- 期刊
- OpenAccess
Surface Reconstruction with Sparse Point Clouds of Velodyne® Sensor
並列摘要
Fast surface reconstruction from dense point clouds data(PCD) is a popular topic in robotics. However, it is still challenging to make large-scale surface maps with sparse PCD. This paper proposes a method to build surface maps using the PCD generated by velodyne® HDL- 32E laser scanner, which is wildly used in automatic driving vehicles and wild exploring robots. Supervoxel clustering method is employed in this paper to organise the spare point clouds, and scale variable triangular meshes are generated to represent the large-scale outdoor scenes. Experimental results show that the proposed method is efficient and robust even in uneven terrains contain complex obstacles.
被引用紀錄
Wen, M. H. (2011). 適用於H.264/MPEG-AVC可調式視訊編碼之快速幀內預測演算法與設計 [master's thesis, National Chiao Tung University]. Airiti Library. https://doi.org/10.6842/NCTU.2011.00913
Hu, S. Y. (2006). 感測網路架設的實作與研究 [master's thesis, National Taiwan University]. Airiti Library. https://doi.org/10.6342/NTU.2006.00295
顏誠威（2010）。利用SPR與ITC探討APMED與DNA之親和力〔碩士論文，國立清華大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0016-1901201111402222
延伸閱讀
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