This article gives an overview of simultaneous localization and mapping (SLAM), that is, probabilistic methods to generate a 2D or 3D map of unknown areas under imperfect localization. The article provides a survey of the theoretical basis of SLAM as well as the core background information about the underlying techniques for implementing actual SLAM systems.
@incollection{Birk2016slamoverview
title = {Simultaneous Localization and Mapping (SLAM)},
author = {Birk, Andreas and Pfingsthorn, Max},
editor = {Webster, John G.},
publisher = {John Wiley & Sons, Inc.},
isbn = {9780471346081},
url = {http://dx.doi.org/10.1002/047134608X.W8322},
doi = {10.1002/047134608X.W8322},
keywords = {autonomous driving, Geographic Information Systems (GIS), localization, mapping, mosaicking, optimization, registration, robot, uncertainty},
booktitle = {Wiley Encyclopedia of Electrical and Electronics Engineering},
year = {2016},
}