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» Neural Tractography Using An Unscented Kalman Filter
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ICASSP
2008
IEEE
13 years 11 months ago
On nonlinear transformations of stochastic variables and its application to nonlinear filtering
A class of nonlinear transformation-based filters (NLTF) for state estimation is proposed. The nonlinear transformations that can be used include first (TT1) and second (TT2) or...
Fredrik Gustafsson, Gustaf Hendeby
AUSAI
2004
Springer
13 years 10 months ago
Enhanced Importance Sampling: Unscented Auxiliary Particle Filtering for Visual Tracking
Abstract. The particle filter has attracted considerable attention in visual tracking due to its relaxation of the linear and Gaussian restrictions in the state space model. It is...
Chunhua Shen, Anton van den Hengel, Anthony R. Dic...
MIA
2010
92views more  MIA 2010»
13 years 3 days ago
A filtered approach to neural tractography using the Watson directional function
James G. Malcolm, Oleg V. Michailovich, Sylvain Bo...
ICRA
2007
IEEE
190views Robotics» more  ICRA 2007»
13 years 11 months ago
A UPF-UKF Framework For SLAM
— In this paper we propose a SLAM framework which is based on an algorithm that combines an Unscented Particle Filter (UPF) and Unscented Kalman Filters (UKFs). A UPF is used to ...
Xiang Wang, Hong Zhang
ICRA
2007
IEEE
128views Robotics» more  ICRA 2007»
13 years 11 months ago
Leader-Follower Formations: Uncalibrated Vision-Based Localization and Control
— This paper focuses on leader-follower formations of mobile robots equipped with panoramic cameras and extend earlier works in the literature addressing both the visionbased loc...
Gian Luca Mariottini, Fabio Morbidi, Domenico Prat...