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20232026
most citedSampling-Based Motion Planning with Online Racing Line Generation for Autonomous Driving on Three-Dimensional Race Tracks

12 citations · 19 across the 11 of their papers we have counts for

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Showing 2026Show all

6 papers · 1 filter

cs.RO2026

Stability Control for Real World Testing in Autonomous Racing

Phillip Pitschi, Simon Sagmeister, Frederik Werner +2

Controlling an autonomous vehicle at the limits of handling is a challenging task. Due to external influences, such as road conditions or weather, a vehicle can easily become unsta…

cs.RO2026

Benchmarking Empirical and Learning-Based Approaches for Feedforward Steering Control in Autonomous Racing

Georg Jank, Mattia Piccinini, Sebastian Wenk +3

Feedforward steering control is a key component of hierarchical control architectures for autonomous racing. The goal is to reduce steering corrections from the feedback controller…

eess.SY2026

Robust Nonlinear Trajectory Tracking Control for Autonomous Racing on Three-Dimensional Tracks

Joscha F. Bongard, Georg Jank, Simon Sagmeister +1

We propose a robust nonlinear model predictive control (MPC) scheme for trajectory-tracking control of autonomous vehicles at the limits of handling on non-planar road surfaces. We…

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…

eess.SY2026★ 1 cited

Control Lyapunov Functions for Optimality in Sontag-Type Control

Joscha F. Bongard, Boris Lohmann

Given a Control Lyapunov Function (CLF), Sontag's famous Formula provides a nonlinear state-feedback guaranteeing asymptotic stability of the setpoint. At the same time, a cost fun…

eess.SY2026★ 1 cited

Dynamic Constraint Tightening for Nonlinear MPC for Autonomous Racing via Contraction Analysis

Joscha F. Bongard, Valentin L. Krieger, Boris Lohmann

This work develops a robust nonlinear Model Predictive Control (MPC) framework for path tracking in autonomous vehicles operating at the limits of handling utilizing a Control Cont…