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SEIF SLAM

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Sparse extended information filter in robotics
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In robotics, the SEIF SLAM is the use of the sparse extended information filter (SEIF) to solve the simultaneous localization and mapping by maintaining a posterior over the robot pose and the map. Similar to GraphSLAM, the SEIF SLAM solves the SLAM problem fully, but is an online algorithm (GraphSLAM is offline).

References

  1. Thrun, S.; Burgard, W.; Fox, D. (2005). Probabilistic Robotics. Cambridge: The MIT Press. ISBN 0-262-20162-3.
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