Abstract: An open vehicle includes a vehicle upper portion, a traveling device, an external sensor, and an ECU. The vehicle upper portion has a riding surface that forms a bottom surface of the riding space and is configured for a plurality of users to ride on. The ECU is configured to control the traveling device to cause the open vehicle to automatically travel. The ECU is configured to execute: a specific person recognition process to use the external sensor to recognize a specific person existing in an outside space; and an automatic travel control process to control the traveling device such that, when the specific person exists within a predetermined distance range, the traveling device executes at least one of moving the open vehicle away from the specific person and increasing a vehicle speed as compared to when the specific person does not exist within the range.

Abstract: An information processing device includes a communication unit and a control unit. The control unit is configured to determine a sprinkling mode based on information indicating the environment of a sprinkling place. The control unit is configured to send, through the communication unit, a notification indicating the sprinkling mode to at least one vehicle scheduled to travel in the sprinkling place.

Abstract: A computer includes a processor and a memory storing instructions executable by the processor to actuate movement of a vehicle at a first speed, identify a potentially available parking space in a vehicle direction of travel based on data received from at least one camera, then reduce a speed of the vehicle to a second speed that is less than the first speed while receiving data from at least one proximity sensor about the parking space, and actuate movement of the vehicle to a parking position in the parking space upon determining that the parking space is available based on the data from the at least one proximity sensor.

Abstract: An electrical method for centering telehandler rear wheels preferably includes an electronic control module (ECM), a rear steering cylinder, a pair of rear centering valves, a front steering cylinder, a steer mode valve, at least one steering position sensor, a steering control unit and a mode selection switch. The front and rear steering cylinders are connected to the steer mode valve. The steering control unit directs hydraulic fluid from a hydraulic pump to flow into the front and rear steering cylinders to turn the wheels. A 2W steering mode requires that the rear wheels be straight before going from a 4W steering mode into the 2W steering mode. The ECM monitors a position of the rear wheels through the at least one steering position sensor. If the wheels are not straight, the ECM will open a centering valve to straighten the rear wheels, before going into the 2W steering mode.

Abstract: A map generation system provides to: acquire an image of the vehicle's environment from the imaging device; analyze the image to calculate the position of a feature on the road; upload map information including the position of the feature to a server; and statistically determines the coordinates of individual features in the uploaded map information. The features include a reference mark whose absolute coordinates are determined. The coordinates of the features other than the reference mark are corrected so as to match the observation coordinates of the reference mark corresponding to the absolute coordinates of the reference mark.

Abstract: A model of a system of an intelligent vehicle is trained and optimized using system operation data of the intelligent vehicle in a normal running state. The system operation data of the intelligent vehicle in a running state is collected in real time. Sensor data of the system operation data is de-noised, and feature extraction and screening are performed for a fatal sensor fault to reconstruct the system operation data. The reconstructed system operation data is inputted into the trained model to output system state data of the intelligent vehicle in the running state. The system state data is compared with a set threshold. If the system state data exceeds the set threshold, an actuator corresponding to the system state data is determined to have a fault. In addition, a system for a fault diagnosis of the intelligent vehicle is further provided.

Abstract: A vehicle (10) includes a VP (120) that carries out vehicle control in accordance with a command from an autonomous driving system (202) and a vehicle control interface (110) that interfaces between the autonomous driving system (202) and the VP (120). A tire turning angle command that requests for a wheel steer angle is transmitted from the autonomous driving system (202) to the VP (120). A signal indicating an estimated wheel angle which is an estimated value of the wheel steer angle is transmitted from the VP (120) to the autonomous driving system (202). The VP (120) steers the vehicle in accordance with the tire turning angle command set based on a wheel estimation angle while the vehicle (10) is in a straight-ahead travel state.

Abstract: An autonomous driving system that performs a traveling of an autonomous driving vehicle based on a remote instruction by a remote commander includes: a vehicle position acquisition unit configured to acquire a position of the autonomous driving vehicle on the map; an external environment recognition unit configured to recognize an external environment of the autonomous driving vehicle; a remote instruction location situation recognition unit configured to recognize a remote instruction location situation on a target route of the autonomous driving vehicle set in advance based on the target route, the position of the autonomous driving vehicle on the map, and map information; and a remote instruction request determination unit configured to determine whether or not to request the remote commander for the remote instruction with regard to the remote instruction location situation, based on the external environment of the autonomous driving vehicle.

Abstract: A display control device has a depression acquisition part acquiring a current amount of accelerator depression; a suitable value calculation part calculating an amount of accelerator depression required for making a following distance between a preceding vehicle and an ego vehicle a predetermined target following distance, as a suitable depression amount, based on the following distance; and a display control part displaying the current amount of accelerator depression and the suitable depression amount at a display device able to be viewed by a driver. The display control part is configured so as not to change a display position of the display of the suitable depression amount, even if the following distance changes and thus the suitable depression amount changes.

Abstract: A display control device comprising: a depression acquisition part acquiring a current amount of depression of an accelerator pedal; a suitable range calculation part calculating, as a suitable depression range, a range of an amount of accelerator depression required for a following distance of a preceding vehicle and an ego vehicle to become a predetermined target following distance, based on the following distance; and a display control part displaying the current amount of depression and the suitable depression range at a display device able to be viewed by a driver.

