Modal Vertical Vehicle Dynamics Control for Semi-Active and Active Suspension Systems. - Erik Enders; Phillip Karle; Giulia Bonelli; Daniel Killian; Georg Burkhard (EVER, 2020)

Watch-and-Learn-Net: Self-supervised Online Learning for Probabilistic Vehicle Trajectory Prediction. - Maximilian Geisslinger; Phillip Karle; Johannes Betz; Markus Lienkamp (SMC, 2021)

Radar Voxel Fusion for 3D Object Detection. - Felix Nobis; Ehsan Shafiei; Phillip Karle; Johannes Betz; Markus Lienkamp (CoRR, 2021)

Indy Autonomous Challenge - Autonomous Race Cars at the Handling Limits. - Alexander Wischnewski; Maximilian Geisslinger; Johannes Betz; Tobias Betz; Felix Fent; Alexander Heilmeier; Leonhard Hermansdorfer; Thomas Herrmann; Sebastian Huch; Phillip Karle; Felix Nobis; Levent Ögretmen; et al. (CoRR, 2022)

Autonomous Vehicles on the Edge: A Survey on Autonomous Vehicle Racing. - Johannes Betz; Hongrui Zheng; Alexander Liniger; Ugo Rosolia; Phillip Karle; Madhur Behl; Venkat Krovi; Rahul Mangharam (CoRR, 2022)

MixNet: Structured Deep Neural Motion Prediction for Autonomous Racing. - Phillip Karle; Ferenc Török; Maximilian Geisslinger; Markus Lienkamp (CoRR, 2022)

Scenario Understanding and Motion Prediction for Autonomous Vehicles - Review and Comparison. - Phillip Karle; Maximilian Geisslinger; Johannes Betz; Markus Lienkamp (IEEE Trans. Intell. Transp. Syst., 2022)

MixNet: Physics Constrained Deep Neural Motion Prediction for Autonomous Racing. - Phillip Karle; Ferenc Török; Maximilian Geisslinger; Markus Lienkamp (IEEE Access, 2023)

Learn to See Fast: Lessons Learned From Autonomous Racing on How to Develop Perception Systems. - Florian Sauerbeck; Sebastian Huch; Felix Fent; Phillip Karle; Dominik Kulmer; Johannes Betz (IEEE Access, 2023)

EDGAR: An Autonomous Driving Research Platform - From Feature Development to Real-World Application. - Phillip Karle; Tobias Betz; Marcin Bosk; Felix Fent; Nils Gehrke; Maximilian Geisslinger; Luis Gressenbuch; Philipp Hafemann; Sebastian Huber; Maximilian Hübner; Sebastian Huch; Gemb Kaljavesi; et al. (CoRR, 2023)

TUM autonomous motorsport: An autonomous racing software for the Indy Autonomous Challenge. - Johannes Betz; Tobias Betz; Felix Fent; Maximilian Geisslinger; Alexander Heilmeier; Leonhard Hermansdorfer; Thomas Herrmann; Sebastian Huch; Phillip Karle; Markus Lienkamp; Boris Lohmann; Felix Nobis; et al. (J. Field Robotics, 2023)

Multi-Modal Sensor Fusion and Object Tracking for Autonomous Racing. - Phillip Karle; Felix Fent; Sebastian Huch; Florian Sauerbeck; Markus Lienkamp (IEEE Trans. Intell. Veh., 2023)

A Generic Framework for Motion Prediction in Autonomous Driving (Ein generisches Framework zur Bewegungsprädiktion für Autonomes Fahren) - Phillip Karle (2024)