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Demonstration of Closed-Loop Airborne Sense-and-Avoid using Machine Vision (IEEE)
Publication Year:
2012
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".
Paper available at IEEE.
Institution:
Queensland Univ. of Technol., Brisbane, QLD, Australia
Groups:

BayWebSoft