Abstract: A working vehicle includes a vehicle body to travel, a steering handle to be turned to steer the vehicle body, and a steering switch to steer the vehicle body separately from the steering handle. The steering switch may be a switch to be operated in a pressing manner or in a sliding manner to steer the vehicle body. In addition, the steering switch may be arranged around the steering handle.

Abstract: A system for use in a facility area including reservable spaces and common spaces and comprising a database storing space information, space map data and space scheduling information and including a user interface display screen mounted in a common space, a user location sensor and a processor linked to the databases and programmed to receive sensor signals and determine when a user is located within the sensing zone, the processor further programmed to generate and present a graphical facility area map representation of the facility area on the display screen and, upon detecting a user within the sensing zone, automatically identifying a destination space within the zone that the user likely intends to travel to and presenting an indication of the space on the graphical map indicating the location of the destination space within the facility.

Abstract: A system and method for interfacing an autonomous or remote control drive-by-wire controller with a vehicle's control modules. Vehicle functions including steering, braking, starting, etc. are controllable by wire via a control network. A CAN architecture is used as an interface between the remote/autonomous controller and the vehicle's control modules. A CAN module interface provides communication between a vehicle control system and a supervisory, remote, autonomous, or drive-by-wire controller. The interface permits the supervisory control to control vehicle operation within pre-determined bounds and using control algorithms.

Abstract: A system for use in a facility area including reservable spaces and common spaces and comprising a database storing space information, space map data and space scheduling information and including a user interface display screen mounted in a common space, a user location sensor and a processor linked to the databases and programmed to receive sensor signals and determine when a user is located within the sensing zone, the processor further programmed to generate and present a graphical facility area map representation of the facility area on the display screen and, upon detecting a user within the sensing zone, automatically identifying a destination space within the zone that the user likely intends to travel to and presenting an indication of the space on the graphical map indicating the location of the destination space within the facility.

Abstract: A network computing system can receive transport requests from user computing devices of requesting users of an on-demand carpool service. The system can further receive sensor data from the user computing devices of each carpool passenger of a vehicle. Based on the sensor data, the system can determine a relative position of each carpool passenger within the vehicle, and based on the relative position of each carpool passenger within the vehicle, the system can transmit route data to a transport provider device of the vehicle to rendezvous with a next carpool passenger at an upcoming pick-up location such that an open seat within the vehicle is adjacent to the next carpool passenger.

Abstract: A power and data center (PDC) can serve as a combined data concentrator and power distributor that delivers scalable and affordable network/power redundancy into an automotive electrical/electronic architecture (E/EA) that supports partially or fully autonomous vehicles. In some embodiments, a vehicle that includes the smart E/EA is divided into zones, where each zone includes one or more PDCs and one or more sensors, actuators, controllers, loudspeakers or other devices that are coupled to and powered by their zone PDC(s). Each PDC collects and processes (or passes through) raw or pre-processed sensor data from the one or more sensors in its zone. The sensors provide their data to the PDC by way of cost efficient, short-range data links. In some embodiments, one or more actuators in each zone are coupled to their respective zone PDC, and receive their control data from the PDC over a high-speed data bus or data link.

Abstract: A mobile entity includes: a position decision unit configured to determine a position of itself; an environment information acquisition unit configured to acquire environment information at the position; and a motion determination unit configured to determine whether a motion scheduled to be performed holds based on the environment information. The environment information includes at least one of environment information related to a vocal apparatus and environment information related to a display device.

Abstract: Embodiments of the present disclosure relate to a method and apparatus for controlling vehicle driving. The method includes: generating a global path of a driving site of a vehicle; executing following controlling: generating a local path of a site in front of a current position of the vehicle based on the global path, the local path following a direction of the global path, controlling the vehicle to drive along the local path until reaching an end point of the local path, determining whether the vehicle reaches an end point of the global path, and terminating the controlling if the vehicle reaches the endpoint of the global path; and continuing, in response to determining the vehicle failing to reach the end point of the global path, executing the controlling.

Abstract: The disclosure provides a system and method for autonomously routing delivery vehicles. An autonomous routing system may generate, a plurality of routing passes, each routing pass including a set of parameters, by a processor using one or more business rules that describe a set of allowed values for one or more of the parameters. The autonomous routing system may Execute each the plurality of routing passes on a routing platform configured to generate a routing plan corresponding to a single routing pass. autonomous routing system may select, by the processor, one of the plurality of routing passes according to a comparison rule set that assigns a score to each routing plan corresponding to a respective one of the plurality of routing passes. The autonomous routing system may dispatch the selected routing pass via the routing platform.

Abstract: A base module may be used to receive and house one or more unmanned aerial vehicles (UAVs) via one or more cavities. The base module receives commands from a manager device and identifies a flight plan that allows a UAV to execute the received commands. The base module transfers the flight plan to the UAV and frees the UAV. Once the UAV returns, the base module once again receives it. The base module then receives sensor data from the UAV from one or more sensors onboard the UAV, and optionally receives additional information describing its flight and identifying success or failure of the flight plan. The base module transmits the sensor data and optionally the additional information to a storage medium locally or remotely accessible by the manager device.

