• DocumentCode
    1930666
  • Title

    Atmospheric analyser for mobile robots

  • Author

    Somlyai, Laszlo ; Turoczi, A. ; Molnar, Adrienn

  • Author_Institution
    John von Neumann Fac. of Inf., Obuda Univ., Budapest, Hungary
  • fYear
    2012
  • fDate
    20-22 Nov. 2012
  • Firstpage
    181
  • Lastpage
    185
  • Abstract
    This paper demonstrates the development process of an atmospheric analyser and data acquisition system for unmanned aerial vehicles. In co-operation with the on-board autopilot system the application is capable of collecting, analysing and visualising atmospheric and environmental data. The objective of the data collection is to monitor the current state of the environment. The three dimensional visualisation and data analysis can be used to locate pollutants and show changes in concentrations. From meteorological point of view, temperature, pressure, humidity, dust and atmospheric gas concentrations and UV-radiation data are the most studied environmental characteristics. Our data acquisition board has dimensions of 80 × 200 mm. The basic configuration contains several standard sensors such as: temperature, humidity, dust, UVA-UVB radiation, gamma detector, CO2, CO, NO, NO2, O2, O3 gas sensors. Additional external sensors or detectors can be connected to the board via expansion connectors and interfaces.
  • Keywords
    autonomous aerial vehicles; data acquisition; data analysis; mobile robots; robot vision; 3D visualisation; UV radiation data; UVA UVB radiation; atmospheric analyser; atmospheric gas concentration; autopilot system; data acquisition board; data acquisition system; data analysis; data collection; dust; environmental data; gamma detector; gas sensors; humidity; mobile robots; unmanned aerial vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Informatics (CINTI), 2012 IEEE 13th International Symposium on
  • Conference_Location
    Budapest
  • Print_ISBN
    978-1-4673-5205-5
  • Electronic_ISBN
    978-1-4673-5210-9
  • Type

    conf

  • DOI
    10.1109/CINTI.2012.6496756
  • Filename
    6496756