Foto von Christian Creß

M.Sc. Christian Creß

Technische Universität München

Informatik 6 - Lehrstuhl für Robotik, Künstliche Intelligenz und Echtzeitsysteme (Prof. Knoll)


Boltzmannstr. 3
85748 Garching b. München


Informatik 6 - Lehrstuhl für Robotik, Künstliche Intelligenz und Echtzeitsysteme (Prof. Knoll)

Schleißheimerstraße 90a(8111)
85748 Garching b. München

Curriculum Vitae

Christian Creß joined the Chair of Robotics, Artificial Intelligence and Real-time Systems at the Technical University of Munich (TUM) in 2020 as Research Assistant and Ph.D. candidate under the supervison of Prof. Dr.-Ing. habil. Alois Christian Knoll. He completed his M.Sc. in Applied Computer Science at the University of Applied Sciences Kempten in 2016. His Master Thesis “Visual Scene Analysis for the Segmentation of Static and Dynamic Objects” was realized in collaboration with ESG Elektroniksystem- und Logistik-GmbH. Before starting as Research Assistant at TUM, he worked as software developer in the industry.

As a Research Assistant, he worked on the prestigious AUTOtech.agil and Providentia++ projects. Based on the innovative Providentia++ roadside intelligent transportation system, he is finishing his Ph.D. in the field of computer vision with event-based cameras, where he established the complete perception pipeline from calibration, object detection, and data fusion.

e-Mail: christian.cress [at]


Research Interests

  • Computer Vision
  • Artificial Intelligence
  • Software Architecture

Thesis Supervision

Completed and Ongoing Theses:

Title Author Status Type
Radar-based Instance Segmentation of Moving Objects using Machine Learning Bengisu Ayan Submitted 12/23 Master Thesis
Camera-Based Object Detection in Poor-Visibility Conditions Using Adaptive Teacher Zafercan Aygürler Submitted 04/23 Master Thesis
Deep Learning Based Rain Removal for Object Detection in Poor-Visibility-Scenes Daniel Lehmberg Submitted 02/23 Bachelor Thesis
Runtime Calibration between Camera and Event-Based Camera for Sensor Fusion Erik Schütz Submitted 01/23 Master Thesis
Synthetic Data Generation Using GANs for Camera Based Object Detection Taiba Basit Submitted 01/23 Master Thesis
Object Detection in Poor-Visibility-Scenes Using Dynamic Adjustment of Pipeline Parameters Can Bayraktaroglu Submitted 10/22 Master Thesis
Deep Learning Based Object Detection with Artificial Training Data for Poor-Visibility-Scenes Xuemei Zhang Submitted 08/22 Bachelor Thesis
Accident Prevention Backend Framework to Support Autonomous Driving Noir Nigmatov Submitted 05/22 Master Thesis
Accident Prevention Frontend Framework to Support Autonomous Driving Mohammad Naanaa Submitted 03/22 Bachelor Thesis
Traffic Trajectory Prediction Within the Providentia++ Test Stretch Jurek Olden Submitted 05/22 Master Thesis
Enhancing Robustness of Intelligent Transportation Systems Through Self-Diagnosis Functionality Lukas Rabe Submitted 06/21 Master Thesis




  • Creß, Christian; Zimmer, Walter; Purschke, Nils; Doan, Bach Ngoc; Kirchner, Sven; Lakshminarasimhan, Venkatnarayanan; Strand, Leah; Knoll, Alois C.: TUMTraf Event: Calibration and Fusion Resulting in a Dataset for Roadside Event-Based and RGB Cameras. IEEE Transactions on Intelligent Vehicles, 2024 mehr… BibTeX Volltext ( DOI ) Volltext (mediaTUM)
  • Ghita, Ahmed; Antoniussen, Bjørk; Zimmer, Walter; Greer, Ross; Creß, Christian; Møgelmose, Andreas; Trivedi, Mohan M.; Knoll, Alois C.: ActiveAnno3D - An Active Learning Framework for Multi-Modal 3D Object Detection. IEEE Proceedings of Intelligent Vehicles Symposium 2024, 2024 mehr… BibTeX Volltext ( DOI )
  • Zimmer, Walter; Creß, Christian; Nguyen, Huu Tung; Knoll, Alois C.: TUMTraf Intersection Dataset: All You Need for Urban 3D Camera-LiDAR Roadside Perception [Best Student Paper Award]. 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), IEEE, 2024, 1030-1037 mehr… BibTeX Volltext ( DOI ) Volltext (mediaTUM)


  • Creß, Christian; Bing, Zhenshan; Knoll, Alois C.: Intelligent Transportation Systems Using Roadside Infrastructure: A Literature Survey. IEEE Transactions on Intelligent Transportation Systems, 2023, 1-0 mehr… BibTeX Volltext ( DOI )
  • Creß, Christian; Rabe, Lukas; Knoll, Alois: Enhancing Robustness Against Component Failures in Intelligent Transportation Systems Through Self-diagnosis Functionality. In: Proceedings of the 12th International Scientific Conference on Mobility and Transport. Springer Nature Singapore, 2023 mehr… BibTeX Volltext ( DOI )
  • Creß, Christian; Schütz, Erik; Žagar, Bare Luka; Knoll, Alois C.: Targetless Extrinsic Calibration Between Event-Based and RGB Camera for Intelligent Transportation Systems. 2023 IEEE Intelligent Vehicles Symposium (IV), IEEE, 2023 mehr… BibTeX Volltext ( DOI )


  • Creß, Christian; Zimmer, Walter; Strand, Leah; Fortkord, Maximilian; Dai, Siyi; Lakshminarasimhan, Venkatnarayanan; Knoll, Alois: A9-Dataset: Multi-Sensor Infrastructure-Based Dataset for Mobility Research. 33rd IEEE Intelligent Vehicles Symposium (IV), 2022 mehr… BibTeX Volltext (mediaTUM)


  • Jurek Olden, Walter Zimmer, Christian Creß: Traffic Trajectory Prediction Framework within Providentia++ – Guided Research. Technical University of Munich, 2021, mehr… BibTeX Volltext (mediaTUM)