iSAM Incremental Smoothing and Mapping Library
Miscellaneous, iSAM Incremental Smoothing and Mapping Library, 2010-2015, http://people.csail.mit.edu/kaess/isam/, July, 2015
Abstract
iSAM is an optimization library for sparse nonlinear problems as encountered in simultaneous localization and mapping (SLAM). The iSAM library provides efficient algorithms for batch and incremental optimization, recovering the exact least-squares solution. The library can easily be extended to new problems, and functionality for often encountered 2D and 3D SLAM problems is already provided. The iSAM algorithm was originally developed by Michael Kaess and Frank Dellaert at Georgia Tech.
BibTeX
@misc{-2015-109905,author = {Michael Kaess},
title = {iSAM Incremental Smoothing and Mapping Library},
booktitle = {iSAM Incremental Smoothing and Mapping Library, 2010-2015, http://people.csail.mit.edu/kaess/isam/},
month = {July},
year = {2015},
}
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