DocumentCode
1815760
Title
Visual sense-and-avoid system for UAVs
Author
Zarándy, Ákos ; Zsedrovits, Tamás ; Nagy, Zoltán ; Kiss, András ; Roska, Tamás
Author_Institution
Comput. & Autom. Res. Inst., Budapest, Hungary
fYear
2012
fDate
29-31 Aug. 2012
Firstpage
1
Lastpage
5
Abstract
A visual sense-and-avoid system is introduced in this paper. The system is designed to operate on small and medium sized UAVs, and to be able to detect and avoid small manned and unmanned aircrafts. The intruder detection is done on a 4650×1280 sized video flow which is processed by a many-core cellular processor array real-time.
Keywords
aircraft control; autonomous aerial vehicles; collision avoidance; control system synthesis; image sequences; multiprocessing systems; object detection; robot vision; UAV; autonomous aerial vehicles; intruder detection; manned aircrafts; manycore cellular processor array; unmanned aircrafts; video flow; visual sense-and-avoid system design; Aircraft; Algorithm design and analysis; Cameras; Collision avoidance; Field programmable gate arrays; Image processing; Visualization;
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.2012.6331447
Filename
6331447
Link To Document