Abstract: Systems and methods for dynamic data buffering and provision for vehicle remote assistance are provided. An example computer-implemented method includes obtaining, by a computing system, data associated with an autonomous vehicle. The example method includes detecting, by the computing system, a potential remote assistance event based at least in part on the data associated with the autonomous vehicle. The example method includes initiating, by the computing system, a preliminary remote assistance action based at least in part on the potential remote assistance event. The preliminary remote assistance action includes at least one of transmitting sensor data acquired by the autonomous vehicle to a remote computing system or storing the sensor data onboard the autonomous vehicle. The example method includes communicating, by the computing system after the initiation of the preliminary remote assistance action, a request for remote assistance of the autonomous vehicle.

Abstract: Systems and methods for improving remote operator assistance for an autonomous vehicle are provided. In particular, a computing system can obtain a plurality of sensor sweeps. The computing system can receive a request for remote assistance from an autonomous vehicle. The computing system can receive real-time video data from the autonomous vehicle. The computing system can receive real-time telemetry data from the autonomous vehicle. The computing system can present the real-time video data in a remote assistance interface. The computing system can generate a graphical overlay based on the telemetry data and display it in a remote assistance user interface over the real-time video data. The computing system can display one or more remote assistance options in the remote assistance user interface. The computing system can transmit instructions to perform one or more of the remote assistance options based on input from a remote assistance operator.

Abstract: The present disclosure is directed to autonomous vehicle service assignment simulation using simulated remote operators. In particular, a computing system comprising one or more computing devices can obtain sensor data associated with an interior of an autonomous vehicle. The computing system can determine using the sensor data that the interior of the autonomous vehicle contains one or more passengers. In response to determining that the interior of the autonomous vehicle contains one or more passengers, the computing system can analyze the sensor data to determine whether the one or more passengers are violating one or more passenger policies. In response to determining that the one or more passengers are violating one or more passenger policies, the computing system can automatically initiate a remote assistance session with a remote operator.

Abstract: Systems and methods are directed to a task management platform for managing autonomous vehicles. In one example, a computer-implemented method for managing a fleet of vehicles includes obtaining, by a computing system comprising one or more computing devices, vehicle state data indicative of vehicle state from one or more vehicles among a fleet of vehicles. The method further includes determining, by the computing system, if a vehicle event has occurred based at least in part on the vehicle state data. The method further includes in response to determining a vehicle event has occurred, generating, by the computing system, one or more tasks for resolution of the vehicle event, wherein the one or more tasks include data associated with the one or more vehicles and the vehicle event. The method further includes providing, by the computing system, data associated with the one or more tasks to a remote operator computing system.

Abstract: Systems and methods for managing a fleet of vehicles are provided. In one example embodiment, a computer-implemented method includes obtaining data representing vehicle state information associated with one or more vehicles among a fleet of vehicles at one or more times. The method includes predicting a future vehicle state associated with the one or more vehicles at one or more future times. The method includes scheduling a vehicle assignment in a predetermined set of vehicle assignments for a selected vehicle among the one or more vehicles before a first future time among the one or more future times. The method includes transmitting a command signal to a computing system associated with the selected vehicle based at least in part on the scheduled vehicle assignment.