Enhanced ICP for the registration of large-scale 3D environment models: An experimental study
Han JD(韩建达); Yin P(殷鹏); He YQ(何玉庆); Gu F(谷丰)
刊名Sensors (Switzerland)
2016
卷号16期号:2页码:1-15
关键词3D model registration multiple heterogeneous mobile robots enhanced ICP
ISSN号1424-8220
通讯作者殷鹏 ; 何玉庆
产权排序1
中文摘要One of the main applications of mobile robots is the large-scale perception of the outdoor environment. One of the main challenges of this application is fusing environmental data obtained by multiple robots, especially heterogeneous robots. This paper proposes an enhanced iterative closest point (ICP) method for the fast and accurate registration of 3D environmental models. First, a hierarchical searching scheme is combined with the octree-based ICP algorithm. Second, an early-warning mechanism is used to perceive the local minimum problem. Third, a heuristic escape scheme based on sampled potential transformation vectors is used to avoid local minima and achieve optimal registration. Experiments involving one unmanned aerial vehicle and one unmanned surface vehicle were conducted to verify the proposed technique. The experimental results were compared with those of normal ICP registration algorithms to demonstrate the superior performance of the proposed method.
WOS标题词Science & Technology ; Physical Sciences ; Technology
类目[WOS]Chemistry, Analytical ; Electrochemistry ; Instruments & Instrumentation
研究领域[WOS]Chemistry ; Electrochemistry ; Instruments & Instrumentation
关键词[WOS]SPIN IMAGE
收录类别SCI ; EI
语种英语
WOS记录号WOS:000371787800098
内容类型期刊论文
源URL[http://ir.sia.cn/handle/173321/17711]  
专题沈阳自动化研究所_机器人学研究室
推荐引用方式
GB/T 7714
Han JD,Yin P,He YQ,et al. Enhanced ICP for the registration of large-scale 3D environment models: An experimental study[J]. Sensors (Switzerland),2016,16(2):1-15.
APA Han JD,Yin P,He YQ,&Gu F.(2016).Enhanced ICP for the registration of large-scale 3D environment models: An experimental study.Sensors (Switzerland),16(2),1-15.
MLA Han JD,et al."Enhanced ICP for the registration of large-scale 3D environment models: An experimental study".Sensors (Switzerland) 16.2(2016):1-15.
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