• DocumentCode
    151613
  • Title

    INS-camera calibration without ground control points

  • Author

    Bender, D. ; Schikora, M. ; Sturm, J. ; Greniers, D.

  • Author_Institution
    Dept. Sensor Data & Inf. Fusion, Fraunhofer FKIE, Wachtberg, Germany
  • fYear
    2014
  • fDate
    8-10 Oct. 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In this paper we present an approach for performing system calibration of a sensor suite consisting of a fixed mounted camera and an inertial navigation system without the usage of a photogrammetric calibration site. The aim of the presented work is to obtain accurate direct georeferencing of camera images collected with manned or unmanned aerial systems for search and rescue tasks. These time-critical missions require a straightforward calibration which can be performed without additional equipment. This induces an in-flight calibration of the intrinsic camera parameters in addition to the mounting offsets between the camera and the inertial navigation system. The optimization of these values can be done by introducing them as parameters into a bundle adjustment process. We show how to solve this by exploiting a graph optimization framework. The evaluation of the proposed approach with data from flight experiments leads to an improvement of roughly factor six compared to a terrestrial calibration.
  • Keywords
    Global Positioning System; cameras; emergency management; graph theory; image sensors; inertial navigation; optimisation; Global Positioning System; INS-camera calibration; bundle adjustment process; camera image direct georeferencing; ground control point; inertial navigation system; intrinsic camera in-flight calibration; manned aerial system; search and rescue task; sensor suite calibration; time-critical mission; unmanned aerial system; Calibration; Cameras; Meteorology; Navigation; Optimization; Q measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sensor Data Fusion: Trends, Solutions, Applications (SDF), 2014
  • Conference_Location
    Bonn
  • Type

    conf

  • DOI
    10.1109/SDF.2014.6954719
  • Filename
    6954719