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Generating Realistic Safety-Critical Scenarios for Vehicle-Pedestrian Interactions

Pu, Qingwen et al.
arXiv (OAI Expanded) · Papers
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68t0568t07i-2-6i-2-9roboticssystems-and-control
Automated driving system deployment requires rigorous validation across safety-critical vehicle-pedestrian interactions, yet real-world datasets rarely capture high-risk scenarios while simulation platforms lack realistic behavior. In response, this study proposes a three-stage framework that combin
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