This article addresses the problem of robust signal processing of 3D lidar data prone to noise. After describing the characteristics of the lidar data given we describe how the data can be segmented in a robust manner. The approach is based on edge detection followed by region growing. We show how the segments can be described using parametric models. In the final step the segments are circumscribed using appropriate bounding objects. We motivate the individual steps of our approach and light up the mathematical background.
Robust object segmentation and parametrization of 3D lidar data
2005-01-01
1102975 byte
Conference paper
Electronic Resource
English
Robust Object Segmentation and Parametrization of 3D Lidar Data
British Library Conference Proceedings | 2005
|Robust Pole Assignment via Sylvester Equation Based State Feedback Parametrization
German Aerospace Center (DLR) | 2000
|Parametrization of Compliant, Object-Level Controllers from Human Demonstrations
Springer Verlag | 2022
|Robust Object Segmentation Using Low Resolution Stereo
British Library Conference Proceedings | 2004
|