See and avoid using on-board computer vision
Contribuinte(s) |
Plamen, Angelov |
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Data(s) |
01/04/2012
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Resumo |
The integration of unmanned aircraft into civil airspace is a complex issue. One key question is whether unmanned aircraft can operate just as safely as their manned counterparts. The absence of a human pilot in unmanned aircraft automatically points to a deficiency that is the lack of an inherent see-and-avoid capability. To date, regulators have mandated that an “equivalent level of safety” be demonstrated before UAVs are permitted to routinely operate in civil airspace. This chapter proposes techniques, methods, and hardware integrations that describe a “sense-and-avoid” system designed to address the lack of a see-and-avoid capability in UAVs. |
Formato |
application/pdf |
Identificador | |
Publicador |
John Wiley & Sons |
Relação |
http://eprints.qut.edu.au/50789/8/50789a.pdf http://au.wiley.com/WileyCDA/WileyTitle/productCd-0470979755.html Lai, John S., Ford, Jason J., Mejias, Luis, O'Shea, Peter J., & Walker, Rodney A. (2012) See and avoid using on-board computer vision. In Plamen, Angelov (Ed.) Sense and Avoid in UAS : Research and Applications. John Wiley & Sons, Hoboken, NJ, pp. 265-294. http://purl.org/au-research/grants/ARC/LP100100302 |
Direitos |
Copyright 2012 John Wiley & Sons |
Fonte |
Australian Research Centre for Aerospace Automation; School of Electrical Engineering & Computer Science; Science & Engineering Faculty |
Palavras-Chave | #090100 AEROSPACE ENGINEERING #090602 Control Systems Robotics and Automation |
Tipo |
Book Chapter |