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.
This article is issued from Wikipedia - version of the 7/5/2016. The text is available under the Creative Commons Attribution/Share Alike but additional terms may apply for the media files.