12 citations · 19 across the 11 of their papers we have counts for
3 papers · 1 filter
Trajectory Planning Using Reinforcement Learning for Interactive Overtaking Maneuvers in Autonomous Racing Scenarios
Levent Ögretmen, Mo Chen, Phillip Pitschi +1
Conventional trajectory planning approaches for autonomous racing are based on the sequential execution of prediction of the opposing vehicles and subsequent trajectory planning fo…
Sampling-Based Motion Planning with Online Racing Line Generation for Autonomous Driving on Three-Dimensional Race Tracks
Levent Ögretmen, Matthias Rowold, Alexander Langmann +1
Existing approaches to trajectory planning for autonomous racing employ sampling-based methods, generating numerous jerk-optimal trajectories and selecting the most favorable feasi…
Open-Loop and Feedback Nash Trajectories for Competitive Racing with iLQGames
Matthias Rowold, Alexander Langmann, Boris Lohmann +1
Interaction-aware trajectory planning is crucial for closing the gap between autonomous racing cars and human racing drivers. Prior work has applied game theory as it provides equi…