The present disclosure relates to a vehicle scheduling method, apparatus, and system. The method includes: repeatedly performing following steps according to a preset scheduling period: receiving travelling information acquired by a target vehicle; searching, according to a global path of the target vehicle, a topological map for a target directional path matching the travelling information; determining a right-of-way node sequence of the target vehicle according to the target directional path and a coverage range of the target vehicle, where the right-of-way node sequence includes multiple right-of-way nodes, and the right-of-way nodes are nodes on the topological map; and determining right-of-way nodes matching the global path in the right-of-way node sequence as target right-of-way nodes in a case that each of the right-of-way nodes in the right-of-way node sequence is in a vacant state, and sending the target right-of-way nodes to the target vehicle, so that the target vehicle travels according to a path indicated by the target right-of-way nodes.

Disclosed is a robot cleaner which adjusts a suction area of air suctioned into a suction port through a shutter and a shutter driving device configured to operate the shutter, so that a flow rate of air is adjusted, thus more effectively suctioning dust in the air by using a fan motor having a fixed capacity.

A method includes receiving sensor data from a sensor associated with a vehicle and determining a likelihood that the vehicle is experiencing an emergency condition based on the sensor data. The method also includes sending an alert indicative of the likelihood, the alert comprising at least a portion of the sensor data.

Aspects of the present disclosure relate generally to identifying and displaying traffic lanes that are available for autonomous driving. Information is displayed to a driver of a vehicle having an autonomous driving mode to inform the driver of where the autonomous driving mode can be used by visually distinguishing between lanes that are available for autodrive from those that are not, and when a lane is an autodrive lane the display includes information indicating how much further the vehicle may continue in the autonomous driving mode in that particular lane before requiring a particular maneuver to depart that lane in order to stay on a route. The display may also indicate the position of a lane (autodrive or not) currently occupied by the vehicle. The display may also display information indicating the remaining autodrive distance in other lanes as well as the lane with the greatest remaining autodrive distance.

Systems and methods are provided for generating data indicative of a friction associated with a driving surface, and for using the friction data in association with one or more vehicles. In one example, a computing system can detect a stop associated with a vehicle and initiate a steering action of the vehicle during the stop. The steering action is associated with movement of at least one tire of the vehicle relative to a driving surface. The computing system can obtain operational data associated with the steering action during the stop of the vehicle. The computing system can determine a friction associated with the driving surface based at least in part on the operational data associated with the steering action. The computing system can generate data indicative of the friction associated with the driving surface.

A system for an automated-taxi includes a display and a controller. The display is viewable by one or more of a plurality of clients of an automated-taxi. The controller-circuit is in communication with the display. The controller is configured to determine a seating-arrangement of the plurality of clients transported by the automated-taxi. The seating-arrangement is determined in accordance with destinations of the plurality of clients. The controller is also configured to operate the display to show the seating-arrangement to one or more of the plurality of clients. A method of operating an automated-taxi includes receiving destinations of a plurality of clients to transported by an automated-taxi; determining a seating-arrangement of the plurality of clients in accordance with the destinations; and operating a display viewable by one or more of a plurality of clients of an automated-taxi to show the seating-arrangement to one or more of the plurality of clients.

An automatic storage and retrieval system includes: a delivery vehicle; a storage container carried by the delivery vehicle; and an unloading station for unloading an item from the storage container while it is being carried by the delivery vehicle. The unloading station includes: an unloading device; and a destination conveyor configured to convey the item to a target destination, wherein the unloading device is configured to move the item through a side opening of the storage container to the destination conveyor.

The present disclosure provides a method and an apparatus for vehicle control. The method includes: obtaining (101) manual operation information of a vehicle; determining (102) an intervention intention of a driver based on the manual operation information; and controlling (103), when the vehicle is currently in an automated driving mode and the intervention intention is determined to be a slow intervention, the vehicle to reach a predetermined safe state and handing corresponding control of the vehicle over to the driver. The method and apparatus can solve potential safety problems in vehicle control and improve safety of the vehicle control.

A system for determining a pose of a vehicle and building maps from vehicle priors processes received ground intensity LIDAR data including intensity data for points believed to be on the ground and height information to form ground intensity LIDAR (GIL) images including pixels in 2D coordinates where each pixel contains an intensity value, a height value, and x- and y-gradients of intensity and height. The GIL images are formed by filtering aggregated ground intensity LIDAR data falling into a same spatial bin on the ground and using a registration algorithm to align two GIL images relative to one another by estimating a 6-degree-of-freedom pose with associated uncertainty that minimizes error between the two GIL images. The aligned GIL images are provided as a pose estimate to a localizer. The system may provide online localization and pose estimation, prior building, and prior to prior alignment pose estimation using image-based techniques.

The present disclosure provides: at least one component of a rotary valve subassembly; a rotary valve assembly including the rotary valve subassembly; a hydraulic circuit including the rotary valve assembly; an assembly including a robot that incorporates the hydraulic circuit; and a method of operating the rotary valve assembly. The at least one component of the rotary valve subassembly includes a spool. The at least one component of the rotary valve subassembly includes a sleeve.