Maximilian Geisslinger

15 papers B 1C 1Journal 11Unranked 2
YearRankTypeTitle / Venue / Authors
2024 J jnl
Ethical Decision-Making for Self-Driving Vehicles: A Proposed Model & List of Value-Laden Terms that Warrant (Technical) Specification.
Sci. Eng. Ethics
Franziska Poszler, Maximilian Geisslinger, Christoph Lütge
2023 J jnl
An ethical trajectory planning algorithm for autonomous vehicles.
Nat. Mac. Intell.
Maximilian Geisslinger, Franziska Poszler, Markus Lienkamp
2023 J jnl
EDGAR: An Autonomous Driving Research Platform - From Feature Development to Real-World Application.
CoRR
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
2023 C conf
Learning and Adapting Behavior of Autonomous Vehicles through Inverse Reinforcement Learning.
IV
Rainer Trauth, Marc Kaufeld, Maximilian Geisslinger, Johannes Betz
2023 J jnl
MixNet: Physics Constrained Deep Neural Motion Prediction for Autonomous Racing.
IEEE Access
Phillip Karle, Ferenc Török, Maximilian Geisslinger, Markus Lienkamp
2023 J jnl
TUM autonomous motorsport: An autonomous racing software for the Indy Autonomous Challenge.
J. Field Robotics
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
2022 J jnl
An Ethical Trajectory Planning Algorithm for Autonomous Vehicles.
CoRR
Maximilian Geisslinger, Franziska Poszler, Markus Lienkamp
2022 J jnl
Indy Autonomous Challenge - Autonomous Race Cars at the Handling Limits.
CoRR
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
2022 J jnl
MixNet: Structured Deep Neural Motion Prediction for Autonomous Racing.
CoRR
Phillip Karle, Ferenc Török, Maximilian Geisslinger, Markus Lienkamp
2022 J jnl
Scenario Understanding and Motion Prediction for Autonomous Vehicles - Review and Comparison.
IEEE Trans. Intell. Transp. Syst.
Phillip Karle, Maximilian Geisslinger, Johannes Betz, Markus Lienkamp
2022 J jnl
TUM Autonomous Motorsport: An Autonomous Racing Software for the Indy Autonomous Challenge.
CoRR
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
2021 B conf
Watch-and-Learn-Net: Self-supervised Online Learning for Probabilistic Vehicle Trajectory Prediction.
SMC
Maximilian Geisslinger, Phillip Karle, Johannes Betz, Markus Lienkamp
2020 J jnl
A Deep Learning-based Radar and Camera Sensor Fusion Architecture for Object Detection.
CoRR
Felix Nobis, Maximilian Geisslinger, Markus Weber, Johannes Betz, Markus Lienkamp
2019 — conf
A Deep Learning-based Radar and Camera Sensor Fusion Architecture for Object Detection.
SDF
Felix Nobis, Maximilian Geisslinger, Markus Weber, Johannes Betz, Markus Lienkamp
2019 — conf
A Quasi-Steady-State Lap Time Simulation for Electrified Race Cars.
EVER
Alexander Heilmeier, Maximilian Geisslinger, Johannes Betz