14 citations · 28 across the 10 of their papers we have counts for
8 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…
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…
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…