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Autonomous Multi-Rotor Aerial Platform for Air Pollution Monitoring.
Cozma, Alexandru; Firculescu, Adrian-Cosmin; Tudose, Dan; Ruse, Laura.
  • Cozma A; Computer Science and Engineering Department, Faculty of Automatic Control and Computers, University Politehnica of Bucharest, Splaiul Independenței 313, Sector 6, 060042 Bucharest, Romania.
  • Firculescu AC; Computer Science and Engineering Department, Faculty of Automatic Control and Computers, University Politehnica of Bucharest, Splaiul Independenței 313, Sector 6, 060042 Bucharest, Romania.
  • Tudose D; Computer Science and Engineering Department, Faculty of Automatic Control and Computers, University Politehnica of Bucharest, Splaiul Independenței 313, Sector 6, 060042 Bucharest, Romania.
  • Ruse L; Computer Science and Engineering Department, Faculty of Automatic Control and Computers, University Politehnica of Bucharest, Splaiul Independenței 313, Sector 6, 060042 Bucharest, Romania.
Sensors (Basel) ; 22(3)2022 Jan 23.
Article in English | MEDLINE | ID: covidwho-1686939
ABSTRACT
During the last few years, scientists have become increasingly concerned about air quality. Particularly in large cities and industrialised areas, air quality is affected by pollution from natural and anthropogenic sources and this has a significant impact on human health. Continuous monitoring of air quality is an important step in investigating the causes and reducing pollution. In this paper, we propose a new autonomous multi-rotor aerial platform that can be used to perform real-time monitoring of air quality in large cities. The air quality monitoring system is able to cover large areas, with high spatial resolution, even above average buildings, while being relatively low cost. We evaluate the proposed system in several locations throughout a metropolitan city, during different seasons and generate fine-grained heat-maps that display the level of pollution of specific areas based on different altitudes.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Air Pollutants / Air Pollution Type of study: Experimental Studies Limits: Humans Language: English Year: 2022 Document Type: Article Affiliation country: S22030860

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Air Pollutants / Air Pollution Type of study: Experimental Studies Limits: Humans Language: English Year: 2022 Document Type: Article Affiliation country: S22030860