Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 8 of 8 for “"Bayesian filter"”.
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Nonlinear filtering for narrow-band time delay estimation
… by independently tracking each TDoA using a Bayesian filter. This tracking is particularly useful for overcoming spatial aliasing, which results from tracking narrowband, high frequency sources. I develop a theoretical model for the evolution of each TDoA from a bound placed on the velocity …
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Simultaneous localization and tracking in wireless ad-hoc sensor networks
… the target's trajectory. LaSLAT is based on a Bayesian filter that updates a probability distribution over the parameters of interest as measurements arrive. The algorithm is distributable and requires a fixed amount of storage space with respect to the number of measurements it has …
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Interactive Bayesian identification of kinematic mechanisms
… formulation of this problem, using Bayesian filtering techniques to maintain a distributional estimate of the mechanism type and parameters. We begin by implementing a discrete Bayesian filter. We demonstrate the approach on a domain with four primitive and two composite mechanisms. …
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Learning-Based Methods for Spacecraft Dynamics Modeling, Filtering, and Predictive Control
… deep evidential regression, and a novel particle filter regression scheme. These non-parametric and uncertainty-aware methods allow previously unmodeled dynamics to be learned onboard a spacecraft in real-time with very little a priori knowledge of the system required, but come with increased …
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Intelligent video surveillance
… is based on rigid motion segmentation by Bayesian filtering. The Bayesian filter, which was proposed specially for this method and contributes to its novelty, is formulated as a generic approach, and then applied to the video analytics problems. The method is augmented with optional object …
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Mutual information-based gradient-ascent control for distributed robotics
… representations compatible with any type of Bayesian filter, but the computational complexities of the resulting decentralized controllers are independent with respect to the number of robots. Concerning the distributed approximations, we give two example consensus-based algorithms that run …
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Decentralized collaborative localization in urban environments with inter-agent ranging and 3D-mapping-aided (3DMA) GNSS
… this work upon a decentralized extended Kalman filter based collaborative localization framework and take advantage of the variable visibility of the sky for different agents. We propose a methodology for relaying satellite information between agents to augment the set of visible satellites on …
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Efficient solution of the Fokker-Planck Equation via smooth particle hydrodynamics for nonlinear estimation
… for use in nonlinear estimation. A novel Bayesian Filter based on the SPH simulated FPE is presented in detail, along with a resampling methodology developed to efficiently perform measurement likelihood updates without degeneracy of the SPH particle field occurring. This new FPE-SPH …