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ARTIFICIAL LANDMARK SELF-LOCALIZATION FOR AGRICULTURAL VEHICLE FIELD ROAD NAVIGATION USING OMNIDIRECTIONAL VISION

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成果类型:
期刊论文、会议论文
作者:
Li, Ming*;Imou, Kenji;Wakabayashi, Katsuhiro;Yokoyama, Shinya
通讯作者:
Li, Ming
作者机构:
[Li, Ming] Hunan Agr Univ, Coll Engn, Changsha 410128, Hunan, Peoples R China.
[Wakabayashi, Katsuhiro; Li, Ming; Imou, Kenji; Yokoyama, Shinya] Univ Tokyo, Grad Sch Agr & Life Sci, Tokyo 1138657, Japan.
通讯机构:
[Li, Ming] H
Hunan Agr Univ, Coll Engn, Changsha 410128, Hunan, Peoples R China.
语种:
英文
关键词:
Agricultural vehicle;Localization;Navigation.;Omnidirectional vision
期刊:
Intelligent Automation and Soft Computing
ISSN:
1079-8587
年:
2010
卷:
16
期:
6
页码:
1033-1042
会议名称:
World Automation Congress 2010
会议时间:
2010-09-19
会议地点:
日本神户
基金类别:
Grants-in-Aid for Scientific ResearchMinistry of Education, Culture, Sports, Science and Technology, Japan (MEXT)Japan Society for the Promotion of ScienceGrants-in-Aid for Scientific Research (KAKENHI) [19380146] Funding Source: KAKEN
机构署名:
本校为第一且通讯机构
院系归属:
工学院
摘要:
This paper introduces an artificial landmark self-localization method using omnidirectional vision for agricultural vehicles field road navigation. We propose a landmark model and the algorithm to track landmark and calculate the absolute location of camera based on omnidirectional image. Red and blue landmark pixels beyond the threshold were extracted as a small area and the center of gravity of the extracted small area was calculated representing the landmark position candidates. The distance between landmark and camera in the image was estimated and transformed the image distance to spatial...

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