Scalable End-to-End Autonomous Vehicle Testing via Rare-event Simulation

NeurIPS 2018 Matthew O'KellyAman SinhaHongseok NamkoongJohn DuchiRuss Tedrake

While recent developments in autonomous vehicle (AV) technology highlight substantial progress, we lack tools for rigorous and scalable testing. Real-world testing, the $\textit{de facto}$ evaluation environment, places the public in danger, and, due to the rare nature of accidents, will require billions of miles in order to statistically validate performance claims... (read more)

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