May 9, 2019 · In this paper, we propose an efficient method for segmenting the ground data of point clouds acquired from multi-channel Lidar sensors.
In this paper, we propose an efficient method for segmenting the ground data of point clouds acquired from multi-channel Lidar sensors. The goal of this study ...
The goal of this study is to completely separate ground points and nonground points in real time in various environments such as flat terrain, ...
Dec 1, 2019 · In this paper, we propose an efficient method for segmenting the ground data of point clouds acquired from multi-channel Lidar sensors.
Enhanced ground segmentation method for Lidar point clouds in human-centric autonomous robot systems.Human-centric Computing and Information Sciences,9,17.
Abstract Ground segmentation is an important step for any autonomous and remote-controlled systems. After separating ground and nonground parts, ...
The proposed method uses a multi-partition approach to extract ground points for each partition, followed by assessing the correction plane based on geometric ...
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Aug 15, 2021 · JCP converts the segmentation problem of the 3D point cloud into the smoothing problem of the 2D image and takes little time to improve the segmentation effect ...
This study proposes a new approach to segment a 3D point cloud gained by a3D multi-channel laser range sensor into different objects by dividing the point ...
Enhanced ground segmentation method for Lidar point clouds in human-centric autonomous robot systems. Article. Full-text available. Dec 2019.