DocumentCode
624531
Title
A comparison of two measurement homographic techniques for aerial imagery
Author
Seang Cau ; Dehghan, Afshin ; Bakhtiari, Majid ; Mehrandezh, Mehran ; Paranjape, Raman
fYear
2013
fDate
5-8 May 2013
Firstpage
1
Lastpage
4
Abstract
This paper compares the results of two different homographic techniques for 2-Dimensional measurement of physical distances. Images are taken using a digital camera attached to an unmanned aerial vehicle (UAV).The UAV is flown over a mock accident scene and images of the scene are captured for post flight analysis. The images are analyzed and distances between various points are calculated using two different homographic techniques: geometric triangulation and genetic estimation. Overall, this work is directed at examining the potential to use photogrammetric techniques to measure realistic accident scenes as a tool to augment and support accident scene reconstruction which typically relies on physically measuring distances in the accident scene.
Keywords
accidents; autonomous aerial vehicles; cameras; distance measurement; genetic algorithms; image reconstruction; photogrammetry; remote sensing; UAV; accident scene reconstruction; aerial imagery; digital camera; genetic estimation techniques; geometric triangulation techniques; measurement homographic techniques; mock accident scene; photogrammetric techniques; physical distance measurement; post flight analysis; two-dimensional measurement; unmanned aerial vehicle; Calibration; Cameras; Estimation; Genetic algorithms; Genetics; Measurement uncertainty; 2-Dimensional Geometric Triangulation; Genetic Algorithm; Homography; Image Processing; UAV; Unmanned Aerial Vehicle;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical and Computer Engineering (CCECE), 2013 26th Annual IEEE Canadian Conference on
Conference_Location
Regina, SK
ISSN
0840-7789
Print_ISBN
978-1-4799-0031-2
Electronic_ISBN
0840-7789
Type
conf
DOI
10.1109/CCECE.2013.6567827
Filename
6567827
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