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
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;
Conference_Titel :
Cellular Nanoscale Networks and Their Applications (CNNA), 2012 13th International Workshop on
Conference_Location :
Turin
Print_ISBN :
978-1-4673-0287-6
DOI :
10.1109/CNNA.2012.6331447
