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Document Type : Latin Dissertation
Language of Document : English
Record Number : 149177
Doc. No : ET20969
Main Entry : Larry W. Rowe I1
Title Proper : Machine Vision Applications in UAVs for Autonomous Aerial Refueling and Runway Detection
Note : This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract : This research focuses on the application of Machine Vision (MV) techniques andalgorithms to the problems of Autonomous Aerial Refueling (AAR) and RunwayDetection. In particular, real laboratory based hardware was used in a simulatedenvironment to emulate real-life conditions for AAR. It was shown that the K-MeansClustering Algorithm solution to the Marker Detection problem could be executed at aframe rate of 30 Hz and it averaged a tracking error of less than one pixel while utilizingonly 0.16 of the image. It was also shown that the solution to the Runway Detectionproblem could be executed at a frame rate of 20 Hz which is acceptable for use in anUAV performing reconnaissance work. Data from these tests suggest that both softwareschemes are suitable for applications in moving vehicles and that the accuracy of themeasurements produced by the schemes make them suitable for UAV applications..
Subject : Electericl tess
: برق
electronic file name : TL44115.pdf
Title and statement of responsibility and : Machine Vision Applications in UAVs for Autonomous Aerial Refueling and Runway Detection [Thesis]
 
 
 
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