activity
20242026
most citedAnalyzing the Impact of Simulation Fidelity on the Evaluation of Autonomous Driving Motion Control

11 citations · 21 across the 5 of their papers we have counts for

collaborators

5 papers

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.RO2026★ 11 cited

Analyzing the Impact of Simulation Fidelity on the Evaluation of Autonomous Driving Motion Control

Simon Sagmeister, Panagiotis Kounatidis, Sven Goblirsch +1

Simulation is crucial in the development of autonomous driving software. In particular, assessing control algorithms requires an accurate vehicle dynamics simulation. However, rece…

cs.RO2025

Bayesian Optimization-based Tire Parameter and Uncertainty Estimation for Real-World Data

Sven Goblirsch, Benedikt Ruhland, Johannes Betz +1

This work presents a methodology to estimate tire parameters and their uncertainty using a Bayesian optimization approach. The literature mainly considers the estimation of tire pa…

eess.SY2025★ 1 cited

Longitudinal Control for Autonomous Racing with Combustion Engine Vehicles

Phillip Pitschi, Simon Sagmeister, Sven Goblirsch +2

Usually, a controller for path- or trajectory tracking is employed in autonomous driving. Typically, these controllers generate high-level commands like longitudinal acceleration o…

cs.RO2024★ 9 cited

Three-Dimensional Vehicle Dynamics State Estimation for High-Speed Race Cars under varying Signal Quality

Sven Goblirsch, Marcel Weinmann, Johannes Betz

This work aims to present a three-dimensional vehicle dynamics state estimation under varying signal quality. Few researchers have investigated the impact of three-dimensional road…