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	Automated detection of road manhole covers from mobile LiDAR point-clouds based on a marked point process
	Yu, Y. ; Li, J. ; Guan, H. ; Wang, C. ; Wang C(王程)
	2014
关键词	Bayesian networks Disaster prevention Disasters Inference engines Markov processes Optical radar Roads and streets Sewers Transportation
英文摘要	Conference Name:5th International Conference on Geo-Information Technologies for Natural Disaster Management, GiT4NDM 2013. Conference Address: Mississauga, ON, Canada. Time:October 9, 2013 - October 11, 2013.; This paper presents a novel algorithm for detecting road manhole covers from mobile LiDAR point-clouds. This algorithm takes advantage of a marked point process of discs and rectangles to model the locations and geometric structures of the manhole and sewer well covers. The algorithm also uses the Bayesian paradigm to obtain a posterior distribution for the marked point process conditional on the geo-referenced intensity image. A Reversible Jump Markov Chain Monte Carlo (RJMCMC) algorithm is implemented to simulate the posterior distribution. Finally, the maximum a posteriori (MAP) scheme is used to obtain an optimal detection. This algorithm has been examined by a set of mobile LiDAR point-clouds acquired by a RIEGL VMX-450 mobile laser scanning system. The results demonstrate the efficiency and feasibility of the proposed algorithm for automatically detecting road manhole and sewer well covers. ? 2013 IEEE.
语种	英语
出处	http://dx.doi.org/10.1109/GIT4NDM.2013.23
出版者	Institute of Electrical and Electronics Engineers Inc.
内容类型	其他
源URL	[http://dspace.xmu.edu.cn/handle/2288/86926]
专题	信息技术－会议论文
推荐引用方式 GB/T 7714	Yu, Y.,Li, J.,Guan, H.,et al. Automated detection of road manhole covers from mobile LiDAR point-clouds based on a marked point process. 2014-01-01.

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