Jan Weingarten

École Polytechnique Fédérale de Lausanne

Papers

10

Total Citations

743

H-Index

9

About

Jan Weingarten is a pioneering researcher in mobile robotics, specializing in three-dimensional simultaneous localization and mapping (3D SLAM) and structured environment reconstruction. His core contributions lie in developing probabilistic feature-based algorithms that enable robots to build accurate 3D models of their surroundings while simultaneously tracking their own position. Weingarten’s seminal work, “EKF-based 3D SLAM for structured environment reconstruction” (168 citations), extended the classic EKF-SLAM framework to 3D space by extracting planar features from dense point clouds, a method refined in his highly cited “3D SLAM using planar segments” (131 citations). He also advanced sensor technology, notably evaluating state-of-the-art time-of-flight 3D cameras for real-time robot navigation (124 citations) and contributing to miniaturized smart cameras for 3D imaging (43 citations). His probabilistic plane fitting technique (69 citations) became a foundational tool for robotic mapping. Weingarten’s doctoral thesis, “Feature-based 3D SLAM” (2005), synthesized these innovations, establishing a systematic approach to 3D environment perception. With over 700 total citations, his work has profoundly influenced autonomous navigation, enabling robots to perceive and navigate complex indoor spaces with unprecedented accuracy.

Research Focus

Key Achievements

9
H-Index
10
Papers
743
Total Citations
74
Avg Citations/Paper
🏆 Most Cited Paper
EKF-based 3D SLAM for structured environment reconstruction
168 citations · 2005
📈 Most Prolific Year: 2005 (3 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: École Polytechnique Fédérale de Lausanne

Top Papers

  1. 1
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    3D SLAM using planar segments
    131 citations · 2006
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    Feature-based 3D SLAM
    34 citations · 2006
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Key Collaborators

Contact & Links

Available for collaboration
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