See and avoid using on-board computer vision


Autoria(s): Lai, John S.; Ford, Jason J.; Mejias, Luis; O'Shea, Peter J.; Walker, Rodney A.
Contribuinte(s)

Plamen, Angelov

Data(s)

01/04/2012

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

http://eprints.qut.edu.au/50789/

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