Claus Plank
Papers
1
Total Citations
18
H-Index
1
About
Claus Plank’s research centers on multi-modal sensor calibration and evaluation, with a particular focus on integrating cameras and laser scanners for computer vision and robotics applications. His most-cited work, “Accurate laser scanner to camera calibration with application to range sensor evaluation” (2017, 18 citations), addresses a critical challenge in fusing data from these two modalities—achieving precise spatial alignment to enable reliable overlay and joint use of information. This contribution is foundational for tasks like 3D mapping, autonomous navigation, and object recognition, where accurate sensor fusion is essential. Plank’s approach not only improves calibration accuracy but also provides a framework for evaluating range sensor performance, making it a practical tool for researchers and engineers. While his citation count reflects a focused, technical audience, the impact of his work lies in its methodological rigor and applicability to real-world systems. For students and researchers exploring sensor integration, Plank’s research offers a clear, reproducible pathway to enhancing multi-modal perception, underscoring his role in advancing the precision and reliability of robotic and computer vision systems.
Research Focus
Key Achievements
Top Papers
- 1