3 papers
cs.RO2026
A2RL V\textsubscript{max}: The A2RL autonomous racing dataset for long-range, high-speed perception and multi-vehicle interaction
Marvin Klemp, Dominic Ebner, Cornelius Schröder +15
In autonomous driving development, a perception dataset is crucial, as it provides fundamental data for training, testing, and validating algorithms for an autonomous vehicle's mul…
cs.RO2026
RAGE-XY: RADAR-Aided Longitudinal and Lateral Forces Estimation For Autonomous Race Cars
Davide Malvezzi, Nicola Musiu, Eugenio Mascaro +2
In this work, we present RAGE-XY, an extended version of RAGE, a real-time estimation framework that simultaneously infers vehicle velocity, tire slip angles, and the forces acting…
cs.RO2026
RAGE: A Tightly Coupled Radar-Aided Grip Estimator For Autonomous Race Cars
Davide Malvezzi, Nicola Musiu, Eugenio Mascaro +2
Real-time estimation of vehicle-tire-road friction is critical for allowing autonomous race cars to safely and effectively operate at their physical limits. Traditional approaches…