DocumentCode
1815350
Title
Azimuth estimation of distant, approaching airplane in See-and-avoid Systems
Author
Zsedrovits, Tamas ; Zarandy, Akos ; Vanek, Balint ; Peni, Tamas ; Bokor, Jozsef ; Roska, Tamas
Author_Institution
Fac. of Inf. Technol., Pazmany Peter Catholic Univ., Budapest, Hungary
fYear
2012
fDate
29-31 Aug. 2012
Firstpage
1
Lastpage
6
Abstract
Visual detection based sense and avoid problem is more and more important nowadays as UAVs are getting closer to entering remotely piloted or autonomously into the airspace. It is critical to gain as much information as possible from the silhouettes of the distant aircrafts. In our paper, we investigate the reachable accuracy of the orientation information of remote planes under different geometrical condition, by identifying their wing lines from their detected wingtips. Under the assumption that the remote airplane is on a straight course, the error of the spatial discretization (pixelization), and the automatic detection error is calculated.
Keywords
autonomous aerial vehicles; collision avoidance; computational geometry; object detection; robot vision; UAV; automatic detection error; azimuth estimation; detected wingtips; distant aircrafts; distant approaching airplane; geometrical condition; orientation information; remote pilot; remote planes; see-and-avoid systems; spatial discretization error; unmanned aerial vehicle; visual detection; wing lines; Aircraft; Atmospheric modeling; Azimuth; Cameras; Estimation; Humans; Image segmentation; See and Avoid; UAV; long range visual detection;
fLanguage
English
Publisher
ieee
Conference_Titel
Cellular Nanoscale Networks and Their Applications (CNNA), 2012 13th International Workshop on
Conference_Location
Turin
ISSN
2165-0160
Print_ISBN
978-1-4673-0287-6
Type
conf
DOI
10.1109/CNNA.2012.6331431
Filename
6331431
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