Phillip Karle

According to our database, Phillip Karle authored at least 13 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Phillip Karle

PhD thesis, 2024

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., July, 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, Levent Ögretmen, Matthias Rowold, Florian Sauerbeck, Tim Stahl, Rainer Trauth, Frederik Werner, Alexander Wischnewski

J. Field Robotics, June, 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, Tobias Kerbl, Dominik Kulmer, Tobias Mascetta, Sebastian Maierhofer, Florian Pfab, Filip Rezabek, Esteban Rivera, Simon Sagmeister, Leander Seidlitz, Florian Sauerbeck, Ilir Tahiraj, Rainer Trauth, Nico Uhlemann, Gerald Würsching, Baha Zarrouki, Matthias Althoff, Johannes Betz, Klaus Bengler, Georg Carle, Frank Diermeyer, Jörg Ott, Markus Lienkamp

CoRR, 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

MixNet: Physics Constrained Deep Neural Motion Prediction for Autonomous Racing.

Phillip Karle, Ferenc Török, Maximilian Geisslinger, Markus Lienkamp

IEEE Access, 2023

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: Structured Deep Neural Motion Prediction for Autonomous Racing.

Phillip Karle, Ferenc Török, Maximilian Geisslinger, Markus Lienkamp

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

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, Matthias Rowold, Florian Sauerbeck, Tim Stahl, Rainer Trauth, Markus Lienkamp, Boris Lohmann

CoRR, 2022

2021

Radar Voxel Fusion for 3D Object Detection.

Felix Nobis, Ehsan Shafiei, Phillip Karle, Johannes Betz, Markus Lienkamp

CoRR, 2021

Watch-and-Learn-Net: Self-supervised Online Learning for Probabilistic Vehicle Trajectory Prediction.

Maximilian Geisslinger, Phillip Karle, Johannes Betz, Markus Lienkamp

Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

2020

Modal Vertical Vehicle Dynamics Control for Semi-Active and Active Suspension Systems.

Erik Enders, Phillip Karle, Giulia Bonelli, Daniel Killian, Georg Burkhard

Proceedings of the Fifteenth International Conference on Ecological Vehicles and Renewable Energies, 2020