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

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