75 citations · 117 across the 7 of their papers we have counts for
7 papers
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…
A Preview of Open-Loop and Feedback Nash Trajectories in Racing Scenarios
Matthias Rowold
Trajectory planning for autonomous race cars poses special challenges due to the highly interactive and competitive environment. Prior work has applied game theory as it provides e…
Hierarchical Time-Optimal Planning for Multi-Vehicle Racing
Georg Jank, Matthias Rowold, Boris Lohmann
This paper presents a hierarchical planning algorithm for racing with multiple opponents. The two-stage approach consists of a high-level behavioral planning step and a low-level o…
Online Time-Optimal Trajectory Planning on Three-Dimensional Race Tracks
Matthias Rowold, Levent Ögretmen, Ulf Kasolowsky +1
We propose an online planning approach for racing that generates the time-optimal trajectory for the upcoming track section. The resulting trajectory takes the current vehicle stat…
TUM autonomous motorsport: An autonomous racing software for the Indy Autonomous Challenge
Johannes Betz, Tobias Betz, Felix Fent +16
For decades, motorsport has been an incubator for innovations in the automotive sector and brought forth systems like disk brakes or rearview mirrors. Autonomous racing series such…
Indy Autonomous Challenge -- Autonomous Race Cars at the Handling Limits
Alexander Wischnewski, Maximilian Geisslinger, Johannes Betz +15
Motorsport has always been an enabler for technological advancement, and the same applies to the autonomous driving industry. The team TUM Auton-omous Motorsports will participate…