3 papers
cs.RO2026
Control-Informed Constraint Adaptation in Minimum-Time Trajectory Planning for Autonomous Racing
Ann-Kathrin Schwehn, Alexander Langmann, Mattia Piccinini +1
Autonomous racecars operate at the limits of vehicle dynamics, where small control errors translate into safety-critical behavior and lost performance. Trajectory planners assume p…
cs.RO2026
Head-to-Head autonomous racing at the limits of handling in the A2RL challenge
Simon Hoffmann, Simon Sagmeister, Tobias Betz +17
Autonomous racing presents a complex challenge involving multi-agent interactions between vehicles operating at the limit of performance and dynamics. As such, it provides a valuab…
cs.RO2025
GripMap: An Efficient, Spatially Resolved Constraint Framework for Offline and Online Trajectory Planning in Autonomous Racing
Frederik Werner, Ann-Kathrin Schwehn, Markus Lienkamp +1
Conventional trajectory planning approaches for autonomous vehicles often assume a fixed vehicle model that remains constant regardless of the vehicle's location. This overlooks th…