We propose a novel source localization model employing a light source as the target/source to be localized and an UGV carrying an array of photodiodes to sense ...
Aug 17, 2016 ¡¤ ... of adaptive particle filters based on an field ... localization accuracy but at the expense of robot performance to operate in real time.
authors of [SBFC03] propose to use particle filters instead of Kalman filters in a sample ... particle filters for online nonlinear/non-gaussian bayesian tracking ...
of Particle Filters for Robotic Source Localization,¡± IEEE Access, vol. ... Myung, ¡°GPU-Based Real-Time RGB-D 3D. SLAM,¡± in Proceedings of the International ...
A tremendous amount of studies have been conducted, in which large acceleration factors compared with the conventional CPU platform have been observed. In this ...
[20] investigate the divergence of a particle filter for the point-vortex model. They introduce backtracking particle filters and show that the filters ...
some form of GPU-based acceleration from the computational geometry literature [76]. ... McElwain, ¡°4D CAF for localization of co- located, moving, and RF ...
From an application standpoint, we propose a novel source localization model to estimate the position of a source in a noisy environment using the particle ...
Abstract: The particle filter (PF) algorithm is one of the most commonly used algorithms for maneuvering target tracking. The traditional PF maps from multi- ...
Several effective techniques exist that are widely used for vision based tracking applications such as particle filters [1], mean shift [2] and optical flow [3] ...