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Odometry and Laser Scanner Fusion Based on a Discrete Extended Kalman Filter for Robotic Platooning Guidance

Authors :
Fernando Valdés
Daniel Pizarro
Marta Marrón-Romera
Carlos Santos
Felipe Espinosa
Javier Dongil
Source :
Sensors, Vol 11, Iss 9, Pp 8339-8357 (2011)
Publication Year :
2011
Publisher :
MDPI AG, 2011.

Abstract

This paper describes a relative localization system used to achieve the navigation of a convoy of robotic units in indoor environments. This positioning system is carried out fusing two sensorial sources: (a) an odometric system and (b) a laser scanner together with artificial landmarks located on top of the units. The laser source allows one to compensate the cumulative error inherent to dead-reckoning; whereas the odometry source provides less pose uncertainty in short trajectories. A discrete Extended Kalman Filter, customized for this application, is used in order to accomplish this aim under real time constraints. Different experimental results with a convoy of Pioneer P3-DX units tracking non-linear trajectories are shown. The paper shows that a simple setup based on low cost laser range systems and robot built-in odometry sensors is able to give a high degree of robustness and accuracy to the relative localization problem of convoy units for indoor applications.

Details

Language :
English
ISSN :
14248220
Volume :
11
Issue :
9
Database :
Directory of Open Access Journals
Journal :
Sensors
Publication Type :
Academic Journal
Accession number :
edsdoj.3fdb13efcb6495a9bf163a957fd72af
Document Type :
article
Full Text :
https://doi.org/10.3390/s110908339