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

e-mail
languages
German and English

🎓 Curriculum vitae

since 2026
Researcher at ZIB

📝 Publications and preprints

Preprints

  1. 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}
    }
  2. 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}
    }
  3. 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}
    }
  4. 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}
    }