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.


HRFuser architecture overview

HRFuser: A Multi-resolution Sensor Fusion Architecture for 2D Object Detection
Tim Broedermann, Christos Sakaridis, Dengxin Dai, and Luc Van Gool
2022 arXiv preprint arXiv:2206.15157
[PDF]   [Code]   [BibTeX]   [arXiv]

L2E example

Lasers to Events: A Flexible Automatic Method for 6-DoF Extrinsic Calibratio nof Lidars and Event Cameras
Kevin Ta, David Bruggemann, Tim Broedermann, Christos Sakaridis, and Luc Van Gool
2022 arXiv preprint arXiv:2207.01009
[PDF]   [Code]   [BibTeX]   [arXiv]

athlas example image of a helicopter landing gear

An Adaptive Landing Gear for Extending the Operational Range of Helicopters
Boris Stolz, Tim Broedermann, Enea Castiello, Gokula Englberger, Daniel Erne, ... Marco Hutter
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
[PDF]   [BibTeX] [IEEE]  


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.


Computer Vision Laboratory
Sternwartstrasse 7
ETH Zentrum
CH - 8092 Z├╝rich, Switzerland
Office: ETF D 115
E-mail: tim.broedermann[at]vision.ee.ethz.ch