• DocumentCode
    238571
  • Title

    Artificial Intelligence guidance for Unmanned Aerial Vehicles in three dimensional space

  • Author

    Chithapuram, Chethan ; Jeppu, Yogananda V. ; Aswani Kumar, Ch

  • Author_Institution
    Moog India Technol. Center, Bangalore, India
  • fYear
    2014
  • fDate
    27-29 Nov. 2014
  • Firstpage
    1256
  • Lastpage
    1261
  • Abstract
    Unmanned Aerial Vehicle(UAV) are used in various applications like visual surveillance of natural resources, product delivery, armed attacks, disaster relief etc. This research proposes use of Artificial Intelligence (AI) for dynamic target tracking capability of an UAV. The AI guidance algorithm performance is compared against standard guidance algorithm like Proportional Navigation Guidance (PNG) algorithm.
  • Keywords
    artificial intelligence; autonomous aerial vehicles; mobile robots; path planning; target tracking; telerobotics; AI guidance algorithm; PNG algorithm; UAV; artificial intelligence; dynamic target tracking capability; proportional navigation guidance; standard guidance algorithm; unmanned aerial vehicles; Acceleration; Arrays; Artificial intelligence; Machine learning algorithms; Mathematical model; Noise; Training; Aerospace Simulation; Artificial Intelligence; Machine Learning; Mathematical Model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Contemporary Computing and Informatics (IC3I), 2014 International Conference on
  • Conference_Location
    Mysore
  • Type

    conf

  • DOI
    10.1109/IC3I.2014.7019634
  • Filename
    7019634