vehicle information. The traffic information management system 50 may use the vehicle information to display vehicles on the traffic information digital twin. The traffic information management system 50 may also use location information to determine the real-time position of each vehicle on the digital twin.

[0037] The traffic information management system 50 may perform processing using more detailed vehicle-related information obtained from the first vehicle 11. The traffic information management system 50 may use speed information, acceleration information, brake information, accelerator information, steering information, and turn signal / hazard lamp information as data to predict the movement of each first vehicle 11. More specifically, speed information, acceleration information, brake information, accelerator information, and steering information may be used to predict the next position of each first vehicle 11. Turn signal / hazard lamp information may be used together with map information to predict the next movement of each first vehicle 11. Start / stop information may be used as information to determine the start and stop of processing.

[0038] The traffic information management system 50 cannot directly obtain vehicle-related information from some vehicles, such as the second vehicle 12, but as described above, it can obtain missing vehicle information obtained by the vehicle information supplementary device 40. Therefore, the traffic information management system 50 may determine the position of each vehicle in the traffic information digital twin based on the position information and speed information obtained as missing vehicle information.

[0039] The traffic information management system 50 may determine the possibility of an accident based, for example, on vehicle-related information of the first vehicle 11 and location information of the second vehicle 12. Depending on the determination result, the traffic information management system 50 may instruct information-outputting devices to perform actions to prevent the accident. Specifically, the traffic information management system 50 may transmit warning information to the first vehicle 11 involved in the accident, or it may instruct outputting devices (such as electronic display boards) installed near the first vehicle 11 or the second vehicle 12 involved in the accident to output warning information.

[0040] Figure 3 is a functional block diagram showing an example of a functional configuration including the information collection system 100 of the first embodiment. Non-vehicle related information acquisition devices 20, such as surveillance cameras 21, aerial cameras 22, vehicle detection sensors 23, and in-vehicle cameras 24, acquire non-vehicle related information. The vehicle detection unit 432 uses the acquired non-vehicle related information to detect vehicles and generates detection information.

[0041] Meanwhile, vehicle-related information, including probe information, is transmitted from the first vehicle 11 to the vehicle information aggregation device 30. The vehicle information aggregation device 30 generates first vehicle location information based on the vehicle-related information aggregated from the first vehicle 11 and transmits it to the vehicle information supplementation device 40. The missing vehicle detection unit 433 of the vehicle information supplementation device 40 detects vehicles not included in the first vehicle location information (missing vehicles) based on the first vehicle location information and detection information, and generates missing vehicle information, including the location information of the missing vehicles. The vehicle information aggregation device 30 generates supplemented vehicle information by adding the information of the missing vehicles indicated by the missing vehicle information to the first vehicle location information. The vehicle information aggregation device 30 transmits the supplemented vehicle information to the traffic information management system 50. The traffic information management system 50 processes the information using the supplemented vehicle information.

[0042] With this configuration, it is possible to acquire not only the location of the first vehicle 11 that transmits vehicle-related information such as probe information, but also information including the locations of vehicles that cannot transmit vehicle-related information (such as the second vehicle 12) (supplemented vehicle information). Therefore, it becomes possible to acquire vehicle information with higher accuracy. Furthermore, by processing this information with the traffic information management system 50, it becomes possible to perform more accurate predictions and other processing.

[0043] [Second Embodiment] Fig. 4 is a schematic block diagram showing the configuration of a vehicle environment including an information collection system 100 according to a second embodiment of the present invention. In the information collection system 100 of the second embodiment, moving objects that are not included in the vehicles according to the first embodiment are also detected using non-vehicle-related information to acquire position information. Moving objects include, for example, people and bicycles. In addition, mobility including people such as electric kick scooters, wheelchairs, and senior cars may also be included in the moving objects. In addition, unmanned mobile devices such as autonomous traveling robots may also be included in the moving objects. Hereinafter, the information collection system 100 according to the second embodiment will be described focusing on points that differ from the first embodiment.

[0044] In the second embodiment, a user terminal 25 is included as a specific example of the non-vehicle-related information acquisition device 20. The user terminal 25 is an information device carried by a person and has a communication function. The user terminal 25 may be configured using devices such as a mobile phone, a smartphone, a tablet device, and a wearable device, for example. The user terminal 25 acquires position information of the own device (user terminal 25) at a predetermined timing. The acquisition of position information may be performed, for example, by communication with a satellite positioning system or a base station of a mobile phone network. Specific examples of satellite positioning systems include GPS (Global Positioning System) and Galileo. The user terminal 25 transmits the acquired position information as non-vehicle-related information to the vehicle information complementing device 40.

[0045] Fig. 5 is a schematic block diagram showing a specific example of the functional configuration of the vehicle information complementing device 40 according to the second embodiment. Fig. 6 is a functional block diagram showing an example of the functional configuration including the information collection system 100 according to the second embodiment. The vehicle information complementing device 40 according to the second embodiment differs from the first embodiment in that a control unit 43 also functions as a moving object detection unit 434, and other configurations are the same as those of the first embodiment.

[0046] The moving object detection unit 434 detects a moving object based on non-vehicle-related information stored in the non-vehicle-related information storage unit 421, and determines date / time and position information for each detected moving object. For example, the moving object detection unit 434 detects an image of a moving object from image data, and determines the position of each moving object in the real world based on the position of the moving object in the image and the position and imaging parameters of the camera that captured the image data. For example, the moving object detection unit 434 determines the position and time of the moving object based on position information acquired by the user terminal 25. The moving object detection unit 434 generates moving object detection information indicating an estimation result for each detected moving object, and transmits the generated information to the traffic information management system 50. The moving object detection unit 434 may further determine the moving speed and moving direction of the moving object. In this case, the moving object detection information may further include these pieces of information.

