A method includes, by a central computing device, receiving instructions to provide access to a first autonomous vehicle of multiple autonomous vehicles in an array, wherein the first autonomous vehicle is blocked by one or more blocking autonomous vehicles of the multiple autonomous vehicles in the array, and causing coordinated movements to be performed by one or more blocking autonomous vehicles to create a gap in the array, wherein the gap provides a temporary access aisle to provide access to the first autonomous vehicle.

A method includes, by a central computing device, determining that a first autonomous vehicle at a first location is to relocate to a second location, wherein a pathway for the first autonomous vehicle to reach the second location is blocked by one or more second autonomous vehicles, computing coordinated movements for multiple autonomous vehicles including the first autonomous vehicle and the one or more second autonomous vehicles, wherein the coordinated movements are computed to allow the first autonomous vehicle to reach the second location and the coordinated movements include having the first autonomous vehicle wait until after at least one of the second autonomous vehicles performs its coordinated movements, and causing the multiple autonomous vehicles to execute the coordinated movements.

A travel assistance device is a travel assistance device for assisting traveling of a subsequent vehicle following a vehicle group in the form of vehicle platooning in a last vehicle of a plurality of vehicles included in the vehicle group, including: an information acquiring unit for acquiring information indicating right/left turning vehicles that turn right or left at an intersection among the vehicles and information indicating deceleration timing of a first vehicle from front among the right/left turning vehicles; and a direction indicator controlling unit for turning on a direction indicator of the last vehicle at the deceleration timing of the foremost right/left turning vehicle.

A system, an apparatus or a process may be configured to implement an application that applies artificial intelligence and/or machine-learning techniques to predict an optimal course of action (or a subset of courses of action) for an autonomous vehicle system (e.g., one or more of a planner of an autonomous vehicle, a simulator, or a teleoperator) to undertake based on suboptimal autonomous vehicle performance and/or changes in detected sensor data (e.g., new buildings, landmarks, potholes, etc.). The application may determine a subset of trajectories based on a number of decisions and interactions when resolving an anomaly due to an event or condition. The application may use aggregated sensor data from multiple autonomous vehicles to assist in identifying events or conditions that might affect travel (e.g., using semantic scene classification). An optimal subset of trajectories may be formed based on recommendations responsive to semantic changes (e.g., road construction).

A method for controlling an autonomous vehicle is disclosed. A vehicle control method for controlling a following vehicle that follows a preceding vehicle, according to an embodiment of the present invention, includes receiving target driving state information; projecting a distance marker image forward through a projector provided in a vehicle;

detecting a preceding vehicle and the distance marker image through a camera provided in the vehicle; acquiring actual driving state information of the vehicle on the basis of a positional relation between the preceding vehicle and the distance marker image; calculating an error between the target driving state information and the actual driving state information; and controlling the vehicle such that the error decreases.

One or more of an autonomous vehicle, a user terminal and a server of the present invention can be associated with AI, robots, augmented reality (AR) and virtual reality (VR).

A method, by a computing device of a first autonomous escort vehicle of a convoy that includes multiple autonomous escort vehicles, that includes: receiving, from a central computing device associated with the convoy, an instruction to prevent one or more environmental vehicles from interfering with movements of the convoy, wherein the instruction is determined by the central computing device based on first sensor data from one or more autonomous escort vehicles in the convoy and the movements of the convoy; determining, based on second sensor data from one or more sensors of the first autonomous escort vehicle, a set of movements for preventing the one or more environmental vehicles from interfering with the movements of the convoy; and performing the set of movements.

Various embodiments relate generally to autonomous vehicles and associated mechanical, electrical and electronic hardware, computer software and systems, and wired and wireless network communications to provide an autonomous vehicle fleet as a service. In particular, a method may include identifying a location of a user device associated with a user, transmitting a command to an autonomous vehicle system associated with an autonomous vehicle service to transit to the location, and providing information associated with the user device to the autonomous vehicle system, where the information includes configuration data to adapt one or more sub-systems of the autonomous vehicle. Sub-systems of the autonomous vehicle may include interior lighting, ambient sound, road handling, seating configuration, communication synchronization, and temperature control systems.

A method for directing transport vehicles based on real-time operating parameters of a paving train machine comprises estimating a material productivity value at a current location of the paving train machine, comparing the material productivity value to a threshold productivity value, generating a predicted location for the paving train machine when the threshold will be reached, and communicating the generated predicted location to a transport vehicle. A system for coordinating location of an empty transport vehicle in a paving train comprises a sensor to generate material productivity data for a paving train machine, a controller configured to determine an output rate of the paving train machine, a time when an in-use transport vehicle will be at capacity, and a location for where the in-use transport vehicle will be at capacity, and a communication device for the paving train machine configured to transmit the location to the empty transport vehicle.

An industrial truck having a lighting device, a logistics system having multiple industrial trucks as well as methods for operating the lighting device as well as the logistics system. The industrial truck includes at least one vehicle light and a controller for actuating the vehicle light. The controller is configured to capture at least one vehicle state parameter and to actuate the vehicle light in a pattern based on the at least one vehicle state parameter.

A computer-implemented method performed for alerting the presence of one or more combination vehicles, each comprising a first vehicle unit and one or more second vehicle units and provided with a plurality of alerting units. Each respective first vehicle unit and respective one or more second vehicle units comprises a respective alerting unit out of the plurality of alerting units. The method comprises obtaining movement data indicative of one or both of a current movement or an expected movement of the one or more combination vehicles from at least one data communicating unit comprised in any one of the one or more combination vehicles. The method further comprises determining the current movement and/or the expected movement of the one or more combination vehicles. The method further comprises triggering a sound alert on the plurality of alerting units.