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Towards the Use of Unmanned Aerial Systems for Providing Sustainable Services in Smart Cities.

作者信息

Moguel Enrique, Conejero José M, Sánchez-Figueroa Fernando, Hernández Juan, Preciado Juan C, Rodríguez-Echeverría Roberto

机构信息

Quercus Software Engineering Group, INTIA (Instituto de Investigación en Tecnologías Aplicadas de Extremadura), University of Extremadura, Cáceres, Spain.

出版信息

Sensors (Basel). 2017 Dec 27;18(1):64. doi: 10.3390/s18010064.

DOI:10.3390/s18010064
PMID:29280984
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5795605/
Abstract

Sustainability is at the heart of many application fields where the use of Unmanned Aerial Systems (UAS) is becoming more and more important (e.g., agriculture, fire detection and prediction, environmental surveillance, mapping, etc.). However, their usage and evolution are highly conditioned by the specific application field they are designed for, and thus, they cannot be easily reused among different application fields. From this point of view, being that they are not multipurpose, we can say that they are not fully sustainable. Bearing this in mind, the objective of this paper is two-fold: on the one hand, to identify the whole set of features that must be provided by a UAS to be considered sustainable and to show that there is no UAS satisfying all these features; on the other hand, to present an open and sustainable UAS architecture that may be used to build UAS on demand to provide the features needed in each application field. Since this architecture is mainly based on software and hardware adaptability, it contributes to the technical sustainability of cities.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c8f/5795605/02d935823cc2/sensors-18-00064-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c8f/5795605/f8d35f67a0d3/sensors-18-00064-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c8f/5795605/ef4ca7f59911/sensors-18-00064-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c8f/5795605/3ab0b3f21296/sensors-18-00064-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c8f/5795605/2082d65f9fde/sensors-18-00064-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c8f/5795605/02d935823cc2/sensors-18-00064-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c8f/5795605/f8d35f67a0d3/sensors-18-00064-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c8f/5795605/ef4ca7f59911/sensors-18-00064-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c8f/5795605/3ab0b3f21296/sensors-18-00064-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c8f/5795605/2082d65f9fde/sensors-18-00064-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c8f/5795605/02d935823cc2/sensors-18-00064-g005.jpg

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本文引用的文献

1
Localization Framework for Real-Time UAV Autonomous Landing: An On-Ground Deployed Visual Approach.实时无人机自主着陆的定位框架:一种地面部署的视觉方法。
Sensors (Basel). 2017 Jun 19;17(6):1437. doi: 10.3390/s17061437.
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Unmanned aerial vehicles for the assessment and monitoring of environmental contamination: An example from coal ash spills.无人飞行器在环境污染评估和监测中的应用:以煤灰泄漏为例。
Environ Pollut. 2016 Nov;218:889-894. doi: 10.1016/j.envpol.2016.08.019. Epub 2016 Aug 10.
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下一代空气质量平台:物联网的开放性与互操作性。
Sensors (Basel). 2016 Mar 18;16(3):403. doi: 10.3390/s16030403.
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Sensors (Basel). 2012 Dec 27;13(1):393-425. doi: 10.3390/s130100393.