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Simultaneous localization and mapping (SLAM): part II

IEEE Robotics and Automation Magazine, 2006
This paper discusses the recursive Bayesian formulation of the simultaneous localization and mapping (SLAM) problem in which probability distributions or estimates of absolute or relative locations of landmarks and vehicle pose are obtained.
T Bailey, H Durrant-Whyte
exaly   +3 more sources

Evaluations of different Simultaneous Localization and Mapping (SLAM) algorithms

open access: yesIECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society, 2012
Simultaneous Localization and Mapping (SLAM) algorithms with multiple autonomous robots have received considerable attention in recent years. In general, SLAM algorithms use odometry information and measurements from exteroceptive sensors of robots.
Tuna G.   +3 more
semanticscholar   +4 more sources

Simultaneous Localization and Mapping (SLAM)

Multi-robot Exploration for Environmental Monitoring, 2020
Over the past two decades or so, robotics researchers have thoroughly investigated one of the fundamental problems in robotics commonly known as Simultaneous Localization and Mapping (SLAM).
Kshitij Tiwari, Nak Young Chong
semanticscholar   +3 more sources

Review on simultaneous localization and mapping (SLAM)

2015 IEEE International Conference on Control System, Computing and Engineering (ICCSCE), 2015
Simultaneous localization and mapping (SLAM) is a technique applied in artificial intelligence mobile robot for a self-exploration in numerous geographical environment. SLAM becomes fundamental research area in recent days as it promising solution in solving most of problems which related to the self-exploratory oriented artificial intelligence mobile ...
Alif Ridzuan Khairuddin   +2 more
openaire   +2 more sources

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