Maximilian Geisslinger, M.Sc.

e-mail geisslinger@ftm.mw.tum.de
room MW 3505
phone +49.89.289.15386
fax +49.89.289.15357
  ResearchGate | ORCID

Activities

Lecture: Artificial Intelligence in Automotive Technology​​​​​​​

 

Student Projects

Publications

2022

  • Karle, Phillip; Geisslinger, Maximilian; Betz, Johannes; Lienkamp, Markus: Scenario Understanding and Motion Prediction for Autonomous Vehicles - Review and Comparison. IEEE Transactions on Intelligent Transportation Systems, 2022, 1-21 more…
  • Wischnewski, Alexander; Geisslinger, Maximilian; Betz, Johannes; Betz, Tobias; Fent, Felix; Heilmeier, Alexander; Hermansdorfer, Leonhard; Herrmann, Thomas; Huch, Sebastian; Karle, Phillip; Nobis, Felix; Ögretmen, Levent; Rowold, Matthias; Sauerbeck, Florian; Stahl, Tim; Trauth, Rainer; Lienkamp, Markus; Lohmann, Boris: Indy Autonomous Challenge - Autonomous Race Cars at the Handling Limits. In: Proceedings. Springer Berlin Heidelberg, 2022 more…

2021

  • Geisslinger, Maximilian; Karle, Phillip; Betz, Johannes; Lienkamp, Markus: Watch-and-Learn-Net: Self-supervised Online Learning for Probabilistic Vehicle Trajectory Prediction. 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC), IEEE, 2021 more…
  • Geisslinger, Maximilian; Poszler, Franziska; Betz, Johannes; Lütge, Christoph; Lienkamp, Markus: Autonomous Driving Ethics: from Trolley Problem to Ethics of Risk. Philosophy & Technology, 2021 more…

2019

  • Heilmeier, Alexander; Geisslinger, Maximilian; Betz, Johannes: A Quasi-Steady-State Lap Time Simulation for Electrified Race Cars. 2019 Fourteenth International Conference on Ecological Vehicles and Renewable Energies (EVER), IEEE, 2019 more…
  • Nobis, Felix; Geisslinger, Maximilian; Weber, Markus; Betz, Johannes; Lienkamp, Markus: A Deep Learning-based Radar and Camera Sensor Fusion Architecture for Object Detection. 2019 Sensor Data Fusion: Trends, Solutions, Applications (SDF), IEEE, 2019 more…