Abstract: The present disclosure generally relates to identification and prioritization of autonomous vehicle (AV) data collection and data offload. In some aspects, the present disclosure provides a process for receiving one or more data collection triggers from an AV fleet management system, wherein the one or more triggers identify at least one condition that triggers collection of AV data by an AV; compiling the AV data in response to detecting the at least one condition identified by the one or more data collection triggers; determining a set of priorities that are associated with the one or more data collection triggers, wherein the set of priorities includes at least one instruction for prioritizing transmission of the AV data to the AV fleet management system; and transmitting, based on the set of priorities, the AV data to the AV fleet management system.

Abstract: Techniques are disclosed for evaluating digital map quality. A process includes steps for receiving change data indicating one or more feature discrepancies associated with one or more geographic regions of a digital map, analyzing the change data to determine which of the one or more feature discrepancies resulted in verified updates to the digital map, and generating a quality score for each of the geographic map regions based on the verified updates. Systems and machine-readable media are also provided.

Abstract: The subject disclosure relates techniques for evaluating map quality. In some aspects, a process of the disclosed technology includes steps for receiving change data indicating one or more feature discrepancies associated with one or more geographic regions of a digital map, analyzing the change data to determine which of the one or more feature discrepancies resulted in verified updates to the digital map, and generating a quality score for each of the geographic map regions based on the verified updates. Systems and machine-readable media are also provided.

Abstract: Techniques are disclosed for evaluating digital map quality. A process includes steps for receiving change data indicating one or more feature discrepancies associated with one or more geographic regions of a digital map, analyzing the change data to determine which of the one or more feature discrepancies resulted in verified updates to the digital map, and generating a quality score for each of the geographic map regions based on the verified updates. Systems and machine-readable media are also provided.

Abstract: The subject disclosure relates techniques for evaluating map quality. In some aspects, a process of the disclosed technology includes steps for receiving change data indicating one or more feature discrepancies associated with one or more geographic regions of a digital map, analyzing the change data to determine which of the one or more feature discrepancies resulted in verified updates to the digital map, and generating a quality score for each of the geographic map regions based on the verified updates. Systems and machine-readable media are also provided.