Forced landing technologies for unmanned aerial vehicles : towards safer operations
Mejias, Luis, Fitzgerald, Daniel L., Eng, Pillar C., & Xi, Liu (2009) Forced landing technologies for unmanned aerial vehicles : towards safer operations. In Thanh Mung, Lam (Ed.) Aerial Vehicles. In-Tech, Kirchengasse, Austria, pp. 415-442.
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While using unmanned systems in combat is not new, what will be new in the foreseeable future is how such systems are used and integrated in the civilian space. The potential use of Unmanned Aerial Vehicles in civil and commercial applications is becoming a fact, and is receiving considerable attention by industry and the research community. The majority of Unmanned Aerial Vehicles performing civilian tasks are restricted to flying only in segregated space, and not within the National Airspace. The areas that UAVs are restricted to flying in are typically not above populated areas, which in turn are the areas most useful for civilian applications. The reasoning behind the current restrictions is mainly due to the fact that current UAV technologies are not able to demonstrate an Equivalent Level of Safety to manned aircraft, particularly in the case of an engine failure which would require an emergency or forced landing.
This chapter will preset and guide the reader through a number of developments that would facilitate the integration of UAVs into the National Airspace. Algorithms for UAV Sense-and-Avoid and Force Landings are recognized as two major enabling technologies that will allow the integration of UAVs in the civilian airspace.
The following sections will describe some of the techniques that are currently being tested at the Australian Research Centre for Aerospace Automation (ARCAA), which places emphasis on the detection of candidate landing sites using computer vision, the planning of the descent path trajectory for the UAV, and the decision making process behind the selection of the final landing site.
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|Item Type:||Book Chapter|
|Keywords:||Unmanned Aerial Vehicles, Aerial Robotics, Computer Vision, Artificial Intelligence, Control and Flight Planning, Forced Landings|
|Subjects:||Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > AEROSPACE ENGINEERING (090100)
|Divisions:||Current > Research Centres > Australian Research Centre for Aerospace Automation
Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > Schools > School of Engineering Systems
|Copyright Owner:||Copyright 2009 The Authors|
|Copyright Statement:||No Copyright Transfer Since all InTech books and journals are published under the Creative Commons license, researchers hold the intellectual property rights to their own work - copyright is NOT transferred to the publisher. Authors maintain their rights to reuse the published material, while readers are granted unrestricted non-commercial usage of all published work provided they correctly acknowledge and cite the author and source of the work. For more information about author's copyright please visit the following website: http://www.intechweb.org/benefits-for-authors.html|
|Deposited On:||11 Jul 2011 21:56|
|Last Modified:||10 Oct 2015 20:30|
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