Kalman filtering: with real-time applications (2nd ed.)
Kalman filtering: with real-time applications (2nd ed.)
Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence
Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence
Fundamentals of statistical signal processing: estimation theory
Fundamentals of statistical signal processing: estimation theory
Fuzzy engineering
Information Sciences: an International Journal
Tracking with Text-Based Messages
IEEE Intelligent Systems
Radar tracking for air surveillance in a stressful environment using a fuzzy-gain filter
IEEE Transactions on Fuzzy Systems
A fuzzy MHT algorithm applied to text-based information tracking
IEEE Transactions on Fuzzy Systems
Real-time motion planning of an autonomous mobile manipulator using a fuzzy adaptive Kalman filter
Robotics and Autonomous Systems
Distributed Kalman filtering for cascaded systems
Engineering Applications of Artificial Intelligence
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In this paper, the authors propose a fuzzy-controlled Kalman filtering scheme applied to stereo visual tracking. Two control levels have been designed: first, a fuzzy methodology allows the filter to fine tune to actual conditions by estimating the plant noise covariance matrix in every time instant. Second, a fuzzy control stage based on a fuzzy feedback system is used to reinitiate the filter in those cases in which a track is lost. The principal coordinates paradigm has been used for the filter, but the methodology here proposed carries over easily to other more popular Kalman schemes.