Claus Brenner
Papers
13
Total Citations
272
H-Index
7
About
Claus Brenner is a prominent researcher in 3D spatial data acquisition, LiDAR-based mapping, and autonomous vehicle localization. His work spans several decades, bridging early innovations in industrial optical measurement systems and cutting-edge autonomous driving technologies. Beginning with foundational contributions to multi-sensor calibration and structured light projection systems in the late 1990s, Brenner progressively advanced toward large-scale outdoor 3D sensing and mobile mapping. His most influential work, "Coarse Orientation of Terrestrial Laser Scans in Urban Environments" (2007, 135 citations), established key methods for registering LiDAR point clouds in complex city settings — a critical challenge in urban 3D modeling. He made further significant contributions to vehicle localization using LiDAR-extracted landmarks, directly supporting the development of autonomous and driver-assistance systems. More recently, Brenner has tackled the challenge of long-term map maintenance, addressing temporal changes in LiDAR data for self-driving applications, and pioneered uncertainty-aware mapping approaches using Gaussian processes. His 2022 interval-based visual-inertial LiDAR SLAM work reflects a continued commitment to rigorous, uncertainty-bounded spatial reasoning. Collectively, his research has shaped modern understanding of how robots and autonomous vehicles perceive, map, and reliably navigate complex real-world environments.
Research Focus
Key Achievements
Top Papers
- 1Coarse orientation of terrestrial laser scans in urban environments135 citations · 2007
- 2DATA PROCESSING AND CALIBRATION OF A CROSS-PATTERN STRIPE PROJECTOR32 citations · 2000
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- 5ASSESSING TEMPORAL BEHAVIOR IN LIDAR POINT CLOUDS OF URBAN ENVIRONMENTS18 citations · 2017
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- 7Interval-based Visual-Inertial LiDAR SLAM with Anchoring Poses7 citations · 2022
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- 10Gaussian Process Mapping of Uncertain Building Models With GMM as Prior3 citations · 2023