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공지사항
| 논문명 |
Real-time 3D scene modeling for LiDAR point cloud |
| 구분 |
국제발표 |
| 저자 |
Seoungjae Cho, Phuong Minh Chu, Kyungeun Cho* |
| 국내/국외 |
|
| 학술회의명 |
The International Conference on Big data, IoT and Cloud Computing |
| 개최국가 |
대한민국 |
| 주관기관 |
|
| 게재일 |
2003.01 |
| Real-time
3D scene modeling from a point cloud is challenging. This paper is intended at
presenting a novel approach for modeling 3D scenes from the LiDAR point cloud.
First, we make a list of colored points by mapping a local point cloud with 2D
images. Next, we apply our ground segmentation algorithm to separate ground
from nonground. For the ground part, we create a dynamic triangular mesh based
on a height map and the vehicle’s position. The nonground part is divided into
smaller groups. We employ a local voxel map for modeling each group. Then, all
the inner surfaces are eliminated. |
|
