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HYBRID
2007
Springer
14 years 2 months ago
Robust, Optimal Predictive Control of Jump Markov Linear Systems Using Particles
Hybrid discrete-continuous models, such as Jump Markov Linear Systems, are convenient tools for representing many real-world systems; in the case of fault detection, discrete jumps...
Lars Blackmore, Askar Bektassov, Masahiro Ono, Bri...
ICCV
2001
IEEE
14 years 10 months ago
People Tracking Using Hybrid Monte Carlo Filtering
Particle filters are used for hidden state estimation with nonlinear dynamical systems. The inference of 3-d human motion is a natural application, given the nonlinear dynamics of...
Kiam Choo, David J. Fleet
ICCV
2001
IEEE
14 years 10 months ago
3D Object Tracking Using Shape-Encoded Particle Propagation
We present a comprehensive treatment of 3D object tracking by posing it as a nonlinear state estimation problem. The measurements are derived using the outputs of shape-encoded fi...
Hankyu Moon, Rama Chellappa, Azriel Rosenfeld
ICRA
2010
IEEE
88views Robotics» more  ICRA 2010»
13 years 6 months ago
Relaxed optimization for mode estimation in skid steering
— Skid-steered vehicles, by design, must skid in order to maneuver. The skidding causes the vehicle to behave discontinuously as well as introduces complications to the observati...
Timothy M. Caldwell, Todd D. Murphey
IPSN
2004
Springer
14 years 1 months ago
Distributed particle filters for sensor networks
Abstract. This paper describes two methodologies for performing distributed particle filtering in a sensor network. It considers the scenario in which a set of sensor nodes make m...
Mark Coates