Triangular mesh construction based on point cloud matrix and edge feature extraction | |
Sun JY(孙金云); Jiang Y(姜勇); Jiang J(姜静); Bai, Xiaobao | |
2016 | |
会议名称 | 2016 IEEE Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2016 |
会议日期 | May 20-22, 2016 |
会议地点 | Chongqing, China |
关键词 | granary temperature measurement power supply detection wireless communication |
页码 | 275-279 |
通讯作者 | 孙金云 |
中文摘要 | This paper builds a 3D laser scanner by a one-dimensional pitching rotation pan-tilt and a 2D laser range finder to get the 3D laser point cloud data from the motion environment. Depends on this data, a triangular mesh construction algorithm based on the point cloud matrix is proposed to construct the triangular mesh of the motion environment. Then a triangular plane normal vector clustering algorithm is used to extract the edge feature from the triangular mesh and the mean square deviation is employed as further process to make the edge feature more accurately. The experiment results show that the triangular mesh of motion environment can be constructed effectively and edge feature can be exacted accurately by the algorithms applied above. It lays the foundation of mobile robot autonomous movement in unknown complex environments. |
收录类别 | EI ; CPCI(ISTP) |
产权排序 | 1 |
会议主办者 | Chongqing Global Union Academy of Science and Technology; Global Union Academy of Science and Technology; IEEE Beijing Section |
会议录 | Proceedings of 2016 IEEE Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2016 |
会议录出版者 | IEEE |
会议录出版地 | Piscataway, NJ, USA |
语种 | 英语 |
ISBN号 | 978-1-4673-9192-4 |
WOS记录号 | WOS:000389505000058 |
内容类型 | 会议论文 |
源URL | [http://ir.sia.cn/handle/173321/19278] |
专题 | 沈阳自动化研究所_空间自动化技术研究室 |
推荐引用方式 GB/T 7714 | Sun JY,Jiang Y,Jiang J,et al. Triangular mesh construction based on point cloud matrix and edge feature extraction[C]. 见:2016 IEEE Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2016. Chongqing, China. May 20-22, 2016. |
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