Abstract: A control system includes a moving object, an acquisition unit, and a control unit. The moving object is mounted with a component whose open-close state is changeable. The component separates an inside and an outside of the moving object in a close state. The acquisition unit acquires step information indicating a production step to be executed to the moving object. The control unit controls the open-close state of the component in such a manner that the open-close state of the component becomes the close state in a specific production step when the production step identified by the step information includes the specific production step. The specific production step is a production step in which the moving object has a possibility to contact water.

Abstract: The present disclosure provides a system for supporting a movement of a moving body in a predetermined area. The system acquires an image captured by an infrastructure camera such that the image includes a plurality of markers arranged in the predetermined area. The system compares the image acquired this time and the image acquired previous time. The system detects a position change marker among the plurality of markers whose position in the image acquired previous time changes from that in the image acquired this time. The system determines that the infrastructure camera is out of position when it is detected that number of the position change marker is equal to or more than a predetermined number. The system determines that the infrastructure camera is not out of position when it is detected that number of the position change marker is less than the predetermined number.

Abstract: A vehicle location recognition system obtains vehicle model information of a target vehicle and a predicted location of a target vehicle in a parking space. The vehicle location recognition system also retrieves from a database a reflection possibility area on the vehicle body of the target vehicle identified by the vehicle line information and the predicted location. Furthermore, the vehicle location recognition system assimilates the reflection possibility area on the vehicle body of the target vehicle to the surrounding area surrounding the potentially reflective area in an image input from a camera. Furthermore, the vehicle location recognition system identifies the vehicle location of the target vehicle by image recognition on an image in which the reflection possibility area is assimilated into the surrounding area. Furthermore, the vehicle location recognition system updates the predicted location based on the vehicle location of the target vehicle identified by image recognition.

Abstract: A vehicle manufacturing system according to this embodiment is a vehicle manufacturing system for performing control in such a way that a plurality of vehicles forming a platoon travel during a manufacturing process or a transporting process, the vehicle manufacturing system including: a vibration sensor that is provided in a vehicle and detects vibration that the vehicle receives; a comparison unit configured to compare a vibration pattern of the vibration detected by the vibration sensor with a reference pattern set in advance; and a control unit configured to control traveling of the vehicle based on a result of the comparison.

Abstract: A vehicle manufacturing system according to this embodiment is a vehicle manufacturing system for performing control in such a way that a plurality of vehicles forming a platoon travel during a manufacturing process or a transporting process, the vehicle manufacturing system including: a camera configured to capture an image of a traveling area where the plurality of vehicles travel and an area near the traveling area; a worker detection unit configured to detect a worker based on the image captured by the camera; and a stop control unit configured to analyze a plurality of frames in the captured image and stop the vehicle when the worker detected in a previous frame is not detected in a subsequent frame.

Abstract: A vehicle manufacturing system including: a camera configured to capture an image of a traveling area where the plurality of vehicles travel and an area near the traveling area; a worker detection unit configured to detect a worker based on the image captured by the camera; an area determination unit configured to determine whether or not the worker is in a detection area corresponding to the traveling area or a non-detection area which is on each of right and left sides of the traveling area; a posture detection unit configured to detect a posture of a worker who is in the detection area by performing image processing on the image captured by the camera; and a stop control unit configured to stop the vehicle based on the posture of the worker.

Abstract: A vehicle control system according to the present disclosure is a vehicle control system configured to cause a vehicle to travel by itself to a drum tester and control an operation of the vehicle on the drum tester. The vehicle control system includes detection means for detecting arrival of a target vehicle at the drum tester and a controller configured to cause the target vehicle to travel by itself to the drum tester and control an operation of the target vehicle on the drum tester. When the arrival of the target vehicle at the drum tester is detected by the detection means, the controller switches a control mode for the target vehicle from a traveling control mode to a test control mode for controlling the operation of the target vehicle on the drum tester.

Abstract: A vehicle control system according to the present disclosure is a vehicle control system that causes a vehicle to self-propel to a drum tester and controls an operation of a vehicle on the drum tester. A first detection unit for detecting that the target vehicle has reached the drum tester, a second detection unit for detecting lateral movement information on the drum tester of the target vehicle, and a controller for controlling the travel to the drum tester and the operation on the drum tester of the target vehicle. After the arrival of the target vehicle to the drum tester is detected by the first detection unit, the controller controls the operation of the target vehicle on the drum tester based on the movement information detected by the second detection unit.

Abstract: A vehicle monitoring system according to the present disclosure is a vehicle monitoring system configured to estimate a position of a vehicle that travels on rollers of a drum tester from an image captured by a first camera configured to capture a first area where the drum tester is installed, the vehicle monitoring system including a first position estimation apparatus configured to estimate the position of the vehicle that travels on the rollers of the drum tester based on a position of a turned-on predetermined light of the vehicle that travels on the rollers of the drum tester specified from the image captured by the first camera.

Abstract: A vehicle control system according to the present disclosure includes: a lighting control unit configured to turn on a predetermined light attached to a vehicle configured to be movable by unmanned driving; a position estimation unit configured to estimate a position of the vehicle that travels on rollers of a drum tester based on a position of a turned-on predetermined light of the vehicle that travels on the rollers of the drum tester specified from an image captured by a camera configured to capture an image of a test area where the drum tester is installed; and a traveling control unit configured to control the traveling of the vehicle based on a result of the estimation by the position estimation unit.

