Title :
Developments in Mapping and Localization for Mobile Robots Using Bayesian Methods
Author :
Yavhe Castillo Martinez, Jose ; Gorrostieta Hurtado, Efren ; Vargas Soto, Jose Emilio ; Tovar Arriaga, Saul
Author_Institution :
CIDI-Fac. de Inf., Univ. Autonoma de Queretaro, Queretaro, Mexico
Abstract :
This article provides an overview of developments in mapping and localization for mobile robots using Bayesian methods, basing in Bayes method. During the past nine years the literature of these issues has grown tremendously in relation to this is broadly possible to show the advancements in these developments. The purpose of this article is to afford for non-specialists in the field a good presentation with various models, problems, approaches, and results into a proper context thereof and for specialists a better perception about the field emphasizing in Simultaneous Localization and Mapping.
Keywords :
Bayes methods; SLAM (robots); mobile robots; Bayes method; Bayesian methods; mobile robots; simultaneous localization and mapping; Bayes methods; Mobile robots; Navigation; Semantics; Simultaneous localization and mapping;
Conference_Titel :
Mechatronics, Electronics and Automotive Engineering (ICMEAE), 2014 International Conference on
DOI :
10.1109/ICMEAE.2014.42