Abstract: A robotic motion control method provided by the present disclosure includes: obtaining a position and orientation of a starting point where the robot is currently located through a positioning sensor, and obtaining a position and orientation of a preset target point where the robot is moved to; determining an arc path and a straight path of the robot according to the position and orientation of the starting point, the position and orientation of the preset target point, and a preset arc radius; and moving the robot to the preset target point according to the determined arc path and straight path. Because there are only pure circular motion and pure linear motion which are simple during the movement of the robot, it is beneficial to improve the precision of the motion control of the robot and enable the robot to reach the target position in a reliable manner.

Abstract: A boarding-alighting position determination method determines a boarding position and an alighting position in a vehicle dispatch system that dispatches a vehicle in response to a vehicle dispatch request. A plurality of boarding position candidates and a plurality of alighting position candidates are calculated around a geographical point from which the vehicle dispatch request was transmitted. A vehicle position is detected when the vehicle dispatch request was transmitted. For each boarding position candidate, a travel route is calculated from the vehicle position at a time of the vehicle dispatch request to at least one of the alighting position candidates via the boarding position candidate. A travel time is calculated for the vehicle to travel the travel route calculated for each of the boarding position candidates. A selected boarding position is determined from among the boarding position candidates based on the traveling time for each boarding position candidate.

Abstract: Embodiments of the present disclosure relate to a method and apparatus for outputting information. The method includes: acquiring a target excavating trajectory, the target excavating trajectory including at least two sub-trajectories; determining trajectory parameters of the at least two sub-trajectories; determining, based on the trajectory parameters, positions of a plurality of control points; and outputting the positions of the plurality of control points.

Abstract: The vehicle control system includes, a path generation unit that generates a target path for parking a vehicle at a parkable target parking space in a destination area including a parking area, a travel control unit that causes the vehicle to travel so as to follow the target path, and a control device that controls the path generation unit and the travel control unit to automatically park the vehicle at the target parking space. The path generation unit includes a search path generation unit that generates a search path for searching for a target parking space as a target path based on vehicle peripheral information including an image of the periphery of the vehicle without using map data in the destination area.

Abstract: A base module may be used to receive and house one or more unmanned aerial vehicles (UAVs) via one or more cavities. The base module receives commands from a manager device and identifies a flight plan that allows a UAV to execute the received commands. The base module transfers the flight plan to the UAV and frees the UAV. Once the UAV returns, the base module once again receives it. The base module then receives sensor data from the UAV from one or more sensors onboard the UAV, and optionally receives additional information describing its flight and identifying success or failure of the flight plan. The base module transmits the sensor data and optionally the additional information to a storage medium locally or remotely accessible by the manager device.

Abstract: A method for the operation of an autonomous industrial truck that can move independently in an operating environment as well as an intralogistics system with at least one autonomous truck with a vehicle control device that can move independently in an operating environment. Information on the path of movement of the industrial truck is transmitted to at least one signaling unit located outside the industrial truck, in which signaling unit signals are generated that signal the path of movement of the industrial truck in the operating environment of the industrial truck.

Abstract: Technologies for autonomous vehicle driving quality of service (QoS) determination and communication include an advanced vehicle with a vehicle computing device. The computing device determines multiple route segments of one or more routes to a destination. The computing device determines, for each route segment, one or more autonomous driving factors that are each indicative of an autonomy level achievable by the advanced vehicle for the associated route segment. Factors may include map availability, weather conditions, road conditions, or other factors. The computing device determines, for each route segment, an autonomous QoS score based on the autonomous driving factors. The computing device may rank multiple routes to the destination based on the autonomous QoS scores associated with the route segments of those routes. The computing device may display a proposed route to a user of the advanced vehicle and receive a selection from the user. Other embodiments are described and claimed.

Abstract: A target intention predicting method including a dataset obtaining step and a calculating and map mapping step is provided. A host vehicle positioning dataset of a host vehicle and a plurality of target datasets of a target are obtained. Each of the target datasets corresponds to each of a plurality of time points of a time line, and each of the target datasets includes a target position and a target velocity. The host vehicle positioning dataset is mapped to a map. The target position at the last one of the time points is mapped to the map. An updated velocity of the target is calculated according to the target velocities of the target datasets, and the updated velocity is mapped to the map to predicting a target future position of the target on the map at a future time point according to the updated velocity.

Abstract: An information processing system includes one or more vehicles, and a server communicable with the one or more vehicles. The vehicle acquires an image obtained by imaging a road on which a host vehicle is located. The vehicle or the server determines a degree of difficulty in traveling on the road due to snow cover from the image. The server stores the degree of difficulty in traveling for each of one or more roads, and provides information to a client by using the stored degree of difficulty in traveling for each of one or more roads.

Abstract: Systems, methods, and devices for receiving soil parameter data of a worksite and identifying one or more locations of the worksite for treatment based on the received soil parameter data are disclosed. In some implementations, the soil parameter data include thermal latency data. Soil compaction data of the worksite may be derived from the thermal latency data. A soil parameter map of the worksite may be generated based on the received soil parameter data, and a plan of action, such as identifying one or more locations to perform a soil treatment operation, may be determined based on the soil parameter map.