Peter Fuersattel
Papers
1
Total Citations
18
H-Index
1
About
Peter Fuersattel is a researcher whose work sits at the critical intersection of computer vision and robotics, with a particular focus on multi-modal sensor fusion. His most cited work, "Accurate laser scanner to camera calibration with application to range sensor evaluation" (2017, 18 citations), addresses a fundamental challenge in the field: precisely aligning data from cameras and laser scanners. This calibration is essential for tasks ranging from autonomous navigation to 3D scene reconstruction. Fuersattel’s contribution lies in developing a method that not only achieves high accuracy in sensor alignment but also provides a framework for evaluating the performance of range sensors themselves. By enabling the reliable overlay of visual and depth data, his work has practical implications for improving the robustness of perception systems in robotics and autonomous vehicles. While his citation count is modest, the technical depth and applied nature of his research make it a valuable reference for practitioners seeking reliable calibration techniques. His work exemplifies the careful, methodical engineering required to build trustworthy multi-modal sensing systems.
Research Focus
Key Achievements
Top Papers
- 1