Demonstration of closed-loop airborne sense-and-avoid using machine vision
| Data(s) |
2012
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|---|---|
| Resumo |
This paper describes a vision-based airborne collision avoidance system developed by the Australian Research Centre for Aerospace Automation (ARCAA) under its Dynamic Sense-and-Act (DSA) program. We outline the system architecture and the flight testing undertaken to validate the system performance under realistic collision course scenarios. The proposed system could be implemented in either manned or unmanned aircraft, and represents a step forward in the development of a “sense-and-avoid” capability equivalent to human “see-and-avoid”. |
| Formato |
application/pdf |
| Identificador | |
| Publicador |
IEEE |
| Relação |
http://eprints.qut.edu.au/47446/1/ARCAA_ieee_2011_Final.pdf DOI:10.1109/MAES.2012.6203712 Mejias, Luis, Lai, John S., Ford, Jason J., & O'Shea, Peter J. (2012) Demonstration of closed-loop airborne sense-and-avoid using machine vision. IEEE Aerospace and Electronic Systems Magazine, 27(4), pp. 4-7. http://purl.org/au-research/grants/ARC/LP100100302 |
| Direitos |
Copyright 2012 IEEE Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
| Fonte |
Australian Research Centre for Aerospace Automation; Faculty of Built Environment and Engineering; School of Engineering Systems |
| Palavras-Chave | #080104 Computer Vision #090100 AEROSPACE ENGINEERING #090609 Signal Processing #Unmanned Aerial Vehicles #Sense and Avoid #Hidden Markov models #Computer Vision |
| Tipo |
Journal Article |
