Title :
Demonstration of closed-loop airborne sense-and-avoid using machine vision
Author :
Mejias, Luis ; Lai, John ; Ford, Jason J. ; O´Shea, Peter
Author_Institution :
Queensland Univ. of Technol., Brisbane, QLD, Australia
fDate :
4/1/2012 12:00:00 AM
Abstract :
The ARCAA DSA program has recently demonstrated full closed-loop aircraft sense-and-avoid using vision-based sensor technology. Real-time onboard detection and tracking was accomplished by harnessing the parallel processing capabilities of GPU-based hardware. ARCAA\´s DSA program aims to develop a cost-effective collision avoidance capability to facilitate the routine operation of UASs in the national airspace as well as enhance manned aviation safety by complementing human pilot “see-and-avoid".
Keywords :
aerospace computing; aircraft; computer vision; computerised instrumentation; graphics processing units; remote sensing; ARCAA DSA program; GPU-based hardware; closed-loop airborne sense-and-avoid; closed-loop aircraft sense-and-avoid; cost-effective collision avoidance capability; enhance manned aviation safety; human pilot see-and-avoid; machine vision; national airspace; parallel processing capability; real-time onboard detection; real-time onboard tracking; vision-based sensor technology; Aircraft navigation; Approximation methods; Closed loop systems; Collision avoidance; Machine vision; Real-time systems; Sensor systems;
Journal_Title :
Aerospace and Electronic Systems Magazine, IEEE
Conference_Location :
4/1/2012 12:00:00 AM
DOI :
10.1109/MAES.2012.6203712