A system for transportation includes a vehicle having a user interface, and a robotic process automation system wherein a set of data is captured for each user in a set of users as each user interacts with the user interface, and wherein an artificial intelligence system is trained using the set of data to interact with the vehicle to automatically undertake actions with the vehicle on behalf of the user.

Provided is a multi-vehicle collaborative trajectory planning method, apparatus (600) and system, and a device, a storage medium, and a computer program product. The method comprises: determining a specific number of different multi-vehicle priority schemes for multiple vehicles (S101); determining, by using a sequential planning policy, a corresponding collaborative planning scheme for each multi-vehicle priority scheme (S102); performing quality evaluation on each collaborative planning scheme to obtain a quality evaluation result (S103); and according to the quality evaluation result, determining a target collaborative planning scheme from the specific number of collaborative planning schemes (S104).

A method of optimizing an operating state of a vehicle includes classifying, using a first neural network of a hybrid neural network, social media data sourced from a plurality of social media sources as affecting a transportation system. The method further includes predicting, using a second neural network of the hybrid neural network, one or more effects of the classified social media data on the transportation system. The method further includes optimizing, using a third neural network of the hybrid neural network, a state of at least one vehicle of the transportation system, wherein the optimizing addresses an influence of the predicted one or more effects on the at least one vehicle.

A movable body control system (SYS) includes first and second movable bodies (1#1, 1#2) that are movable in a predetermined area (TA) in which a wireless communication network (NW) is built; and a control apparatus (3) for controlling the first and second movable bodies through the wireless communication network, the control apparatus includes: a storage unit (32) for storing a first communication quality information that indicates a communication quality in the predetermined area when the first movable body exists in each of a plurality of different locations in the predetermined area; a generation unit (311) for generating, based on the first communication quality information, a target moving route (TGT#2) that allows the second movable body to move while avoiding a first low quality location (DA_low1) at which the communication quality does not reach a desired quality due to the first movable body; and a control unit (312) for controlling the second movable body so that the second movable body moves along the target moving route.

Autonomous carriers or totes that include vacuum units are provided. As the totes move or are moved through a warehouse carrying products, they collect debris. The debris can be analyzed at the tote, and actions can be performed based upon the analysis.

An object processing system is disclosed that includes a plurality of track sections, and a plurality of remotely actuatable carriers for controlled movement along at least portions of the plurality of track sections, wherein each of the remotely controllable carriers is adapted to support and transport an object processing bin.

A method for modifying a queue of vehicles. In one embodiment, the method includes at least one computer processor determining respective distance values between a first vehicle and one or more adjacent vehicles within a queue of vehicles. The method further includes determining a threshold distance value that corresponds to a distance required to extract the first vehicle from within the queue of vehicles. The method further includes determining a change of position corresponding to at least one adjacent vehicle to the first vehicle within the queue of vehicles based on the determined respective distance values, wherein the determined change in position moves the at least one adjacent vehicle to a distance value from the first vehicle that exceed the threshold distance value. The method further includes transmitting respective requests to the at least one adjacent vehicle to move to the determined change of position.

An apparatus for displaying a virtual lane may include: a processor to generate the virtual lane by converting lane information of a preceding vehicle into lane information viewed in a viewpoint of a host vehicle, in platooning, and a display to display the virtual lane.

The present teaching relates to system, method, medium for in-situ perception in an autonomous driving vehicle. A plurality of types of sensor data acquired continuously by a plurality of types of sensors deployed on the vehicle are first received, where the plurality of types of sensor data provide information about surrounding of the vehicle. Based on at least one model, one or more items are tracked from a first of the plurality of types of sensor data acquired by one or more of a first type of the plurality of types of sensors, wherein the one or more items appear in the surrounding of the vehicle. At least some of the one or more items are then automatically labeled on-the-fly via either cross modality validation or cross temporal validation of the one or more items and are used to locally adapt, on-the-fly, the at least one model in the vehicle.

A vehicle is operable in a first operating mode in which the vehicle travels autonomously inside the traffic lane based on a detection of lane markings of a traffic lane and in a second operating mode in which the vehicle autonomously follows a vehicle driving in front while ignoring lane markings, and a method of its operation includes operating the vehicle in a first of the two operating modes, detecting a vehicle environment, and switching from the first operating mode to the other of the two operating modes as a function of the detected vehicle environment. A device can execute the method and a computer program can be executed by a device for performing the method.