Localization of Non-Linearly Modeled Autonomous Mobile Robots Using Out-of-Sequence Measurements

Localization of Non-Linearly Modeled Autonomous Mobile Robots Using Out-of-Sequence Measurements

This paper presents a state of the art of the estimation algorithms dealing with Out-of-Sequence (OOS) measurements for non-linearly modeled systems. The state of the art includes a critical analysis of the algorithm properties that takes into account the applicability of these techniques to autonom...

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Bibliographic Details
Main Authors: Jesus M. de la Cruz, Pablo Lanillos, Eva Besada-Portas, Jose A. Lopez-Orozco
Format: Article
Language:English
Published: MDPI AG 2012-02-01
Series:Sensors
Subjects:
autonomous mobile robots
location estimation
out-of-sequence
extended Kalman filter
Online Access:http://www.mdpi.com/1424-8220/12/3/2487/

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