元の名称記録: Zoox, Inc.

Techniques are described herein for determining a state of a vehicle and obtaining first and second audio data for playback by the vehicle. Respective audio priorities are determined for the first and second audio data, wherein at least the audio priority associated with the first audio data is determined based on vehicle data. Based on the audio priorities, a relative volume of the first audio data the second audio data is determined and the vehicle is caused to play the first audio data at the relative volume to the second audio data.

Simulation for testing and/or validating autonomous vehicle functions may comprise sampling a set of scenario data to determine a subset of the scenario data for simulating operation of the autonomous vehicle. Determining to include a first scenario in the subset may be based at least in part on one or more difficulty metrics determined by a machine-learned model for the first scenario.

A pre-trained machine-learned model, pre-generated clusters determined from embeddings generated by the machine-learned model, and/or difficulty metric(s) determined from simulation and associated with the clusters may be transmitted to and used on a vehicle. The machine-learned model may use sensor data to generate an embedding or a difficulty metric characterizing a current scenario encountered by the vehicle and the vehicle may alter operation of the vehicle based on the difficulty metric or difficulty metric(s) for the cluster associated with the embedding.