논문명 | Non-ground Point Cloud Segmentation from Single LiDAR Scan |
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구분 | 국제발표 |
저자 | Seoungjae Cho, Jonghyun Kim, Kyungeun Cho, Kyhyun Um, Sungdae Sim |
국내/국외 | |
학술회의명 | The 4th FTRA International Conference on Advanced IT, engineering and Management (AIM-14) |
개최국가 | Korea |
주관기관 | |
게재일 | 2014.02 |
In order to enable controllers to feel as if they are onsite when remotely controlling robots, the remote locations should be reproduced as three–dimensional (3D) landscapes. To facilitate this, the point cloud obtained from Light Detection And Ranging (LiDAR) sensor needs to be made into a 3D model. This point cloud comprises a number of points, which are classified into ground and non-ground datasets in order to effectively make 3D models that satisfy the features of each dataset. This paper proposes an approach that segments the non-ground dataset from a single scan of the point cloud of an unpaved road acquired via LiDAR. |