Abstract
Mapping techniques based on Wireless Range-Only Sensors (WROS) consist of locating the beacons using measurements of distance only. In this work we use WROS working at 2.4GHz band (same as WiFi, Wireless Fidelity), which has the disadvantage of being affected by a high noise. The goal of this paper is to study a noisy range-only sensor and its application in the development of mapping systems. A particle filter is used in order to map the environment, this technique has been applied successfully with other technologies, like Ultra-Wide Band (UWB), but we demonstrate that even using a noisier sensor this technique can be applied correctly.
Keywords
- Mobile Robot
- Inertial Measurement Unit
- Sequential Monte Carlo Algorithm
- Noisy Sensor
- IEEE Industrial Electronics Society
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Herranz, F., Ocaña, M., Bergasa, L.M., Hernández, N., Llamazares, A., Fernández, C. (2012). Mapping Based on a Noisy Range-Only Sensor. In: Moreno-Díaz, R., Pichler, F., Quesada-Arencibia, A. (eds) Computer Aided Systems Theory – EUROCAST 2011. EUROCAST 2011. Lecture Notes in Computer Science, vol 6928. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27579-1_54
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DOI: https://doi.org/10.1007/978-3-642-27579-1_54
Publisher Name: Springer, Berlin, Heidelberg
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