Automatic relocalisation and loop closing for real-time monocular SLAM

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dc.contributor.authorWilliams, B.
dc.contributor.authorKlein, G.
dc.contributor.authorReid, I.
dc.date.issued2011
dc.description.abstractMonocular SLAM has the potential to turn inexpensive cameras into powerful pose sensors for applications such as robotics and augmented reality. We present a relocalization module for such systems which solves some of the problems encountered by previous monocular SLAM systems-tracking failure, map merging, and loop closure detection. This module extends recent advances in keypoint recognition to determine the camera pose relative to the landmarks within a single frame time of 33 ms. We first show how this module can be used to improve the robustness of these systems. Blur, sudden motion, and occlusion can all cause tracking to fail, leading to a corrupted map. Using the relocalization module, the system can automatically detect and recover from tracking failure while preserving map integrity. Extensive tests show that the system can then reliably generate maps for long sequences even in the presence of frequent tracking failure. We then show that the relocalization module can be used to recognize overlap in maps, i.e., when the camera has returned to a previously mapped area. Having established an overlap, we determine the relative pose of the maps using trajectory alignment so that independent maps can be merged and loop closure events can be recognized. The system combining all of these abilities is able to map larger environments and for significantly longer periods than previous systems.
dc.description.statementofresponsibilityBrian Williams, Georg Klein and Ian Reid
dc.identifier.citationIEEE Transactions on Pattern Analysis and Machine Intelligence, 2011; 33(9):1699-1712
dc.identifier.doi10.1109/TPAMI.2011.41
dc.identifier.issn0162-8828
dc.identifier.issn1939-3539
dc.identifier.orcidReid, I. [0000-0001-7790-6423]
dc.identifier.urihttp://hdl.handle.net/2440/88060
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers
dc.rights© 2011 IEEE
dc.source.urihttps://doi.org/10.1109/tpami.2011.41
dc.subjectTracking
dc.subject3D/stereo scene analysis
dc.subjectautonomous vehicles
dc.titleAutomatic relocalisation and loop closing for real-time monocular SLAM
dc.typeJournal article
pubs.publication-statusPublished

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