Provided are an apparatus and method for selectively selecting and controlling interior and exterior displays of a vehicle. The apparatus includes an input unit configured to receive driving environment information, a memory configured to store a program for controlling interior and exterior displays of a vehicle according to a driving environment, and a processor configured to execute the program. The processor controls at least one of the interior and exterior displays to selectively project display information in consideration of the driving environment information by transmitting a control command signal for the at least one of the interior and exterior displays.

In some embodiments, a powered trailer is provided having a chassis, a fixation structure for fixing the chassis to a target vehicle to be pushed, a drive mechanism for applying motive force to the chassis, an energy source for powering the drive mechanism, and a controller for controlling the application of motive force to the chassis by the drive mechanism. The drive mechanism is actuated by the controller to push the target 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 includes receiving location information for each of a plurality of autonomous vehicles in a zone, wherein the location information indicates locations of the autonomous vehicles in the zone, determining a mapping of locations of each of the autonomous vehicles in the zone based on the location information, and computing a set of coordinated movements for one or more of the autonomous vehicles based on the mapping.

A method includes receiving from a client computing device of a user, a request for access to an autonomous vehicle, determining one of a plurality of autonomous vehicles to provide the user access to in response to the request, wherein the determined autonomous vehicle is blocked by one or more other ones of the autonomous vehicles, determining locations of the determined autonomous vehicle and the blocking autonomous vehicles, and computing based on the locations of the determined autonomous vehicle and the blocking autonomous vehicles, coordinated movements to provide access to the determined autonomous vehicle as requested by the user.

A method includes receiving a request for access associated with a pre-assigned parking space of a particular one of a plurality of autonomous vehicles in a parking area, determining that the pre-assigned parking space of the particular autonomous vehicle has at least one blocking parking space that is pre-assigned to another autonomous vehicle, determining a state of the at least one blocking parking space with respect to the autonomous vehicle pre-assigned to it, and accessing pre-computed coordinated movements for the autonomous vehicles corresponding to the state of the at least one blocking parking space to provide the requested access.

A method includes causing an autonomous vehicle in a zone controlled by the zone authority to enter a controlled mode of operation according to which the autonomous vehicle follows one or more zone rules for operation of the autonomous vehicle in the zone, causing the autonomous vehicle to follow the zone rules while operating in in the zone, and causing the autonomous vehicle to be released from the zone rules and to exit the controlled mode when the autonomous vehicle leaves the zone.

A method including receiving, by a computing device of a convoy comprising one or more escorted autonomous vehicles information that indicates a location of each of the escorted autonomous vehicles and one or more operational aspects of each of the escorted autonomous vehicles, computing based on the information, one or more instructions to be executed by one or more of the escorted autonomous vehicles, wherein the instructions direct at least movement of the one more of the escorted autonomous vehicles, and causing the instructions to be transmitted to and autonomously executed by the one or more of the escorted autonomous vehicles.

A method includes receiving a request for access associated with a selected one of a plurality of autonomous vehicles in an array that comprises a plurality of columns, wherein the selected autonomous vehicle is in a first one of the columns and blocked by one or more other autonomous vehicles in the first column, and then computing coordinated movements for one or more of the autonomous vehicles to provide the requested access, wherein the autonomous vehicles blocking the selected autonomous vehicle in the first column are cyclically moved from the front of the first column to the back of a second one of the columns as autonomous vehicles in the second column are moved from the front of the second column to the back of the first column and the autonomous vehicles remaining in the first and second columns are moved forward.

A method includes receiving a request for access associated with a selected one of a plurality of autonomous vehicles in an array that comprises a plurality of columns, wherein the selected autonomous vehicle is in a first one of the columns and blocked by one or more other autonomous vehicles in the first column and one or more other autonomous vehicles in a second one of the columns, and computing coordinated movements for one or more of the autonomous vehicles to provide the requested access such that in each of the first and second columns, one or more of the autonomous vehicles in the column are moved longitudinally to move the column, and the movement of each of the first and second columns collectively creates a temporary access aisle for the selected autonomous vehicle.