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Attentional Landmarks and Active Gaze Control for Visual SLAM
KTH, School of Computer Science and Communication (CSC), Computer Vision and Active Perception, CVAP.ORCID iD: 0000-0002-1170-7162
2008 (English)In: IEEE Transactions on Robotics, special issue on visual SLAM, ISSN 1552-3098, Vol. 24, no 5, 1054-1065 p.Article in journal (Refereed) Published
Abstract [en]

This paper is centered around landmark detection, tracking, and matching for visual simultaneous localization and mapping using a monocular vision system with active gaze control. We present a system that specializes in creating and maintaining a sparse set of landmarks based on a biologically motivated feature-selection strategy. A visual attention system detects salient features that are highly discriminative and ideal candidates for visual landmarks that are easy to redetect. Features are tracked over several frames to determine stable landmarks and to estimate their 3-D position in the environment. Matching of current landmarks to database entries enables loop closing. Active gaze control allows us to overcome some of the limitations of using a monocular vision system with a relatively small field of view. It supports 1) the tracking of landmarks that enable a better pose estimation, 2) the exploration of regions without landmarks to obtain a better distribution of landmarks in the environment, and 3) the active redetection of landmarks to enable loop closing in situations in which a fixed camera fails to close the loop. Several real-world experiments show that accurate pose estimation is obtained with the presented system and that active camera control outperforms the passive approach.

Place, publisher, year, edition, pages
2008. Vol. 24, no 5, 1054-1065 p.
Keyword [en]
Active camera control, landmark selection, mobile robotics, saliency, visual attention, visual simultaneous localization and mapping (SLAM), simultaneous localization, mobile robots, model
National Category
Computer and Information Science
URN: urn:nbn:se:kth:diva-17966DOI: 10.1109/tro.2008.2004977ISI: 000260865400012ScopusID: 2-s2.0-56049103514OAI: diva2:336011
QC 20100525Available from: 2010-08-05 Created: 2010-08-05 Last updated: 2012-01-17Bibliographically approved

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