Interaction-aware motion planning and control based on game theory with human-in-the-loop validation

Mohamed-Khalil Bouzidi, Ehsan Hashemi

Abstract: Highlights•An interaction-aware planning and control framework is proposed for merging scenes.•The vehicle interacts communication-free with unknown goals by observing dynamic responses.•A learning-based inverse differential game estimates other vehicles’ cost function online.•The framework is experimentally validated through human-in-the-loop simulations.