Abstract: Techniques are described herein for providing information regarding one or more actions an autonomous vehicle management system is planning to perform. The autonomous vehicle management system can also provide information indicative of one or more reasons for a planned action. This information can be provided through a user interface that displays an indication of the action together with an indication of the reason for the action. The information provided through the user interface can improve the user's trust in the safety of the autonomous vehicle, provide the user with context for evaluating the decisions made by the autonomous vehicle management system, and allow the user to decide for himself or herself whether the actions planned by the autonomous vehicle make sense.

Abstract: Aspects of the disclosure provide for the generation of a service area map for autonomous vehicles. For instance, graph nodes of a road network may be iterated through in order to identify a set of reachable graph nodes based on a set of routing parameters that define driving limits for the autonomous vehicles. The road network may include the graph nodes as well as edges connecting ones of the graph nodes. A set of S2 cells may be identified based on the set of reachable graph nodes. Vertices of each S2 cell of the set of S2 cells may be determined based on whether each S2 cell of the set of S2 cells is occupied by any of the graph nodes of the set of reachable graph nodes. Contours through cells may be drawn based on the scores. The service area map may be generated using the contours.

Abstract: The present disclosure provides a method and an apparatus for remotely controlling a self-driving vehicle, including: a control device receives operation state information of the vehicle to be controlled transmitted by the vehicle, and video data and/or audio data of a passenger in the vehicle; determines a first abnormal parameter of the vehicle according to the operation state information of the vehicle; determines a second abnormal parameter of an emotion of the passenger in the vehicle according to the video data and/or audio data of the passenger in the vehicle; and controls the vehicle remotely according to the first abnormal parameter and the second abnormal parameter. It is possible to avoid the situation that the passenger in the vehicle performs a wrong manipulation on the vehicle due to a large emotional fluctuation in an emergency, thus making the control of the vehicle more safe and reliable in the emergency.

Abstract: Disclosed herein are a robot that generates a map and configures a correlation of nodes, based on multi sensors and artificial intelligence, and that moves based on the map, and a method of generating a map, and the robot according to an embodiment generates a pose graph comprised of LiDAR branch, visual branch, and backbone, and the LiDAR branch includes one or more of the LiDAR frames, the visual branch includes one or more of the visual frames, and the backbone includes two or more frame nodes registered with any one or more of the LiDAR frames or the visual frames, and to generate a correlation between nodes in the pose graph.

Abstract: In one embodiment, a system is disclosed for registration of point clouds for autonomous driving vehicles (ADV). The system receives a number of point clouds and corresponding poses from ADVs equipped with LIDAR sensors capturing point clouds of a navigable area to be mapped, where the point clouds correspond to a first coordinate system. The system partitions the point clouds and the corresponding poses into one or more loop partitions based on navigable loop information captured by the point clouds. For each of the loop partitions, the system applies an optimization model to point clouds corresponding to the loop partition to register the point clouds. They system merges the one or more loop partitions together using a pose graph algorithm, where the merged partitions of point clouds are utilized to perceive a driving environment surrounding the ADV.

Abstract: An information processing device to be used in a data collection system configured to collect data to be acquired during traveling of a vehicle includes a travel position setting unit, a guidance information output unit, and a data acquisition unit. The travel position setting unit is configured to set an ideal travel position for the vehicle on the basis of information of a request of a requester for collecting the data. The guidance information output unit is configured to output guidance information used to guide the vehicle on the basis of information of the ideal travel position. The data acquisition unit is configured to acquire collection data serving as the data to be collected during a period of time within which the vehicle travels in accordance with the ideal travel position.

Abstract: Disclosed herein is a mobile device including a communication section that performs communication with a controller which selectively transmits control signals to a plurality of mobile devices, and a data processing section that performs movement control of the own device. The data processing section confirms whether or not an own-device selection signal which indicates that the own device is selected as a control target device has been received from the controller and, upon confirming reception of the own-device selection signal, performs movement control to cause the own device to move in accordance with a selected-device identification track which indicates that the own device is selected as the control target device.

Abstract: Disclosed herein are a method of localization by synchronizing multi sensors and a robot implementing the same. The robot according to an embodiment includes a controller that, when a first sensor acquires first type information, generates first type odometry information using the first type information, that, at a time point when the first type odometry information is generated, acquires second type information by controlling a second sensor and then generates second type odometry information using the second type information, and that the robot by combining the first type odometry information and the second type odometry information.

Abstract: A data processing apparatus includes a communicator, an acquisition unit, and an output controller. The communicator is configured to receive request data from a server. The request data contains a content of a request for collection of traveling state data of a vehicle. The acquisition unit is configured to acquire the traveling state data of the vehicle on the basis of the request data received by the communicator. The output controller is configured to cause an output device to output an acquisition status of the traveling state data acquired by the acquiring unit.

Abstract: A control method for controlling a yaw angle ?z and a roll angle ?x of a vertical take-off aircraft comprising at least two drive groups arranged in opposite side regions of the aircraft so as to be spaced apart from a fuselage of the aircraft is presented. Each drive group comprises at least one first drive unit. The first drive unit is arranged so as to be spaced apart from the fuselage to pivot about a pivot angle ? into a horizontal flight position and a vertical flight position.