
Samuel Brucker
My research focuses on 3D perception for autonomous driving, particularly in the context of highway driving and challenging environmental conditions. I work on long-range accurate depth prediction for highway scenarios using multi-view geometry, aiming to improve 3D understanding at the distances required for high-speed autonomy. I investigate multi-modal sensor fusion with RGB, LiDAR, and novel sensors to enhance perception under adverse weather, nighttime, and limited-visibility conditions. My broader goal is to enable autonomous vehicles to achieve reliable and human-like spatial understanding in complex real-world environments.
📬 Contact
- brucker (at) zib.de
- languages
- German and English
🎓 Curriculum vitae
- since 2026
- Researcher at ZIB
📝 Publications and preprints
Preprints
- Ghilotti, F., Palladin, E., Brucker, S., Sigal, A., Bijelic, M., and Heide, F. (2026). TruckDrive: Long-Range Autonomous Highway Driving Dataset.
[arXiv]
[BibTeX]
@misc{2026_FilippoghilottiEtAl_Truckdrivedataset_2603-02413, archiveprefix = {arXiv}, eprint = {2603.02413}, arxiv = {arXiv:2603.02413}, primaryclass = {cs.CV}, year = {2026}, author = {Ghilotti, Filippo and Palladin, Edoardo and Brucker, Samuel and Sigal, Adam and Bijelic, Mario and Heide, Felix}, title = {TruckDrive: Long-Range Autonomous Highway Driving Dataset}, date = {2026-03-02} } - Ghilotti, F., Brucker, S., Saidy, N., Matteucci, M., Bijelic, M., and Heide, F. (2026). UniLiPs: Unified LiDAR Pseudo-Labeling with Geometry-Grounded Dynamic Scene Decomposition.
[arXiv]
[BibTeX]
@misc{2026_FilippoghilottiEtAl_Unilipspseudolabeling_2601-05105, archiveprefix = {arXiv}, eprint = {2601.05105}, arxiv = {arXiv:2601.05105}, primaryclass = {cs.CV}, year = {2026}, author = {Ghilotti, Filippo and Brucker, Samuel and Saidy, Nahku and Matteucci, Matteo and Bijelic, Mario and Heide, Felix}, title = {UniLiPs: Unified LiDAR Pseudo-Labeling with Geometry-Grounded Dynamic Scene Decomposition}, date = {2026-01-08} } - Palladin, E., Brucker, S., Ghilotti, F., Narayanan, P., Bijelic, M., and Heide, F. (2025). Self-Supervised Sparse Sensor Fusion for Long Range Perception.
[arXiv]
[BibTeX]
@misc{2025_EdoardopalladinEtAl_Selfsupervisedfusion_2508-13995, archiveprefix = {arXiv}, eprint = {2508.13995}, arxiv = {arXiv:2508.13995}, primaryclass = {cs.CV}, year = {2025}, author = {Palladin, Edoardo and Brucker, Samuel and Ghilotti, Filippo and Narayanan, Praveen and Bijelic, Mario and Heide, Felix}, title = {Self-Supervised Sparse Sensor Fusion for Long Range Perception}, date = {2025-08-19} } - Brucker, S., Walz, S., Bijelic, M., and Heide, F. (2024). Cross-spectral Gated-RGB Stereo Depth Estimation.
[arXiv]
[BibTeX]
@misc{2024_SamuelbruckerStefanieMarioFelix_Gatedrgbstereo_2405-12759, archiveprefix = {arXiv}, eprint = {2405.12759}, arxiv = {arXiv:2405.12759}, primaryclass = {cs.CV}, year = {2024}, author = {Brucker, Samuel and Walz, Stefanie and Bijelic, Mario and Heide, Felix}, title = {Cross-spectral Gated-RGB Stereo Depth Estimation}, date = {2024-05-21} }