Autonomous vehicles (AVs) have significantly advanced in real-world deployment in recent years, yet safety continues to be a critical barrier to widespread adoption. Traditional functional safety approaches, which primarily verify the reliability, robustness, and adequacy of AV hardware and software systems from a vehi...
Henry X. Liu, Xin-Tao Yan, Hao-Wei Sun et al.· arXiv.org· 6 citations
Third-party evaluations of autonomous vehicle (AV) safety can play a vital role in improving public acceptance, building consumer confidence, and establishing effective safety standards. In Part I of this study, we propose a dedicated third-party testing initiative for systematically evaluating AV behavioral safety. In...
Henry X. Liu, Ting-Han Wang, Xin-Tao Yan et al.· 1 citation
Empirical findings show that, despite increased model scale and enhanced general reasoning capabilities, successive VLM generations do not consistently achieve better driving performance, and highlight the need for domain-specific adaptation to improve the safety of VLM-based autonomous driving systems.
Zhi-Jie Qiao, Hao-Wei Li, Zhong Cao et al.· 0 citations
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