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Showing 1 to 9 of 9 for “"recursive Bayesian estimation"”.

  1. Autonomous Aerial Localization of Radioactive Point Sources via Recursive Bayesian Estimation and Contour Analysis

    … area of interest. Two algorithms—a grid-based recursive Bayesian estimator and a novel radiation contour analysis method—are presented to estimate the position of radioactive sources using simple gross gamma ray event count data from a nondirectional radiation detector. The latter procedure …

    vt Repository record for Autonomous Aerial Localization of Radioactive Point Sources via Recursive Bayesian Estimation and Contour Analysis (opens in a new tab)

  2. Simultaneous Estimation and Modeling of State-Space Systems Using Multi-Gaussian Belief Fusion

    This work describes a framework for simultaneous estimation and modeling (SEAM) of dynamic systems using non-Gaussian belief fusion by first presenting the relevant fundamental formulations, then building upon these formulations incrementally towards a more general and ubiquitous framework. …

    vt Repository record for Simultaneous Estimation and Modeling of State-Space Systems Using Multi-Gaussian Belief Fusion (opens in a new tab)

  3. Non-Field-of-View Acoustic Target Estimation

    … combination with other sensors within grid-based recursive estimation structure for tracking using nonlinear and non-Gaussian observations. Three approaches to NFOV target localization are investigated. These techniques estimate target positions within the Recursive Bayesian estimation (RBE) …

    vt Repository record for Non-Field-of-View Acoustic Target Estimation (opens in a new tab)

  4. A Bayesian Framework for Multi-Stage Robot, Map and Target Localization

    This thesis presents a generalized Bayesian framework for a mobile robot to localize itself and a target, while building a map of the environment. The proposed technique builds upon the Bayesian Simultaneous Robot Localization and Mapping (SLAM) method, to allow the robot to localize itself and the …

    vt Repository record for A Bayesian Framework for Multi-Stage Robot, Map and Target Localization (opens in a new tab)

  5. Tracking moving objects in surveillance video

    … frame by frame detections. This involves using recursive Bayesian estimation. The particle filter is a technique for implementing such a recursion and so it is examined in the context of both single target and combined multi-target tracking. A detailed examination of the operation of the single …

    cent-lancashire Repository record for Tracking moving objects in surveillance video (opens in a new tab)

  6. Developing and Testing a Novel De-centralized Cycle-free Game Theoretic Traffic Signal Controller: A Traffic Efficiency and Environmental Perspective

    … flow patterns. We developed and applied a recursive Bayesian estimation algorithm to estimate the source location (associated with traffic jam) of an airborne contaminant (aerosol) in a simulation environment. This algorithm was compared to the gradient descent algorithm and an extended …

    vt Repository record for Developing and Testing a Novel De-centralized Cycle-free Game Theoretic Traffic Signal Controller: A Traffic Efficiency and Environmental Perspective (opens in a new tab)

  7. Real-time Prediction of Dynamic Systems Based on Computer Modeling

    … computation in the image analysis and the field estimation processes and then is implemented into the GPU to accelerate the conventional full-field measurement techniques. The detail strategy of the GPU implementation is also developed and presented. The corresponding software package, which also …

    vt Repository record for Real-time Prediction of Dynamic Systems Based on Computer Modeling (opens in a new tab)

  8. Multi-Bayesian Approach to Stochastic Feature Recognition in the Context of Road Crack Detection and Classification

    This thesis introduces a multi-Bayesian framework for detection and classification of features in environments abundant with error-inducing noise. The approach takes advantage of Bayesian correction and classification in three distinct stages. The corrective scheme described here extracts useful …

    vt Repository record for Multi-Bayesian Approach to Stochastic Feature Recognition in the Context of Road Crack Detection and Classification (opens in a new tab)

  9. Stochastic Modelling and Approximate Bayesian Inference: Applications in Object Tracking and Intent Analysis

    As two fundamental pillars of Bayesian inference for time series, stochastic modelling and approximate Bayesian inference play crucial roles in providing accurate priors for underlying random processes and addressing the challenges of evaluating posterior distributions when exact computation is …

    cambridge Repository record for Stochastic Modelling and Approximate Bayesian Inference: Applications in Object Tracking and Intent Analysis (opens in a new tab)