{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,13]],"date-time":"2025-10-13T09:02:24Z","timestamp":1760346144647},"reference-count":19,"publisher":"World Scientific Pub Co Pte Lt","issue":"02","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Human. Robot."],"published-print":{"date-parts":[[2010,6]]},"abstract":"<jats:p> This paper describes and compares three different approaches to estimate simultaneous localization and mapping (SLAM) in dynamic outdoor environments. SLAM has been intensively researched in recent years in the field of robotics and intelligent vehicles, many approaches have been proposed including occupancy grid mapping method (Bayesian, Dempster-Shafer and Fuzzy Logic), Localization estimation method (edge or point features based direct scan matching techniques, probabilistic likelihood, EKF, particle filter). In this paper, a number of promising approaches and recent developments in this literature have been reviewed firstly in this paper. However, SLAM estimation in dynamic outdoor environments has been a difficult task since numerous moving objects exist which may cause bias in feature selection problem. In this paper, we proposed a possibilistic SLAM with RANSAC approach and implemented with three different matching algorithms. Real outdoor experimental result shows the effectiveness and efficiency of our approach. <\/jats:p>","DOI":"10.1142\/s021984361000212x","type":"journal-article","created":{"date-parts":[[2010,6,4]],"date-time":"2010-06-04T04:20:18Z","timestamp":1275625218000},"page":"315-330","source":"Crossref","is-referenced-by-count":9,"title":["SLAM ESTIMATION IN DYNAMIC OUTDOOR ENVIRONMENTS"],"prefix":"10.1142","volume":"07","author":[{"given":"ZHEYUAN","family":"LU","sequence":"first","affiliation":[{"name":"Graduate School of Science and Technology, Kumamoto University, Kumamoto, 860-8555, Japan"}]},{"given":"ZHENCHENG","family":"HU","sequence":"additional","affiliation":[{"name":"Graduate School of Science and Technology, Kumamoto University, Kumamoto, 860-8555, Japan"}]},{"given":"KEIICHI","family":"UCHIMURA","sequence":"additional","affiliation":[{"name":"Graduate School of Science and Technology, Kumamoto University, Kumamoto, 860-8555, Japan"}]}],"member":"219","published-online":{"date-parts":[[2011,11,20]]},"reference":[{"key":"rf1","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511811685"},{"key":"rf7","doi-asserted-by":"publisher","DOI":"10.1109\/70.817664"},{"key":"rf8","volume-title":"Data Fusion in Robotics and Machine Intelligence","author":"Elfes A.","year":"1992"},{"key":"rf9","volume":"14","author":"Pagac D.","journal-title":"IEEE Transactions on Robotics and Automation"},{"key":"rf10","doi-asserted-by":"publisher","DOI":"10.1016\/S0921-8890(01)00116-6"},{"key":"rf12","doi-asserted-by":"publisher","DOI":"10.1002\/(SICI)1097-4563(199703)14:3<179::AID-ROB3>3.0.CO;2-O"},{"key":"rf13","volume":"5","author":"Oriolo G.","journal-title":"IEEE Transactions on Systems, Man, and Cybernetics"},{"key":"rf15","doi-asserted-by":"publisher","DOI":"10.1023\/A:1025584807625"},{"key":"rf21","doi-asserted-by":"publisher","DOI":"10.1177\/0278364904049393"},{"key":"rf29","unstructured":"D. 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G.\u00a0Obinata and A.\u00a0Dutta (2007)\u00a0pp. 565\u2013582."},{"key":"rf54","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2007.1049"},{"key":"rf58","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2008.04.012"}],"container-title":["International Journal of Humanoid Robotics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S021984361000212X","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,6]],"date-time":"2019-08-06T21:00:00Z","timestamp":1565125200000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S021984361000212X"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2010,6]]},"references-count":19,"journal-issue":{"issue":"02","published-online":{"date-parts":[[2011,11,20]]},"published-print":{"date-parts":[[2010,6]]}},"alternative-id":["10.1142\/S021984361000212X"],"URL":"https:\/\/doi.org\/10.1142\/s021984361000212x","relation":{},"ISSN":["0219-8436","1793-6942"],"issn-type":[{"value":"0219-8436","type":"print"},{"value":"1793-6942","type":"electronic"}],"subject":[],"published":{"date-parts":[[2010,6]]}}}