UAV-based Semi-Autonomous Data Acquisition and Classification

被引：0

作者：

Hussain, Ahmed Mohamed ^{[1
]}

Azmy, Sherif B. ^{[1
]}

Abuzrara, Ahmed ^{[1
]}

Al-Hajjaji, Khalid ^{[1
]}

Hassan, Abdelmonem ^{[1
]}

Khamdan, Husain ^{[1
]}

Ezzin, Mouadh ^{[1
]}

Hassani, Abdelhakim ^{[1
]}

Zorba, Nizar ^{[1
]}

机构：

[1] Qatar Univ, Dept Elect Engn, Doha, Qatar

来源：

2018 14TH INTERNATIONAL WIRELESS COMMUNICATIONS & MOBILE COMPUTING CONFERENCE (IWCMC) | 2018年

关键词：

Data Acquisition; Unmanned Aerial Vehicle; Remote Sensing; Pollution; Data Visualization; Data Classification; Crowd management; Crowd sensing; Smart infrastructure; AIR-POLLUTION; SYSTEMS;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Air pollution is a major issue contributing to global warming that threaten the quality of life on Earth. Numerous research disciplines are combining their efforts to combat air pollution by developing new methods to monitor and control pollution. For this to happen, researchers need to have instant access to new data. In this paper, we have developed a Semi-Autonomous Unmanned Aerial Vehicle (UAV) loaded with sensors to measure different quantities indicating air pollution, in particular: temperature, humidity, dust, carbon monoxide, carbon dioxide, and ozone. The purpose of this UAV is to automatically patrol high altitudes to obtain sensor readings, and transmit raw data to a centralized server via mobile network for visualization and storage. Actual measurements and data collection is carried out in Qatar. This combination of the UAVs' mobility, remote sensing, and networking facilities allows concerned parties such as researchers, smart city administrators and crowd managers, to view and visualize relevant data with significant ease via a web interface, or an android app.

引用

页码：1273 / 1277

页数：5

共 14 条

[1] Feature article: Cellular for the skies: Exploiting mobile network infrastructure for low altitude air-to-ground communications [J].