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.
At his current position, he is working in the Providentia++ project with the goal of creating a digital twin of the traffic on the freeway A9 and the highway B471 near Munich.
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
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
Zimmer, Walter; Creß, Christian; Nguyen, Huu Tung; Knoll, Alois C.: A9 Intersection Dataset: All You Need for Urban 3D Camera-LiDAR Roadside Perception. arXiv, 2023 mehr…BibTeX