[0047] The traffic information management system 50 according to the second embodiment performs processing by further using position information of moving objects. For example, by determining the positions of pedestrians and bicycles, the traffic information management system 50 may estimate in advance the possibility of an accident involving a vehicle colliding with a pedestrian or a bicycle and take preventive measures. As a specific example of preventive measures, there is an example of performing output as described in the first embodiment.

[0048] FIG. 7 is a diagram schematically illustrating an example of the hardware configuration of an information processing apparatus 90 applied to the present embodiment. The information processing apparatus 90 includes a processor 91, a main storage device 92, a communication interface 93, an auxiliary storage device 94, an input / output interface 95, and an internal bus 96. The processor 91, main storage device 92, communication interface 93, auxiliary storage device 94, and input / output interface 95 are communicatively connected to each other via the internal bus 96. The information processing apparatus 90 may be applied to, for example, the vehicle information complementing apparatus 40. In this case, for example, the communication unit 41 may be configured using the communication interface 93. For example, the storage unit 42 may be configured using the auxiliary storage device 94. Further, the control unit 43 may be configured using the processor 91 and the main storage device 92.

[0049] With the information collection system 100 configured in the first and second embodiments as described above, it becomes possible to acquire location information for the second vehicle 12 as well. Furthermore, with the information collection system 100 in the second embodiment, it becomes possible to acquire location information for moving objects as well. In this way, as the amount of data usable in the traffic information management system 50, such as a traffic information digital twin, becomes more comprehensive, the accuracy of feedback on the surrounding conditions to the vehicle in motion will improve, and safety can be expected to be enhanced through autonomous driving and driver assistance.

[0050] (Variation) In the first embodiment, the motorcycle does not have to be included in the vehicle. In this case, the motorcycle may be included in the mobile body in the second embodiment.

[0051] In this embodiment, the vehicle information aggregation device 30 and the vehicle information supplementary device 40 are configured as separate devices, but they may be configured as an integrated device. Furthermore, some components of the vehicle information supplementary device 40 may be implemented in the vehicle information aggregation device 30. For example, the missing vehicle detection unit 433 may be implemented in the vehicle information aggregation device 30. In this case, the vehicle information supplementary device 40 transmits the detection results of the vehicle detection unit 432 to the vehicle information aggregation device 30. Alternatively, the vehicle information supplementary device 40 may transmit the missing vehicle information to the traffic information management system 50 instead of the vehicle information aggregation device 30. In this case, the vehicle information aggregation device 30 transmits the vehicle information obtained from the first vehicle 11 to the traffic information management system 50, and the traffic information management system 50 may perform supplementation using the missing vehicle information.

[0052] The vehicle information supplementary device 40 may be implemented using multiple information processing devices. For example, the vehicle information supplementary device 40 may be implemented using a device such as a cloud. For example, in the vehicle information supplementary device 40, the storage unit 42 and the control unit 43 may be implemented in different information processing devices. For example, the storage unit 42 of the vehicle information supplementary device 40 may be distributed and implemented across multiple information processing devices, or the control unit 43 of the vehicle information supplementary device 40 may be distributed and implemented across multiple information processing devices.

[0053] While embodiments of this invention have been described in detail above with reference to the drawings, the specific configuration is not limited to these embodiments and includes designs and the like that do not depart from the spirit of this invention.

[0054] 100... Information gathering system, 11... First vehicle, 12... Second vehicle, 20... Non-vehicle related information acquisition device, 21... Surveillance camera, 22... Aerial camera, 23... Vehicle detection sensor, 24... On-board camera, 25... User terminal, 30... Vehicle information aggregation device, 40... Vehicle information supplementation device, 41... Communication unit, 42... Storage unit, 421... Non-vehicle related information storage unit, 422... First vehicle location information storage unit, 43... Control unit, 431... Information control unit, 432... Vehicle detection unit, 433... Missing vehicle detection unit, 434... Moving object detection unit

Claims

1. An information collection system comprising: a vehicle detection unit that acquires non-vehicle-related information that does not include vehicle driving information and detects a vehicle based on the non-vehicle-related information; and a missing vehicle detection unit that determines whether the vehicle detected by the vehicle detection unit is a vehicle for which vehicle-related information including vehicle driving information has not been obtained, and if it is a vehicle for which vehicle-related information has not been obtained, transmits information about the vehicle detected by the vehicle detection unit to another device.

2. The information collection system according to claim 1, wherein the non-vehicle-related information is image data obtained by imaging a predetermined area in which a vehicle is traveling.

3. The information collection system according to claim 1, further comprising a moving object detection unit that acquires the non-vehicle-related information and detects moving objects that do not include vehicles.

4. An information collection method comprising: a vehicle detection step in which a computer acquires non-vehicle-related information that does not include vehicle driving information and detects a vehicle based on the non-vehicle-related information; and a missing vehicle detection step in which the computer determines whether the vehicle detected in the vehicle detection step is a vehicle for which vehicle-related information including vehicle driving information has not been obtained, and if it is a vehicle for which vehicle-related information has not been obtained, transmits information about the vehicle detected in the vehicle detection step to another device.

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