Abstract
In this paper, we propose a localization system that can combine data supplied by different sensors, even if they are not synchronized, or if they do not provide data at all times. Particularly, we have used the following sensors: a 2D laser range finder, a Wi-Fi positioning system (designed by us), and a magnetic compass. Real world experiments have shown that our algorithm is accurate, robust, and fast, and that it can take advantage of the strengths of each sensor, and minimise its weaknesses.
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Canedo-Rodriguez, A. et al. (2013). Robust Multi-sensor System for Mobile Robot Localization. In: Ferrández Vicente, J.M., Álvarez Sánchez, J.R., de la Paz López, F., Toledo Moreo, F.J. (eds) Natural and Artificial Computation in Engineering and Medical Applications. IWINAC 2013. Lecture Notes in Computer Science, vol 7931. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38622-0_10
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DOI: https://doi.org/10.1007/978-3-642-38622-0_10
Publisher Name: Springer, Berlin, Heidelberg
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