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Maximilian Naumann

2 accepted papers

2022

AIB-MDP: Continuous Probabilistic Motion Planning for Automated Vehicles by Leveraging Action Independent Belief Spaces

IROS 2022poster

While automated research vehicles are already populating the roads, their commercial availability at scale is still to come. Presumably, one of the key challenges is to derive behaviors that are safe and comfortable but at the same time not overcautious, despite considerable uncertainties. These unc…

Cited by 2SourceScholar
2020

Analyzing the Suitability of Cost Functions for Explaining and Imitating Human Driving Behavior based on Inverse Reinforcement Learning

ICRA 2020poster

Autonomous vehicles are sharing the road with human drivers. In order to facilitate interactive driving and cooperative behavior in dense traffic, a thorough understanding and representation of other traffic participants' behavior are necessary. Cost functions (or reward functions) have been widely…

Cited by 69SourceScholar