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

Volume

27

Issue

4

fYear

2012

fDate

4/1/2012 12:00:00 AM

Firstpage

4

Lastpage

7

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;

fLanguage

English

Journal_Title

Aerospace and Electronic Systems Magazine, IEEE

Publisher

ieee

Conference_Location

4/1/2012 12:00:00 AM

ISSN

0885-8985

Type

jour

DOI

10.1109/MAES.2012.6203712

Filename

6203712