Date : 2016. 11. 28 (Mon) 10:00 A.M.
Locate : EB5. 533
Presenter : Jooyeob Kim
Title : Simultaneous Localisation and Mapping (SLAM): Part I The Essential Algorithms
Author : Hugh Durrant-Whyte
This tutorial provides an introduction to Simultaneous Localisation and Mapping (SLAM) and the extensive research on SLAM that has been undertaken over the past decade. SLAM is the process by which a mobile robot can build a map of an environment and at the same time use this map to compute it's own location. The past decade has seen rapid and exciting progress in solving the SLAM problem together with many compelling implementations of SLAM methods. Part I of this tutorial (this paper), describes the probabilistic form of the SLAM problem, essential solution methods and significant implementations. Part II of this tutorial will be concerned with recent advances incomputational methods and new formulations of the SLAM problem for large scale and complex environments.
IEEE Robotics and Automation Conference 2006. tutorial
Article source: http://eslab.cnu.ac.kr/en/NSL/86-Simultaneous-Localisation-and-Mapping-SLAM-Part-I-The-Essential-Algorithms.html