Abstract
The development of the technology in the last decades, and in particular of the navigation and positioning systems, with the appearance of the Micro-Electro-Mechanical Systems (MEMS) allowed solutions of positioning and navigation low-cost. The objective of this work is the construction of a low-cost positioning solution for small sailboats. Kalman filtering is used to process data from an MEMS inertial sensor and a GPS receiver on small sailing vessels. The validation of the work is done by comparing the results obtained by the low-cost system with those obtained by higher precision systems.
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CITATION STYLE
Duque, J. V., da Conceição, V. P., & Teodoro, M. F. (2018). Kalman filtering applied to low-cost navigation systems: A preliminary approach. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10961 LNCS, pp. 509–524). Springer Verlag. https://doi.org/10.1007/978-3-319-95165-2_36
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