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20212023
most citedAutonomous Vehicles on the Edge: A Survey on Autonomous Vehicle Racing

323 citations · 546 across the 7 of their papers we have counts for

collaborators

7 papers

cs.RO2023★ 61 cited

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…

cs.RO2023★ 14 cited

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…

cs.RO2022★ 16 cited

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…

cs.RO2022★ 75 cited

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…

cs.RO2022★ 323 cited

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…

cs.RO2022

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…

cs.CV2021★ 57 cited

Radar Voxel Fusion for 3D Object Detection

Felix Nobis, Ehsan Shafiei, Phillip Karle +2

Automotive traffic scenes are complex due to the variety of possible scenarios, objects, and weather conditions that need to be handled. In contrast to more constrained environment…