323 citations · 546 across the 7 of their papers we have counts for
4 papers · 1 filter
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…
Autonomous Vehicles on the Edge: A Survey on Autonomous Vehicle Racing
Johannes Betz, Hongrui Zheng, Alexander Liniger +5
The rising popularity of self-driving cars has led to the emergence of a new research field in the recent years: Autonomous racing. Researchers are developing software and hardware…
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…