A Real-Time Robust SLAM for Large-Scale Outdoor Environments

Abstract : The problem of simultaneous localization and mapping (SLAM) is still a challenging issue in large-scale unstructured dynamic environments. In this paper, we introduce a real-time reliable SLAM solution with the capability of closing the loop using exclusive laser data. In our algorithm, a universal motion model is presented for initial pose estimation. To further refine robot pose, we propose a novel progressive refining strategy using a pyramid grid-map based on Maximum Likelihood mapping framework. We demonstrate the success of our algorithm in experimental result by building a consistent map along a 1.2 km loop trajectory (an area about 100,000 m2) in an increasingly unstructured outdoor environment, with people and other clutter in real time.
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Contributeur : Fawzi Nashashibi <>
Soumis le : vendredi 29 octobre 2010 - 17:05:29
Dernière modification le : lundi 12 novembre 2018 - 11:00:30
Archivage à long terme le : dimanche 30 janvier 2011 - 02:40:21


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Jianping Xie, Fawzi Nashashibi, Michel Parent, Olivier Garcia-Favrot. A Real-Time Robust SLAM for Large-Scale Outdoor Environments. 17th ITS world congress (ITSwc'2010), Oct 2010, Busan, South Korea. pp.S_EU00913, ⟨10.1028/ITS.SLAM.Nashashibi⟩. ⟨hal-00530383⟩



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