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	Triple-surface structure extraction and fitting for control point positioning in LiDAR point clouds
	Qu, Wenwen ; Wang, Cheng ; Wang, Hanyun ; Cheng, Ming ; Li, Jonathan ; Wang C(王程) ; Cheng M(程明) ; Li J(李军)
	2014
关键词	Algorithms Extraction Internet Mapping
英文摘要	Conference Name:6th International Conference on Internet Multimedia Computing and Service, ICIMCS 2014. Conference Address: Xiamen, China. Time:July 10, 2014 - July 12, 2014.; National Natural Foundation of China; SIGMM China Chapter; Xiamen University; LiDAR technology, which is an important approach for capturing highly accurate geospatial information at large scale, has been rapidly developed in recent decades. The accuracy of laser ranging may achieve 2 to 3 cm under ideal conditions. However, this accuracy level cannot support the extremely high engineering scale mapping, such as railroad corridor mapping. In this paper, we propose a novel approach to decrease the navigation errors in the point clouds. The method is based on extracting and fitting the control point on the structure composed of three surfaces. This paper describes the LiDAR target design and the target identification algorithm. A detailed performance analysis is also given. Copyright 2014 ACM.
语种	英语
出处	http://dx.doi.org/10.1145/2632856.2632934
出版者	Association for Computing Machinery
内容类型	其他
源URL	[http://dspace.xmu.edu.cn/handle/2288/86853]
专题	信息技术－会议论文
推荐引用方式 GB/T 7714	Qu, Wenwen,Wang, Cheng,Wang, Hanyun,et al. Triple-surface structure extraction and fitting for control point positioning in LiDAR point clouds. 2014-01-01.

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