12 citations · 19 across the 11 of their papers we have counts for
14 papers
MCTR: Midpoint Corrected Triangulation for Autonomous Racing via Digital Twin Simulation in CARLA
Junhao Ye, Cheng Hu, Yiqin Wang +6
In autonomous racing, reactive controllers eliminate the computational burden of the full See-Think-Act autonomy stack by directly mapping sensor inputs to control actions. This by…
M-Predictive Spliner: Enabling Spatiotemporal Multi-Opponent Overtaking for Autonomous Racing
Nadine Imholz, Maurice Brunner, Nicolas Baumann +2
Unrestricted multi-agent racing presents a significant research challenge, requiring decision-making at the limits of a robot's operational capabilities. While previous approaches…
R-CARLA: High-Fidelity Sensor Simulations with Interchangeable Dynamics for Autonomous Racing
Maurice Brunner, Edoardo Ghignone, Nicolas Baumann +1
Autonomous racing has emerged as a crucial testbed for autonomous driving algorithms, necessitating a simulation environment for both vehicle dynamics and sensor behavior. Striking…
DTR: Delaunay Triangulation-based Racing for Scaled Autonomous Racing
Luca Tognoni, Neil Reichlin, Edoardo Ghignone +4
Reactive controllers for autonomous racing avoid the computational overhead of full ee-Think-Act autonomy stacks by directly mapping sensor input to control actions, eliminating th…
Planar Velocity Estimation for Fast-Moving Mobile Robots Using Event-Based Optical Flow
Liam Boyle, Jonas Kühne, Nicolas Baumann +2
Accurate velocity estimation is critical in mobile robotics, particularly for driver assistance systems and autonomous driving. Wheel odometry fused with Inertial Measurement Unit…
Drive Fast, Learn Faster: On-Board RL for High Performance Autonomous Racing
Benedict Hildisch, Edoardo Ghignone, Nicolas Baumann +3
Autonomous racing presents unique challenges due to its non-linear dynamics, the high speed involved, and the critical need for real-time decision-making under dynamic and unpredic…