Papers
35
Total Citations
1,979
H-Index
19
About
Kai Lingemann is a pioneering researcher in robotics and autonomous systems, with a particular focus on simultaneous localization and mapping (SLAM) and mobile robot navigation. His most influential contributions center on 6D SLAM — an advanced approach to mapping that accounts for all six degrees of freedom in robot pose estimation, encompassing positional coordinates and rotational angles. This work proved especially transformative for robots operating on uneven, natural terrain where traditional 2D or simplified 3D methods fall short. Lingemann's landmark 2007 paper, "6D SLAM — 3D Mapping Outdoor Environments," has accumulated over 440 citations, establishing him as a leading voice in three-dimensional environmental mapping. His early work on autonomous mine mapping demonstrated real-world applicability in challenging, GPS-denied environments, while his contributions to high-speed laser localization and iterative closest point (ICP) algorithms pushed the boundaries of computational efficiency in robot positioning. His research into loop closing techniques and globally consistent 3D mapping addressed critical challenges in long-term robot autonomy. Across his most-cited publications, Lingemann has garnered well over 1,500 citations, reflecting sustained influence on the robotics community. His work continues to underpin modern developments in autonomous vehicles, industrial robotics, and environmental modeling.
Research Focus
Key Achievements
Top Papers
- 16D SLAM—3D mapping outdoor environments446 citations · 2007
- 2Globally consistent 3D mapping with scan matching279 citations · 2007
- 36D SLAM with an application in autonomous mine mapping255 citations · 2004
- 4High-speed laser localization for mobile robots162 citations · 2005
- 56D SLAM with approximate data association142 citations · 2005
- 6Indoor and outdoor localization for fast mobile robots72 citations · 2005
- 7Heuristic-Based Laser Scan Matching for Outdoor 6D SLAM57 citations · 2005
- 83D Mapping with Semantic Knowledge55 citations · 2006
- 96D SLAM - preliminary report on closing the loop in six dimensions47 citations · 2004
- 10An Explicit Loop Closing Technique for 6D SLAM.45 citations · 2009