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Technical University of Munich
Technical University of Munich

Foto von Christian Creß

M.Sc. Christian Creß

Technische Universität München

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

Postadresse

Postal:
Boltzmannstr. 3
85748 Garching b. München

Dienstort

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

Work:
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. 

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.

e-Mail: christian.cress [at] tum.de

LinkedIn
XING

Research Interests

  • Computer Vision
  • Artificial Intelligence
  • Software Architecture

Thesis Supervision

Open Thesis Topics:

Topic Type
Real-Time Object Detection in Poor-Visibility-Scenes Using Multi-Sensor-System Bachelor / Master

 

Completed and Ongoing Theses:

Title Author Status Type
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

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 more… BibTeX Full text ( 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 more… BibTeX Full text ( DOI )
  • 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 more… BibTeX Full text (mediaTUM)

2022

  • 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 more… BibTeX Full text (mediaTUM)

2021

  • Creß, Christian; Bing, Zhenshan; Knoll, Alois: Intelligent Transportation Systems Using External Infrastructure: A Literature Survey. arXiv, 2021 more… BibTeX Full text (mediaTUM)
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