SectorGSnet: Sector Learning for Efficient Ground Segmentation of Outdoor LiDAR Point Clouds

Ground segmentation of outdoor LiDAR point clouds remains challenging due to its sparse and irregular nature. This paper presents SectorGSnet: a ground segmentation framework for outdoor LiDAR point clouds, aiming to accomplish this task efficiently and effectively. The framework consists of a secto...

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Bibliographic Details
Main Authors: Dong He, Furqan Abid, Young-Min Kim, Jong-Hwan Kim
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9691325/