11 citations · 15 across the 18 of their papers we have counts for
10 papers · 1 filter
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…
Beyond the Plane: Coupling Planar Vehicle Dynamics with Three-Dimensional Road Geometry
Simon Sagmeister, Phillip Pitschi, Nico Haja +1
Simulation is crucial for developing and testing autonomous driving systems. In particular, the development of localization and control algorithms relies on an accurate vehicle dyn…
Drifting in the Future: Stabilizing Path Following Drifting on High-Latency Vehicle Systems
Frederik Werner, Till Heintzenberg, Markus Lienkamp +1
Autonomously controlling and handling a vehicle at and beyond its stability limit is a mathematically and computationally demanding task. Prior demonstrations of automated drifting…
SPARK: Low Latency Single-Camera 3D Pose Estimation for Autonomous Racing using Keypoints
Dominic Ebner, Markus Lienkamp
In autonomous racing, fast detection of other participants' movements is required to plan safe, collision-free trajectories with non-cooperative opponents. LiDAR detection is inher…
FAR-LIO: Enabling High-Speed Autonomy through Fast, Accurate, and Robust LiDAR-Inertial Odometry
Maximilian Leitenstern, Marcel Weinmann, Patrick Haft +3
Robust and accurate odometry estimation is essential in modern robotics. In environments characterized by highly dynamic motion and sensor noise, odometry estimation becomes increa…
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…
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…
RSLCPP -- Deterministic Simulations Using ROS 2
Simon Sagmeister, Marcel Weinmann, Phillip Pitschi +1
Simulation is crucial in real-world robotics, offering safe, scalable, and efficient environments for developing a variety of robotic applications. While the Robot Operating System…
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…
Approaching Current Challenges in Developing a Software Stack for Fully Autonomous Driving
Simon Sagmeister, Simon Hoffmann, Tobias Betz +3
Autonomous driving is a complex undertaking. A common approach is to break down the driving task into individual subtasks through modularization. These sub-modules are usually deve…