Automotive safety validation requires evaluation on a statistically representative set of roadway configurations and scene geometries. Scenes must be sampled from a statistical model representative of what actually occurs on roadways. This paper introduces a methodology for realistic scene model construction based on factor graphs that can be applied to arbitrary road geometries. Parameter learning for factor graphs is known to be convex. Experiments show that the proposed method is superior to the state of the art.
Factor graph scene distributions for automotive safety analysis
2016-11-01
650757 byte
Conference paper
Electronic Resource
English
CRITICAL FACTOR GRAPH SITUATION CLUSTERS FOR ACCELERATED AUTOMOTIVE SAFETY VALIDATION
British Library Conference Proceedings | 2019
|Safety factor in automotive design
Engineering Index Backfile | 1966
|The Safety Factor in Automotive Design
SAE Technical Papers | 1966
|Scene Understanding With Automotive Radar
IEEE | 2020
|