会议专题

DEVELOPMENT OF A SELF-POSITION RECOGNITION METHOD BY USING THE IMAGE PROCESSING AND 3D MODEL OF A WAREHOUSE FOR AUTOMATED GUIDED VEHICLE

In this paper, we propose a self-position recognition method, which uses image processing and three-dimension al (3D) modeling, for improving the navigation of an automated guided vehicle (AGV) in a warehouse. In this rec ognition method, a viewpoint in the 3D model is determined such that the model image from that viewpoint corre sponds to the image captured by a particular camera. The AGV determines its self-position using the estimated view point. Furthermore, the effectiveness of the proposed self-position recognition method is demonstrated by the experi ments using a mobile robot system which is adapted the proposed self-position recognition method.

Image Processing Three dimensional model Self-position recognition Automated Guided Vehicle

Masahiro Kameda Mitsuru Jindai Tomio Watanabeb Hideki Hase

Graduate School of System Engineering, Okayama Prefectural University,111 Kuboki, Soja, Okayama, 719 Faculty of Computer Science and System Engineering, Okayama Prefectural University,111 Kuboki, Soja, Nippon Yusoki Co. , Ltd. , 2- 1 -1 Higashikotari, Nagaokakyo, Kyoto,617 -8585, Japan

国际会议

The Ninth International Conference on Industrial Management(第九届工业管理国际会议 ICIM2008)

日本大阪

英文

549-556

2008-09-16(万方平台首次上网日期,不代表论文的发表时间)