Abstract: Systems and methods for controlling autonomous vehicles are provided. Assisted autonomy tasks facilitated by operators for a plurality of autonomous vehicles can be tracked in order to generate operator attributes for each of a plurality of operators. The attributes for an operator can be based on tracking one or more respective assisted autonomy tasks facilitated by the operator. The operator attributes can be used to facilitate enhanced remote operations for autonomous vehicles. For example, request parameters can be obtained in response to a request for remote assistance associated with an autonomous vehicle. An operator can be selected to assist with autonomy tasks for the autonomous vehicle based at least in part on the operator attributes for the operator and the request parameters associated with the request. Remote assistance for the first autonomous vehicle can be initiated, facilitated by the first operator in response to the request for remote assistance.

Abstract: The present disclosure is directed to using anomaly data detected in traffic data to efficiently initiate remote assistance sessions. In particular, a computing system can receive, from a computing device associated with a human-driven vehicle, travel data for the human-driven vehicle. The computer system can identify a navigation anomaly associated with the human-driven vehicle based on the travel data. The computer system can generate, based on the identified navigation anomaly, an anomaly entry for storage in an anomaly database, the anomaly entry comprising geofence data describing a geographic area associated with the navigation anomaly. The computer system can determine, based on location data received from an autonomous vehicle and the geofence data, that the autonomous vehicle is entering the geographic area associated with the navigation anomaly. The computer system can initiate a remote assistance session with the autonomous vehicle.

Abstract: Systems and methods for controlling autonomous vehicles are provided. Assisted autonomy tasks facilitated by operators for a plurality of autonomous vehicles can be tracked in order to generate operator attributes for each of a plurality of operators. The attributes for an operator can be based on tracking one or more respective assisted autonomy tasks facilitated by the operator. The operator attributes can be used to facilitate enhanced remote operations for autonomous vehicles. For example, request parameters can be obtained in response to a request for remote assistance associated with an autonomous vehicle. An operator can be selected to assist with autonomy tasks for the autonomous vehicle based at least in part on the operator attributes for the operator and the request parameters associated with the request. Remote assistance for the first autonomous vehicle can be initiated, facilitated by the first operator in response to the request for remote assistance.

Abstract: Systems and methods for controlling autonomous vehicles are provided. Assisted autonomy tasks facilitated by operators for a plurality of autonomous vehicles can be tracked in order to generate operator attributes for each of a plurality of operators. The attributes for an operator can be based on tracking one or more respective assisted autonomy tasks facilitated by the operator. The operator attributes can be used to facilitate enhanced remote operations for autonomous vehicles. For example, request parameters can be obtained in response to a request for remote assistance associated with an autonomous vehicle. An operator can be selected to assist with autonomy tasks for the autonomous vehicle based at least in part on the operator attributes for the operator and the request parameters associated with the request. Remote assistance for the first autonomous vehicle can be initiated, facilitated by the first operator in response to the request for remote assistance.

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 using anomaly data detected in traffic data to efficiently initiate remote assistance sessions. In particular, a computing system can receive, from a computing device associated with a human-driven vehicle, travel data for the human-driven vehicle. The computer system can identify a navigation anomaly associated with the human-driven vehicle based on the travel data. The computer system can generate, based on the identified navigation anomaly, an anomaly entry for storage in an anomaly database, the anomaly entry comprising geofence data describing a geographic area associated with the navigation anomaly. The computer system can determine, based on location data received from an autonomous vehicle and the geofence data, that the autonomous vehicle is entering the geographic area associated with the navigation anomaly. The computer system can initiate a remote assistance session with the autonomous vehicle.

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 for controlling autonomous vehicles are provided. Assisted autonomy tasks facilitated by operators for a plurality of autonomous vehicles can be tracked in order to generate operator attributes for each of a plurality of operators. The attributes for an operator can be based on tracking one or more respective assisted autonomy tasks facilitated by the operator. The operator attributes can be used to facilitate enhanced remote operations for autonomous vehicles. For example, request parameters can be obtained in response to a request for remote assistance associated with an autonomous vehicle. An operator can be selected to assist with autonomy tasks for the autonomous vehicle based at least in part on the operator attributes for the operator and the request parameters associated with the request. Remote assistance for the first autonomous vehicle can be initiated, facilitated by the first operator in response to the request for remote assistance.