Art

J-GLOBAL ID：200902268470506410   Reference number：06A0678610

Incremental RANSAC for Global Localization in Large-Scale Environments

大規模環境における大域的自己位置推定のための逐次的RANSAC手法

Author (2)： TANAKA KANJI (九大) ,  KONDO EIJI (九大)
Material： 電子情報通信学会論文誌 D  (IEICE Transactions on Information and Systems (Japanese Edition))
Volume： J89-D  Issue： 9  Page： 1976-1986  Publication year： Sep. 01, 2006 
JST Material Number： S0757C  ISSN： 1880-4535  Document type： Article
Article type： 原著論文  Country of issue： Japan (JPN)  Language： JAPANESE (JA)

Thesaurus term： *mobile robot ,...
Semi thesaurus term： RANSAC algorithm

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JST classification (2)： Motion and control of robots  (IC04012J) ,  Artificial intelligence  (JE08000Z)

Reference (19)：

• D. C. K. Yuen and B. A. MacDonald, “Vision-based localization algorithm based on landmark matching, triangulation, reconstruction, and comparison,” IEEE Trans. Robotics, vol.21, no.2, pp. 217-226, 2005.
• D. Wolf and G. S. Sukhatme, “Online simultaneous localization and mapping in dynamic environments,” IEEE Int. Conf. Robotics and Automation, pp. 1301-1307, 2004.
• J. Neira and J. D. Tardós, “Data association in stochastic mapping using the joint compatibility test,” IEEE Trans. Robot. Autom., vol.17, no.6, pp. 890-897, 2001.
• J.-S. Gutmann and D. Fox, “An experimental comparison of localization methods continued,” IEEE/RSJ Int. Conf. Intelligent Robots and Systems, pp. 454-459, 2002.
• S. Thrun, D. Fox, W. Burgard, and F. Dellaert, “Robust monte carlo localization for mobile robots,” Artifi. Intell. J., vol.128, no.1-2, pp. 99-141, 2001.

Terms in the title (6)： 大規模 ,  環境 ,  自己位置推定 ,  逐次 ,  RANSAC ,  手法