Abstract:
This paper introduces the segmentation of point cloud with the distance-based connectivity that is originated from the connectivity of local convexity criterion to enhanc...Show MoreMetadata
Abstract:
This paper introduces the segmentation of point cloud with the distance-based connectivity that is originated from the connectivity of local convexity criterion to enhance its accuracy and singularity [1]. The proposed feature is applied to calculate the weighted normal vector and to partition ground and objects respectively through integrating it with other features. The performances of segmentations with the introduced criterion are demonstrated with the labeled simulation data and the real data from 3D LIDAR compared to the original connectivity.
Published in: 2013 10th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI)
Date of Conference: 30 October 2013 - 02 November 2013
Date Added to IEEE Xplore: 02 December 2013
ISBN Information: