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Landmark direction angle estimation based on omnidirectional image

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成果类型:
会议论文
作者:
Ming Li;Zhonghua Liu;Jianan Huang;Kenji Imou
作者机构:
College of Engineering, Hunan Agricultural University Changsha,Hunan Province,China
Natural Products Institute Hunan Agricultural University Changsha,Hunan Province,China
Graduate School of Agricultural and Life Sciences The University of Tokyo Tokyo,Japan
语种:
英文
关键词:
Robot;Omnidirectional vision;Landmark;Direction anlge
年:
2010
页码:
1128-1133
会议名称:
2010 IEEE信息与自动化国际会议(ICIA 2010)
会议论文集名称:
2010 IEEE信息与自动化国际会议(ICIA 2010)论文集
会议时间:
2010-06-20
会议地点:
哈尔滨
会议赞助商:
中国自动化学会
机构署名:
本校为第一机构
院系归属:
工学院
摘要:
In order to estimate landmark direction angle to localize robot in an artificial environment based on omnidirectional image, this paper introduces the method about low pass filter noise elimination, artificial landmark features detection and landmark direction angle estimation algorithms. Landmark feature detection proposed that red landmark pixels beyond the threshold were extracted as a small area and the center of gravity was calculated for the extracted small area representing the candidate of one landmark. The blue patch provides as compen...

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