Research papers · 2023
CausalAF: Causal Autoregressive Flow for Safety-Critical Driving Scenario Generation
CausalAF: Causal Autoregressive Flow for Safety-Critical Driving Scenario Generation
Overview
CausalAF incorporates causal masking into a flow-based scenario generator to represent relationships among generated objects. Experiments across three traffic settings evaluate critical-scenario generation efficiency and using generated cases to improve driving-policy robustness.
Author-supplied source information
Author-supplied information on arXiv.
Acceptted to CoRL 2022
Version: arXiv v3 — manuscript revision