PRE-TRAINED MACHINE-LEARNED SCENARIO DATA DIFFICULTY METRIC FOR VEHICLE CONTROL
案件概要
発明者
Seth Benjamin Aaron; Andrew Scott Crego; Alec Jacob Farid; Peter Scott Schleede; Nathan David Shemonski
IPC分類
CPC分類
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.
原文(中国語)
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.
外部リソース