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Development and deployment of an intelligent kite aerial photography platform (iKAPP) for site surveying and image acquisition

Version 2 2024-03-13, 09:17
Version 1 2024-03-01, 13:20
journal contribution
posted on 2024-03-13, 09:17 authored by John Murray, Mark Neal, Frederic Labrosse
<p>Aerial photographs and images are used by a variety of industries, including farming, landscaping, surveying,and agriculture, as well as academic researchers including archaeologists and geologists. Aerial imagery canprovide a valuable resource for analyzing sites of interest and gaining information about the structure, layout,and composition of large areas of land that would be unavailable otherwise. Current methods of acquiring aerialimages rely on techniques such as satellite imagery,manned aircraft, or more recently unmanned aerial vehicles(UAVs) and micro-UAV technologies. These solutions, while accurate and reliable, have several drawbacks.Using satellite imagery or UAVs can prove to be very expensive, costing tens of thousands for images. They canalso prove to be time-consuming and in some cases have constraints on use, such as no-fly zones. In this paper,we present an alternative low-cost, versatile solution to these methods, an intelligent kite aerial photographyplatform (iKAPP), for the purpose of acquiring aerial images and monitoring sites of interest.We show how thissystem provides flexibility in application, and we detail the system’s design, mechanical operation, and initialflight experiments for a low-cost, lightweight, intelligent platform capable of acquiring high-resolution images.Finally, we demonstrate the system by acquiring images of a local site, showing how the system functions andthe quality of images it can capture. The application of the system and its capabilities in terms of capture rates,image quality, and limitations are also presented. The system offers several improvements over traditional KAPsystems, including onboard “intelligent” processing and communications. The intelligent aspect of this systemstems from the use of self-image stabilization of the camera, the advantage being that one is able to configurethe system to capture large areas of a site automatically, and one can see the site acquisition in real time, all ofwhich are not possible with previous methods of AP.</p>

History

School affiliated with

  • School of Computer Science (Research Outputs)

Publication Title

Journal of Field Robotics

Volume

30

Issue

2

Pages/Article Number

288-307

Publisher

Wiley Periodicals, Inc.

ISSN

1556-4959

eISSN

1556-4967

Date Submitted

2013-03-22

Date Accepted

2013-03-01

Date of First Publication

2013-03-01

Date of Final Publication

2013-03-01

Date Document First Uploaded

2013-03-19

ePrints ID

8156

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