Reinhard Klette
Papers
11
Total Citations
136
H-Index
7
About
Reinhard Klette is a pioneering computer vision researcher whose work spans autonomous systems, 3D imaging, and geometric algorithms. His key research areas include LiDAR-camera calibration, stereo vision for moving platforms, and shortest-path computation for robotics. Klette’s most influential contribution is his work on visual odometry-driven online calibration for monocular LiDAR-camera systems (41 citations), which enabled robust sensor fusion for autonomous vehicles and mobile robots. He also made foundational advances in panoramic imaging, as detailed in his book *Imaging Beyond the Pinhole Camera* (20 citations), and developed the rubberband algorithm for calculating shortest paths in polygonal environments (19 citations), a method widely applied in robotics and driver assistance. His 2007 book *Human Motion: Understanding, Modelling, Capture, and Animation* (12 citations) remains a key reference in biomechanics and computer graphics. Klette’s research has had tangible industrial impact, including a machine vision system for a New Zealand manufacturing company that automated robot arm control for zinc die-cast products. With over 100 publications and consistent citation growth, Klette’s work continues to shape autonomous navigation, 3D reconstruction, and intelligent transportation systems.
Research Focus
Key Achievements
Top Papers
- 1Visual odometry driven online calibration for monocular LiDAR-camera systems41 citations · 2016
- 2Imaging Beyond the Pinhole Camera20 citations · 2006
- 3Exact and approximate algorithms for the calculation of shortest paths19 citations · 2006
- 4A Study on Stereo and Motion Data Accuracy for a Moving Platform14 citations · 2009
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- 8Rotating sensor-matrix camera calibration4 citations · 2010
- 9Rotating line cameras: Epipolar geometry and spatial sampling3 citations · 2006
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