See and avoid using on-board computer vision
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.
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.
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|Item Type:||Book Chapter|
|Subjects:||Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > AEROSPACE ENGINEERING (090100)|
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > ELECTRICAL AND ELECTRONIC ENGINEERING (090600) > Control Systems Robotics and Automation (090602)
|Divisions:||Current > Research Centres > Australian Research Centre for Aerospace Automation|
Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
|Copyright Owner:||Copyright 2012 John Wiley & Sons|
|Deposited On:||07 Jun 2012 09:52|
|Last Modified:||17 Sep 2014 13:12|
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