Kullback-Leibler Divergence-Based Differential Evolution Markov Chain Filter for Global Localization of Mobile Robots

Kullback-Leibler Divergence-Based Differential Evolution Markov Chain Filter for Global Localization of Mobile Robots

One of the most important skills desired for a mobile robot is the ability to obtain its own location even in challenging environments. The information provided by the sensing system is used here to solve the global localization problem. In our previous work, we designed different algorithms founded...

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Bibliographic Details
Main Authors: Fernando Martín, Luis Moreno, Santiago Garrido, Dolores Blanco
Format: Article
Language:English
Published: MDPI AG 2015-09-01
Series:Sensors
Subjects:
Markov chain Monte Carlo
Kullback-Leibler divergence
differential evolution
mobile robot
global localization
laser range finders
Online Access:http://www.mdpi.com/1424-8220/15/9/23431

Internet

http://www.mdpi.com/1424-8220/15/9/23431

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