I am a Ph.D. candidate at Computer Vision Lab, ETH Zurich supervised by Prof. Luc Van Gool. My current research focuses on multi-sensor scene understanding in adverse weather conditions. Specifically, the focus of my research is on multi-modal fusion for robust semantic understanding of driving scenes. I take part in the EFCL project Sensor Fusion, in which we develop adaptive sensor fusion architectures for high-level visual perception. Before joining the Computer Vision Lab, I recieved an MSc in "Robotics, Systems and Control" and a BSc in "Mechanical Engineering", both at ETH Zurich.
Publications
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Contrastive Model Adaptation for Cross-Condition Robustness in Semantic Segmentation |
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HRFuser: A Multi-resolution Sensor Fusion Architecture for 2D Object Detection |
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Lasers to Events: A Flexible Automatic Method for 6-DoF Extrinsic Calibratio nof Lidars and Event Cameras |
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An Adaptive Landing Gear for Extending the Operational Range of Helicopters |
Teaching
Teaching instructor: Projekte & Seminare: Vision and Control in RoboCup at ETH Zurich in 2022.
Teaching assistant: Deep Learning for Autonomous Driving at ETH Zurich in 2021 and 2022.
Teaching assistant: Werkstoffe und Fertigung I+II at ETH Zurich in 2016 and 2017.
Contact
| Computer Vision Laboratory Sternwartstrasse 7 ETH Zentrum CH - 8092 Zürich, Switzerland |
Office: ETF D 115 E-mail: tim.broedermann[at]vision.ee.ethz.ch |