Maximilian Geisslinger

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 14

Top Topics

Autonomous Vehicles

Inverse Reinforcement Learning

Vehicle Trajectory

Top Venues

J. Field Robotics

Nat. Mac. Intell.

Publications

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
TUM autonomous motorsport: An autonomous racing software for the Indy Autonomous Challenge. J. Field Robotics 40 (4) (2023)
Rainer Trauth, Marc Kaufeld, Maximilian Geisslinger, Johannes Betz
Learning and Adapting Behavior of Autonomous Vehicles through Inverse Reinforcement Learning. IV (2023)
Phillip Karle, Ferenc Török, Maximilian Geisslinger, Markus Lienkamp
MixNet: Physics Constrained Deep Neural Motion Prediction for Autonomous Racing. IEEE Access 11 (2023)
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
EDGAR: An Autonomous Driving Research Platform - From Feature Development to Real-World Application. CoRR (2023)
Maximilian Geisslinger, Franziska Poszler, Markus Lienkamp
An ethical trajectory planning algorithm for autonomous vehicles. Nat. Mac. Intell. 5 (2) (2023)
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
TUM Autonomous Motorsport: An Autonomous Racing Software for the Indy Autonomous Challenge. CoRR (2022)
Phillip Karle, Maximilian Geisslinger, Johannes Betz, Markus Lienkamp
Scenario Understanding and Motion Prediction for Autonomous Vehicles - Review and Comparison. IEEE Trans. Intell. Transp. Syst. 23 (10) (2022)
Phillip Karle, Ferenc Török, Maximilian Geisslinger, Markus Lienkamp
MixNet: Structured Deep Neural Motion Prediction for Autonomous Racing. CoRR (2022)
Maximilian Geisslinger, Franziska Poszler, Markus Lienkamp
An Ethical Trajectory Planning Algorithm for Autonomous Vehicles. CoRR (2022)
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
Indy Autonomous Challenge - Autonomous Race Cars at the Handling Limits. CoRR (2022)
Maximilian Geisslinger, Phillip Karle, Johannes Betz, Markus Lienkamp
Watch-and-Learn-Net: Self-supervised Online Learning for Probabilistic Vehicle Trajectory Prediction. SMC (2021)
Felix Nobis, Maximilian Geisslinger, Markus Weber, Johannes Betz, Markus Lienkamp
A Deep Learning-based Radar and Camera Sensor Fusion Architecture for Object Detection. CoRR (2020)
Felix Nobis, Maximilian Geisslinger, Markus Weber, Johannes Betz, Markus Lienkamp
A Deep Learning-based Radar and Camera Sensor Fusion Architecture for Object Detection. SDF (2019)
Alexander Heilmeier, Maximilian Geisslinger, Johannes Betz
A Quasi-Steady-State Lap Time Simulation for Electrified Race Cars. EVER (2019)