Safe and Scalable Planning Under Uncertainty for Autonomous Driving

Slide from thesis defense showing a road with vehicles planning trajectories under uncertainty
Mar 24 2020
Stanford Intelligent Systems Lab
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In this Ph.D. theisis defense recording, Maxime Bouton with the Stanford Intelligent Systems Lab (SISL) presents his work on Safe and Scalable Planning Under Uncertainty for Autonomous Driving.