SEIF SLAM

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).[1]

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