Abstract: A vehicle control device according to the present disclosure is a vehicle control device that controls an operation of a vehicle traveling in a convoy, and includes a control information acquisition unit, an emergency information acquisition unit, and a travel control unit. The control information acquisition unit acquires control information related to the operation control of the vehicle from the server. The emergency information acquisition unit acquires emergency information, which is information for notifying an emergency situation, from another vehicle traveling in a convoy. When the emergency information acquisition unit has not acquired the emergency information, the travel control unit controls the operation of the vehicle based on the control information, and when the emergency information acquisition unit has acquired the emergency information, the travel control unit controls the operation of the vehicle so as to execute the emergency operation.

Abstract: A system comprises: a bump/dip portion that is at least one of a bump configured to project freely from a track on which a vehicle is to run and a dip configured to be depressed freely from the track, the bump/dip portion being configured to allow the vehicle to get thereover, and a bump/dip controller that controls a height difference between the bump/dip portion and the track by operating the bump/dip portion.

Abstract: A vehicle according to the present disclosure includes a first riding space and a second riding space, each of which is a riding position on one side and the other side of a right side and a left side with respect to a front-rear direction, respectively, and is configured to: acquire a traveling route; identify a side where a landscape viewed from the vehicle is good from among the right side and the left side with respect to a traveling direction; identify a preferential space in which a degree of preferential treatment of a passenger riding in the first riding space or the second riding space is high; and determine the forward direction and the backward direction when the vehicle travels on the traveling route such that the preferential space is set to the side where the landscape viewed from the vehicle is good.

Abstract: A vehicle management system manages a vehicle in a predetermined area. The vehicle management system has a machine learning model for estimating a position of a vehicle shown in an image. The vehicle management system acquires a target-specialized parameter from a parameter providing apparatus, the target-specialized parameter being a parameter of the machine learning model trained with a focus on a category of a target vehicle. The vehicle management system apples the target-specialized parameter to the machine learning model to acquire a target-specialized machine learning model specialized in the category of the target vehicle. The vehicle management system acquires an image captured by a camera installed in the predetermined area and showing the target vehicle. The vehicle management system estimates a position of the target vehicle based on the image and the target-specialized machine learning model.

Abstract: A target recognition system recognizes a target shown in an image captured by an infrastructure camera. The target recognition system detects a first target shown in the image as a temporary target. When a class of the temporary target is a movable target, the target recognition system applies a tracking process to the temporary target and determines that the first target is a real movable target based on a result of detection of the temporary target in a first period. When the class of the temporary target is a stationary target, the target recognition system determines that the first target is a real stationary target based on a result of detection of the temporary target in a second period without applying the tracking process to the temporary target.

Abstract: A travel management system manages travel of a vehicle in a predetermined area. The travel management system, with respect to a passage of the vehicle in the predetermined area, manage a traffic route defining a traveling position of the vehicle. And the travel management system detects an object in the predetermined area using a recognition sensor and execute a process of calculating a vehicle speed profile based on a positional relationship between the detected object and the traffic route. The vehicle speed profile provides a vehicle speed condition to be followed by the vehicle at each position on the traffic route. When managing travel of a target vehicle, the travel management system transmits the traveling position and the vehicle speed profile of a traveling section in which the target vehicle travels on the traffic route to a control system of the target vehicle.

Abstract: In a recognition processing of a vehicle included in a camera image acquired by a camera installed in a closed space, the vehicle recognition system determines whether a shutter provided at an entrance/exit for a vehicle in the closed space is opened or not based on opening/closing information on the shutter. Then, the vehicle recognition system determines whether or not an outside illuminance is higher than an inside illuminance based on information on the outside illuminance and information on the inside illuminance. Furthermore, the vehicle recognition system performs brightness correction processing for correcting brightness of the camera image when it is determined that the shutter is opened and the outside illuminance is higher than the inside illuminance.

Abstract: A method comprises: acquiring a moving route of a moving object; generating a superimposed image by superimposing an image or three-dimensional data representing the moving object and an image or three-dimensional data representing an environment related to moving including the moving route on each other; acquiring a label information about the location and position of the moving object; and generating a learning data set including the superimposed image and the label information.

Abstract: A vehicle identification method for identifying a target vehicle includes the following first to sixth steps. The first step is, in a management system, generating information indicating a second action from information indicating a first action using a first key. The second step is transmitting the information indicating the second action from the management system to the target vehicle. The third step is, in the target vehicle, restoring the information indicating the first action from the information indicating the second action using a second key. The fourth step is causing the target vehicle to perform the first action. The fifth step is, in the management system, detecting an action performed by a vehicle. The sixth step is, in the management system, identifying the vehicle performing the first action as the target vehicle and not identifying the vehicle performing the second action as the target vehicle.

Abstract: The present disclosure provides a vehicle control system for controlling a vehicle. The vehicle control system comprises processing circuitry. The processing circuitry is configured to acquire a video captured by a common camera, calculate a first vehicle position that is a position of the vehicle from the video based on a first position estimation algorithm, calculate a second vehicle position that is a position of the vehicle from the video based on a second position estimation algorithm, and decelerate or stop the vehicle according to a deviation state in which a position difference between the first vehicle position and the second vehicle position exceeds an allowable error.