Title :
Thermal localization
Author :
Bencatel, Ricardo
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Porto, Porto, Portugal
Abstract :
This paper develops a particle filter locator for atmospheric thermal flows. The underlying thermal model is more detailed and general than the Gaussian models typically used. The implemented particle filter is a regularized and adaptive version. This filter handles thermals global localization and the underlying non-linear models, providing excellent results.
Keywords :
aerospace control; mobile robots; particle filtering (numerical methods); path planning; remotely operated vehicles; Gaussian model; atmospheric thermal flow; nonlinear model; particle filter locator; thermal localization; Adaptation model; Aircraft; Atmospheric modeling; Estimation; Particle filters; Unmanned aerial vehicles; Wind speed; Particle Filter; Soaring; Thermal localization; Unmanned Aerial Vehicle;
Conference_Titel :
Autonomous and Intelligent Systems (AIS), 2010 International Conference on
Conference_Location :
Povoa de Varzim
Print_ISBN :
978-1-4244-7104-1
DOI :
10.1109/AIS.2010.5547048
