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Showing 1 to 4 of 4 for “"Rao-Blackwellized particle filters"”.
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Recovering sample diversity in Rao-Blackwellized particle filters for simultaneous localization and mapping
… impoverishment, a well-known failure mode of the Rao-Blackwellized particle filter (RBPF) in simultaneous localization and mapping (SLAMI) situations that arises when precise feature measurements yield a limited perceptual distribution relative to a motion-based proposal distribution. One set of …
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Hidden states, hidden structures: Bayesian learning in time series models
… estimation methods based on the variable rate particle filter are presented for the general linear case (chapter 3) and a new method of parameter estimation based on Particle MCMC methods is introduced and tested against an alternative method using reversible-jump MCMC (chapter 4). …
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Robust real-time locolization and mapping in single and multi-robot systems
… problem. The approach is based on the so called Rao-Blackwellized particle filters, which is a new technique in the context of the robotic SLAM problem. In contrast to the FastSLAM algorithm – the best known implementation of Rao-Blackwellized particle filters, our approach neither represents …
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Topics in Machining with Industrial Robot Manipulators and Optimal Motion Control
… and orientation of the robot tool. Kalman Filters and Rao-Blackwellized Particle Filters are employed to the purpose of sensor fusion of internal robot measurements and measurements from an inertial measurement unit for estimation of the desired states. The approaches considered are fully …