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An Empirical Analysis of the Use of Real-Time Reachability for the Safety Assurance of Autonomous Vehicles
[article]
2022
arXiv
pre-print
Recent advances in machine learning technologies and sensing have paved the way for the belief that safe, accessible, and convenient autonomous vehicles may be realized in the near future. Despite tremendous advances within this context, fundamental challenges around safety and reliability are limiting their arrival and comprehensive adoption. Autonomous vehicles are often tasked with operating in dynamic and uncertain environments. As a result, they often make use of highly complex components,
arXiv:2205.01419v1
fatcat:hphqn72orja4jnweko4cgc6nai