Double Window Optimisation for Constant Time Visual SLAM

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Uploaded by on Aug 12, 2011

Results from the paper presented at ICCV 2011 by Hauke Strasdat, Andrew Davison, Jose Maria Montiel (University of Zaragoza) and Kurt Konolige (Willow Garage) on a flexible new optimisation framework for visual SLAM which achieves both high local accuracy and high scalability due to a double window approach. The video shows various applications in monocular, stereo and RGBD SLAM.

The source code is availabel here: https://github.com/strasdat/ScaViSLAM

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