Environmental Monitoring using Embedded Systems on UAVs

Esther Viridiana Vazquez-Carmona, Juan Irving Vasquez-Gomez, Juan Carlos Herrera-Lozada

Research output: Contribution to journalArticlepeer-review

Abstract

Nowadays, Earth is being affected by the greenhouse effect. A first step to improve the current situation is to track the involved variables under temporal and spatial sampling. In this paper, we propose an integrated system for monitoring the related greenhouse effect gasses and several environmental variables. The system has been designed to be mounted on an unmanned aerial vehicle to overcome the spatial constraints and it also has been designed to work under the Internet of Things paradigm to overcome the temporal constraints. Unlike previous approaches, we have integrated an optimal filtering step with Kalman Filter, improving the reliability and precision of the measurements. Our experiments show that the proposed system can provide the information to the final user in near real-time. In addition, the use of the Kalman filter decreases the mean square error of our system with respect to a reference sensor.

Original languageEnglish
Article number9085284
Pages (from-to)303-310
Number of pages8
JournalIEEE Latin America Transactions
Volume18
Issue number2
DOIs
StatePublished - Feb 2020

Keywords

  • Embedded System
  • Environmental Monitoring
  • Greenhouse Effect
  • Internet of Things
  • Kalman Filter
  • Micro Air Vehicle
  • UAV

Fingerprint

Dive into the research topics of 'Environmental Monitoring using Embedded Systems on UAVs'. Together they form a unique fingerprint.

Cite this