75 citations · 435 across the 20 of their papers we have counts for
8 papers · 1 filter
GripMap: An Efficient, Spatially Resolved Constraint Framework for Offline and Online Trajectory Planning in Autonomous Racing
Frederik Werner, Ann-Kathrin Schwehn, Markus Lienkamp +1
Conventional trajectory planning approaches for autonomous vehicles often assume a fixed vehicle model that remains constant regardless of the vehicle's location. This overlooks th…
Multi-Modal Sensor Fusion and Object Tracking for Autonomous Racing
Phillip Karle, Felix Fent, Sebastian Huch +2
Reliable detection and tracking of surrounding objects are indispensable for comprehensive motion prediction and planning of autonomous vehicles. Due to the limitations of individu…
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…
An Ethical Trajectory Planning Algorithm for Autonomous Vehicles
Maximilian Geisslinger, Franziska Poszler, Markus Lienkamp
With the rise of AI and automation, moral decisions are being put into the hands of algorithms that were formerly the preserve of humans. In autonomous driving, a variety of such d…
TUM autonomous motorsport: An autonomous racing software for the Indy Autonomous Challenge
Johannes Betz, Tobias Betz, Felix Fent +16
For decades, motorsport has been an incubator for innovations in the automotive sector and brought forth systems like disk brakes or rearview mirrors. Autonomous racing series such…
Indy Autonomous Challenge -- Autonomous Race Cars at the Handling Limits
Alexander Wischnewski, Maximilian Geisslinger, Johannes Betz +15
Motorsport has always been an enabler for technological advancement, and the same applies to the autonomous driving industry. The team TUM Auton-omous Motorsports will participate…
Real-Time Adaptive Velocity Optimization for Autonomous Electric Cars at the Limits of Handling
Thomas Herrmann, Alexander Wischnewski, Leonhard Hermansdorfer +2
With the evolution of self-driving cars, autonomous racing series like Roborace and the Indy Autonomous Challenge are rapidly attracting growing attention. Researchers participatin…
Multilayer Graph-Based Trajectory Planning for Race Vehicles in Dynamic Scenarios
Tim Stahl, Alexander Wischnewski, Johannes Betz +1
Trajectory planning at high velocities and at the handling limits is a challenging task. In order to cope with the requirements of a race scenario, we propose a far-sighted two ste…