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2010

Probabilistic structure matching for visual SLAM with a multi-camera rig

10 years 2 months ago
Probabilistic structure matching for visual SLAM with a multi-camera rig
We propose to use a multi-camera rig for simultaneous localization and mapping (SLAM), providing flexibility in sensor placement on mobile robot platforms while exploiting the stronger localization constraints provided by omni-directional sensors. In this context, we present a novel probabilistic approach to data association, that takes into account that features can also move between cameras under robot motion. Our approach circumvents the combinatorial data association problem by using an incremental expectation maximization algorithm. In the expectation step we determine a distribution over correspondences by sampling. In the maximization step, we find optimal parameters of a density over the robot motion and environment structure. By summarizing the sampling results in so-called virtual measurements, the resulting optimization simplifies to the equivalent optimization problem for known correspondences. We present results for simulated data, as well as for data obtained by a mobile...
Michael Kaess, Frank Dellaert
Added 10 Dec 2010
Updated 10 Dec 2010
Type Journal
Year 2010
Where CVIU
Authors Michael Kaess, Frank Dellaert
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