75 citations · 105 across the 6 of their papers we have counts for
6 papers
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…
MixNet: Structured Deep Neural Motion Prediction for Autonomous Racing
Phillip Karle, Ferenc Török, Maximilian Geisslinger +1
Reliably predicting the motion of contestant vehicles surrounding an autonomous racecar is crucial for effective and performant planning. Although highly expressive, deep neural ne…
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…
A Deep Learning-based Radar and Camera Sensor Fusion Architecture for Object Detection
Felix Nobis, Maximilian Geisslinger, Markus Weber +2
Object detection in camera images, using deep learning has been proven successfully in recent years. Rising detection rates and computationally efficient network structures are pus…