arXiv cs.CV
· Papers
Driving Like Yourself: A Benchmark for Closed-Loop Personalized End-to-End Autonomous Driving
arXiv:2602.18757v3 Announce Type: replace Abstract: Human driving behavior is inherently diverse, yet most end-to-end autonomous driving (E2E-AD) systems learn a single average driving style, neglecting individual differences. Achieving personalized E2E-AD faces challenges across three levels: limited real-world datase