AR.Drone as a platform for measurements
| Autor: | Anton Koval, Eloy Irigoyen, Tetyana Koval |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
0209 industrial biotechnology
Focus (computing) Engineering business.industry Outdoor air quality Real-time computing Monitoring system Environmental pollution 02 engineering and technology Drone 020901 industrial engineering & automation 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Robot operating system business Simulation |
| Zdroj: | 2017 IEEE 37th International Conference on Electronics and Nanotechnology (ELNANO). |
| Popis: | The number of civil applications that utilize unmanned aerial vehicles (UAVs) nowadays is continuously growing. Detection of gas leaks is one of the most promising directions. Using UAVs in this area is of great interest cause they are more flexible than ground systems. In this paper authors present integration of a custom sensor into AR.Drone quadrotor on the example of Figaro catalytic gas sensor. This will allow to conduct outdoor air quality monitoring and to prevent environmental pollution. Main focus of this work is to propose a challenging monitoring system capable to detect dangerous gases in the immediate vicinity to the gas source and is controlled via Robot Operating System. First laboratory experiments proved viability of proposed system and serve as a basis for further research. |
| Databáze: | OpenAIRE |
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