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ICRA
2009
IEEE

Visual topological SLAM and global localization

10 years 4 days ago
Visual topological SLAM and global localization
— Visual localization and mapping for mobile robots has been achieved with a large variety of methods. Among them, topological navigation using vision has the advantage of offering a scalable representation, and of relying on a common and affordable sensor. In previous work, we developed such an incremental and real-time topological mapping and localization solution, without using any metrical information, and by relying on a Bayesian visual loop-closure detection algorithm. In this paper, we propose an extension of this work by integrating metrical information from robot odometry in the topological map, so as to obtain a globally consistent environment model. Also, we demonstrate the performance of our system on the global localization task, where the robot has to determine its position in a map acquired beforehand.
Adrien Angeli, Stéphane Doncieux, Jean-Arca
Added 23 May 2010
Updated 23 May 2010
Type Conference
Year 2009
Where ICRA
Authors Adrien Angeli, Stéphane Doncieux, Jean-Arcady Meyer, David Filliat
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