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Demonstration of closed-loop airborne sense-and-avoid using machine vision

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4 Author(s)
Luis Mejias ; Queensland University of Technology, UK ; John Lai ; Jason J. Ford ; Peter O'Shea

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".

Published in:

IEEE Aerospace and Electronic Systems Magazine  (Volume:27 ,  Issue: 4 )