MACHINE-LEARNED SCENARIO DATA DIFFICULTY METRIC FOR REDUCED COMPUTATIONAL COMPLEXITY
개요
출원인
Zoox, Inc.
발명자
Seth Benjamin Aaron; Andrew Scott Crego; Alec Jacob Farid; Peter Scott Schleede; Nathan David Shemonski
IPC 분류
CPC 분류
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.
원문 (중국어)
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.