Monocular Pose Estimation for an Unmanned Aerial Vehicle Using Spectral Features

  • Gastón AraguásEmail author
  • Claudio Paz
  • Gonzalo Perez Paina
  • Luis Canali
Part of the Studies in Computational Intelligence book series (SCI, volume 664)


Pose estimation of Unmanned Aerial Vehicles (UAV) using cameras is currently a very active research topic in computer and robotic vision, with special application in GPS-denied environments. However, the use of visual information for ego-motion estimation presents several difficulties, such as features search, data association (feature correlation), inhomogeneous features distribution in the image, etc.



This work was partially funded by the Argentinean institutions Universidad Tecnológica Nacional through the project ‘Fusión Sensorial para Estimación de Posición y Orientación 3D”, UTN-PID-2155, and the National Agency for Science and Technology Promotion through the project “Autonomous Vehicle Guidance Fusing Low-cost GPS and other Sensors”, PICT-PRH-2009-0136, both currently under development at CIII, UTN, Córdoba, Argentina.


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Copyright information

© Springer International Publishing Switzerland 2017

Authors and Affiliations

  • Gastón Araguás
    • 1
    Email author
  • Claudio Paz
    • 1
  • Gonzalo Perez Paina
    • 1
  • Luis Canali
    • 1
  1. 1.Centro de Investigación en Informática para la Ingeniería (CIII), Facultad Regional CórdobaUniversidad Tecnológica NacionalCórdobaArgentina

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