Published in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2018
Adaptive landing gear system for helicopters to extend operational capabilities.
Recommended citation: Boris Stolz, Tim Broedermann, Enea Castiello, Gokula Englberger, Daniel Erne, Marco Hutter, et al. (2018). "An Adaptive Landing Gear for Extending the Operational Range of Helicopters." IROS.
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Published in IEEE International Conference on Robotics and Automation (ICRA), 2023
Automatic calibration method for multi-sensor alignment using lasers and event cameras.
Recommended citation: Kevin Ta, David Bruggemann, Tim Broedermann, Christos Sakaridis, and Luc Van Gool. (2023). "Lasers to Events: A Flexible Automatic Method for 6-DoF Extrinsic Calibration of Lidars and Event Cameras." ICRA.
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Published in IEEE International Conference on Intelligent Transportation Systems (ITSC), 2023
Multi-resolution sensor fusion approach for robust 2D object detection.
Recommended citation: Tim Broedermann, Christos Sakaridis, Dengxin Dai, and Luc Van Gool. (2023). "HRFuser: A Multi-resolution Sensor Fusion Architecture for 2D Object Detection." ITSC.
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Published in IEEE/CVF International Conference on Computer Vision (ICCV), 2023
Contrastive learning approach for adapting models to different environmental conditions.
Recommended citation: David Bruggemann, Christos Sakaridis, Tim Broedermann, and Luc Van Gool. (2023). "Contrastive Model Adaptation for Cross-Condition Robustness in Semantic Segmentation." ICCV.
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Published in SIGGRAPH, 2024
Novel neural scene representation for FMCW radar using frequency-space encoding.
Recommended citation: David Borts, Erich Liang, Tim Broedermann, Andrea Ramazzina, Stefanie Walz, Edoardo Palladin, Jipeng Sun, David Bruggemann, Christos Sakaridis, Luc Van Gool, Mario Bijelic, and Felix Heide. (2024). "Radar Fields: Frequency-Space Neural Scene Representations for FMCW Radar." SIGGRAPH.
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Published in European Conference on Computer Vision (ECCV), 2024
Comprehensive multi-sensor dataset for semantic understanding in adverse weather conditions.
Recommended citation: Tim Broedermann, David Bruggemann, Christos Sakaridis, Kevin Ta, Odysseas Liagouris, Jason Corkill, and Luc Van Gool. (2024). "MUSES: The Multi-Sensor Semantic Perception Dataset for Driving under Uncertainty." ECCV.
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Published in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025
Physics-based neural rendering for inverse rendering applications.
Recommended citation: Sean Wu, Shamik Basu, Tim Broedermann, Luc Van Gool, and Christos Sakaridis. (2025). "PBR-NeRF: Inverse Rendering with Physics-Based Neural Fields." CVPR.
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Published in IEEE Robotics and Automation Letters (RA-L), 2025
Condition-aware multimodal fusion approach for robust semantic perception in adverse weather.
Recommended citation: Tim Broedermann, Christos Sakaridis, Yuqian Fu, and Luc Van Gool. (2025). "CAFuser: Condition-Aware Multimodal Fusion for Robust Semantic Perception of Driving Scenes." RA-L.
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Published in IEEE Robotics and Automation Letters (RA-L), 2026
Depth-guided sensor fusion approach for robust semantic perception in autonomous driving.
Recommended citation: Tim Broedermann, Christos Sakaridis, Luigi Piccinelli, Wim Abbeloos, and Luc Van Gool. (2026). "DGFusion: Depth-Guided Sensor Fusion for Robust Semantic Perception." IEEE Robotics and Automation Letters, 11(3), 3334-3341. doi:10.1109/LRA.2026.3656789.
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Teaching Assistant, ETH Zurich, 2016
Teaching Assistant for the Materials and Manufacturing courses (Werkstoffe und Fertigung I+II) at ETH Zurich, covering fundamental concepts in materials science and manufacturing processes.
Teaching Assistant, ETH Zurich, TRACE Lab, 2021
Teaching Assistant for the Deep Learning for Autonomous Driving course. This course covered deep learning techniques and their applications in autonomous driving systems.
Head Teaching Assistant, ETH Zurich, Computer Vision Lab, 2022
Head Teaching Assistant for the RoboCup project seminar, coordinating student teams working on vision and control systems for robotic soccer.
Head Teaching Assistant, ETH Zurich, Computer Vision Lab, 2023
Head Teaching Assistant for the Computer Vision and Artificial Intelligence for Autonomous Cars course at ETH Zurich. Responsibilities included coordinating teaching activities and mentoring other teaching assistants.
Teaching Assistant, ETH Zurich, Computer Vision Lab, 2024
Teaching Assistant for the Computer Vision and Artificial Intelligence for Autonomous Cars course at ETH Zurich. This course covers fundamental concepts in computer vision and AI applications for autonomous vehicles.
