Skip to content
Technical University of Munich

Cornelius Schröder, M.Sc.

e-mailcornelius.schroeder(at)tum.de
roomMW 3508
telephone+49.89.289.15779
fax+49.89.289.15357

Projects

TUM Autonomous Motorsport
Planning-informed Perception & Perception-informed Planning (PiP2)

Within the scope of the PiP2 project, the interaction between perception and planning for autonomous driving is explored. The aim of the project is the conception of perception and planning modules with improved compatibility. The software will be evaluated during the Indy Autonomous Challenge as well as in a public road scenario.

Activities

Lecture: Artificial Intelligence in Automotive Technology

 

Open student projects

Titel BA SA MA HW exp the kon Eintrag
Deep Learning for Autonomous Driving: Calibration of Localization Uncertainty in 3D Object Detectors 2025-10-28
Uncertainty-Aware 3D Object Detection for Autonomous Driving (Transformer-Based) 2025-09-30
Uncertainty-Aware Object Tracking for Autonomous Driving 2025-06-02
Evaluation Framework for Uncertainty-Aware 3D Object Detection in Autonomous Driving 2025-04-30
Making Autonomous Driving More Reliable: Localization Uncertainty Estimation in 3D Object Detectors – Implement a new AI Machine Learning MIMO Object Detector 2025-03-11
Develop an uncertainty-aware Deep Learning Object Detector and make Autonomous Driving safer! 2024-11-25

No entries?

If you are interested in writing a thesis or doing a study project in the field of object detection for autonomous driving, do not hesitate to contact me via e-mail.

[Translate to en:] Veröffentlichungen

2025

  • Kulmer, Dominik; Tahiraj, Ilir; Lienkamp, Markus: Autonomous Driver Licence (ADL) dataset. 2025, (other entry) more…
  • Kulmer, Dominik; Leitenstern, Maximilian; Weinmann, Marcel; Lienkamp, Markus: OpenLiDARMap: Zero-Drift Point Cloud Mapping Using Map Priors. Proceedings of the 11th International Conference on Vehicle Technology and Intelligent Transport Systems, SCITEPRESS - Science and Technology Publications, 2025, 178-188 more…
  • Leitenstern, Maximilian; Alten, Marko; Bolea-Schaser, Christian; Kulmer, Dominik; Weinmann, Marcel; Lienkamp, Markus: FlexCloud: Direct, Modular Georeferencing and Drift-Correction of Point Cloud Maps. Proceedings of the 11th International Conference on Vehicle Technology and Intelligent Transport Systems, SCITEPRESS - Science and Technology Publications, 2025, 157-165 more…

2024

  • Kulmer, Dominik; Tahiraj, Ilir; Chumak, Andrii; Lienkamp, Markus: Multi-LiCa: A Motion- and Targetless Multi - LiDAR-to-LiDAR Calibration Framework. 2024 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI), IEEE, 2024, 1-7 more…
  • Leitenstern, Maximilian; Sauerbeck, Florian; Kulmer, Dominik; Betz, Johannes: FlexMap Fusion: Georeferencing and Automated Conflation of HD Maps with OpenStreetMap. 2024 IEEE Intelligent Vehicles Symposium (IV), IEEE, 2024 more…

2023

  • Sauerbeck, Florian; Huch, Sebastian; Fent, Felix; Karle, Phillip; Kulmer, Dominik; Betz, Johannes: Learn to See Fast: Lessons Learned From Autonomous Racing on How to Develop Perception Systems. IEEE Access 11, 2023, 44034-44050 more…
  • Sauerbeck, Florian; Kulmer, Dominik; Pielmeier, Markus; Leitenstern, Maximilian; Weiß, Christoph; Betz, Johannes: Multi-LiDAR Localization and Mapping Pipeline for Urban Autonomous Driving. 2023 IEEE SENSORS, IEEE, 2023 more…
To top