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    請使用永久網址來引用或連結此文件: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/76160

    題名: Robot Visual Simultaneous Localization and Mapping in Dynamic Environments
    作者: Wang, Yin-Tien;Chi, Chen-Tung;Hung, Shiun-Kai
    貢獻者: 淡江大學機械與機電工程學系
    關鍵詞: Visual Simultaneous Localization;and Mapping (vSLAM);Speeded-Up Robust Features;SURF;Moving Object Detection;MOD
    日期: 2012-04-15
    上傳時間: 2012-05-02 18:51:29 (UTC+8)
    出版者: Valencia: American Scientific Publishers
    摘要: This paper focuses on the problem of moving object detection (MOD) in robot visual simultaneous localization and mapping (vSLAM) system. A MOD algorithm is designed using the spatial geometric constraint of the stationary landmarks in the environment. Based on the MOD algorithm, the moving objects can be discriminated from the stationary landmarks. The proposed MOD algorithm is independent of the state estimator and capable of dealing with the kidnapping problem in SLAM automatically. Meanwhile, the method of speeded-up robust feature (SURF) is employed in the algorithm to provide a robust detection for image features as well as a better description of landmarks in the map of a visual SLAM system. Experiments are carried out on hand-held camera sensors to verify the performances of the proposed algorithms for SLAM tasks in the indoor environments. The results show that the integration of MOD and SURF is efficient to improve the robustness of robot SLAM system.
    關聯: Advanced Science Letters 8, pp.229-234
    DOI: 10.1166/asl.2012.2448
    顯示於類別:[機械與機電工程學系暨研究所] 期刊論文


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