Air-ground cooperative environment modeling with bounded elevation map
Du WQ(杜文强)1,2; Gu F(谷丰); Zhou H(周浩)2; Di CL(狄春雷)2; Xiong JF(熊俊峰)2; He YQ(何玉庆)2
2018
会议日期June 30 - July 6, 2018
会议地点Cordoba, Granada, And Seville, Spain
关键词fusion multiple robots cooperation ESMF elevation map the error bound
页码422-428
英文摘要UGVs' application are always restrained in complicated environment because of its limited perception ability. One of the solution is cooperation with UAV which has large perception scale. Thus, the fusion of the air-ground perceptive information is the key problem. Focused on this problem, the ESMF based 2.5D elevation modeling method is first proposed for its bound rather than probabilistic information is robust and reliable for path planning of UGVs. In the second, the fast fusion method between air and ground vehicles is designed, which achieve data fusion by updating the perception of UGV with UAV instead of intersecting the two observation sets. In the third the traversability is analyzed based on the elevation model described with bounded information, which shows the robust and reliable of the proposed method. In the last based on two typical limited perception ability: Negative and ultrahigh obstacle an experiment is designed to verify the feasibility and validity of the propose method.
源文献作者City University of Hongkong ; University of Cordoba ; University of Granada ; University of Seville
产权排序1
会议录8th International Conference on Information Science and Technology, ICIST 2018
会议录出版者IEEE
会议录出版地New York
语种英语
ISBN号978-1-5386-3781-4
WOS记录号WOS:000502264900067
内容类型会议论文
源URL[http://ir.sia.cn/handle/173321/22728]  
专题沈阳自动化研究所_机器人学研究室
通讯作者Du WQ(杜文强)
作者单位1.University of Chinese Academy of Sciences, Beijing 100049, China
2.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
推荐引用方式
GB/T 7714
Du WQ,Gu F,Zhou H,et al. Air-ground cooperative environment modeling with bounded elevation map[C]. 见:. Cordoba, Granada, And Seville, Spain. June 30 - July 6, 2018.
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