Motion Planning for Autonomous Vehicles in the Presence of Uncertainty Using Reinforcement Learning
Kasra Rezaee,Peyman Yadmellat,Simon Chamorro,Kasra Rezaee,Peyman Yadmellat,Simon Chamorro
Motion planning under uncertainty is one of the main challenges in developing autonomous driving vehicles. In this work, we focus on the uncertainty in sensing and perception, resulted from a limited field of view, occlusions, and sensing range. This problem is often tackled by considering hypothetical hidden objects in occluded areas or beyond the sensing range to guarantee passive safety. Howeve...
