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