RT Journal Article
T1 Online Estimation of 2D Wind Maps for Olfactory Robots
A1 González-Monroy, Javier
A1 Jaimez, Mariano
A1 González-Jiménez, Antonio Javier
K1 Circulación atmosférica
AB This work introduces a novel solution to approximate in real time the 2D wind flow present in a geometrically known environment. It is grounded on the probabilisticframework provided by a Markov random field and enables theestimation of the most probable wind field from a set of noisy observations, for the case of incompressible and steady wind flow. Our method delivers reasonably precise results without falling into common unrealistic assumptions like homogeneous windflow, absence of obstacles, etc., and performs very efficiently (lessthan 0.5 seconds for an environment represented with a 100x100cell grid). This approach is then quite suitable for applicationsthat require real-time estimation of the wind flow, as for example, the localization of gas sources, prediction of the gas dispersion, or the mapping of the gas distribution of different chemicals released in a given scenario.
YR 2017
FD 2017-06-15
LK http://hdl.handle.net/10630/13889
UL http://hdl.handle.net/10630/13889
LA eng
NO Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech.
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 25 ene 2026