Research papers · Posted 2022.02.04 · Publication / acceptance: author-reported
A Survey on Safety-Critical Driving Scenario Generation -- A Methodological Perspective
A Survey on Safety-Critical Driving Scenario Generation -- A Methodological Perspective
Overview
The survey classifies critical driving-scenario generation into data-driven, adversarial, and knowledge-based methods. It reviews simulation tools and analyzes research challenges in fidelity, efficiency, diversity, transferability, and controllability.
Publication and version information
Publication, acceptance or venue information is author-reported on arXiv. The exact source wording is preserved below.
Author-supplied source information
Author-supplied information on arXiv.
18 pages, 5 figures. IEEE Transactions on Intelligent Transportation Systems (T-ITS) 2023
Version: arXiv v6 — manuscript revision