14 citations · 28 across the 10 of their papers we have counts for
10 papers
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…
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…
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…
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…
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…
A Quasi-Steady-State Black Box Simulation Approach for the Generation of g-g-g-v Diagrams
Frederik Werner, Simon Sagmeister, Mattia Piccinini +1
The classical g-g diagram, representing the achievable acceleration space for a vehicle, is commonly used as a constraint in trajectory planning and control due to its computationa…
EDGAR: An Autonomous Driving Research Platform -- From Feature Development to Real-World Application
Phillip Karle, Tobias Betz, Marcin Bosk +31
While current research and development of autonomous driving primarily focuses on developing new features and algorithms, the transfer from isolated software components into an ent…