Safety of Flight Prediction for Small Unmanned Aerial Vehicles Using Dynamic Bayesian Networks

Safety of Flight Prediction for Small Unmanned Aerial Vehicles Using Dynamic Bayesian Networks

This thesis compares three variations of the Bayesian network as an aid for decision-making using uncertain information. After reviewing the basic theory underlying probabilistic graphical models and Bayesian estimation, the thesis presents a user-defined static Bayesian network, a static Bayesian n...

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Bibliographic Details
Main Author: Burns, Meghan Colleen
Other Authors: Aerospace and Ocean Engineering
Format: Others
Published: Virginia Tech 2018
Subjects:
Dynamic Bayesian Network
Unmanned Aerial Systems
Risk
Online Access:http://hdl.handle.net/10919/83381

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