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.
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
Publications
2024
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 9 (7), 2024, 5186 - 5203 mehr…BibTeX
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Creß, Christian; Bing, Zhenshan; Knoll, Alois C.: Intelligent Transportation Systems Using Roadside Infrastructure: A Literature Survey. IEEE Transactions on Intelligent Transportation Systems 25 (7), 2024, 6309-6327 mehr…BibTeX
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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, 8 mehr…BibTeX
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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
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2023
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
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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
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Zimmer, Walter; Creß, Christian; Nguyen, Huu Tung; Knoll, Alois C.: A9 Intersection Dataset: All You Need for Urban 3D Camera-LiDAR Roadside Perception. , 2023 mehr…BibTeX
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Zimmer, Walter; Creß, Christian; Nguyen, Huu Tung; Knoll, Alois C.: TUMTraf Intersection Dataset: All You Need for Urban 3D Camera-LiDAR Roadside Perception. 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), IEEE, 2023, 1030-1037 mehr…BibTeX
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Jurek Olden, Walter Zimmer, Christian Creß: Traffic Trajectory Prediction Framework within Providentia++ – Guided Research. Technical University of Munich, 2021, mehr…BibTeX
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