- > 연구성과 > 학술발표
공지사항
| 논문명 |
Gradient Field 기반 3D 포인트 클라우드 지면분할 기법 |
| 구분 |
국내발표 |
| 저자 |
호앙, 푸옹, 조성재, 장위강, 문명운, 심성대, 곽기호, 조경은 |
| 국내/국외 |
|
| 학술회의명 |
2016년 추계학술발표대회 |
| 개최국가 |
한국 |
| 주관기관 |
|
| 게재일 |
2016.11 |
| This study proposes a novel approach for ground segmentation of 3D point cloud. We combine two techniques: gradient threshold segmentation, and mean height evaluation. Acquired 3D point cloud is represented as a graph data structures by exploiting the structure of 2D reference image. The ground parts nearing the position of the sensor are segmented based on gradient threshold technique. For sparse regions, we separate the ground and nonground by using a technique called mean height evaluation. The main contribution of this study is a new ground segmentation algorithm which works well with 3D point clouds from various environments. The processing time is acceptable and it allows the algorithm running in real time. |
|
