Sensors 2009, 9(12), 10217-10243; doi:10.3390/s91210217
Article

Sonar Sensor Models and Their Application to Mobile Robot Localization

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Received: 2 November 2009; in revised form: 18 November 2009 / Accepted: 14 December 2009 / Published: 17 December 2009
(This article belongs to the Special Issue State-of-the-Art Sensors Technology in Spain)
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract: This paper presents a novel approach to mobile robot localization using sonar sensors. This approach is based on the use of particle filters. Each particle is augmented with local environment information which is updated during the mission execution. An experimental characterization of the sonar sensors used is provided in the paper. A probabilistic measurement model that takes into account the sonar uncertainties is defined according to the experimental characterization. The experimental results quantitatively evaluate the presented approach and provide a comparison with other localization strategies based on both the sonar and the laser. Some qualitative results are also provided for visual inspection.
Keywords: sonar; mobile robot localization; particle filter
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MDPI and ACS Style

Burguera, A.; González, Y.; Oliver, G. Sonar Sensor Models and Their Application to Mobile Robot Localization. Sensors 2009, 9, 10217-10243.

AMA Style

Burguera A, González Y, Oliver G. Sonar Sensor Models and Their Application to Mobile Robot Localization. Sensors. 2009; 9(12):10217-10243.

Chicago/Turabian Style

Burguera, Antoni; González, Yolanda; Oliver, Gabriel. 2009. "Sonar Sensor Models and Their Application to Mobile Robot Localization." Sensors 9, no. 12: 10217-10243.

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