IS = { zkontrolovano 31 Mar 2012 },
  UPDATE  = { 2011-05-10 },
  author =      {Ruland, Thomas and Loose, Heidi and Pajdla, Tom{\'a}{\v s} and 
                 Kr{\"u}ger, Lars},
  title =       {Hand-Eye Autocalibration of Camera Positions on Vehicles},
  year =        {2010},
  pages =       {367-372},
  booktitle =   {ITSC '10: 2010 13th International IEEE Conference on 
                 Intelligent Transportation Systems},
  publisher =   {IEEE},
  address =     {New York, USA},
  isbn =        {978-1-4244-7657-2},
  book_pages =  {1892},
  month =       {09},
  day =         {19},
  venue =       {Funchal, Portugal},
  organization ={IEEE},
  annote =      {This paper introduces an approach to extrinsic
    autocalibration of vehicle mounted cameras for Bird's Eye View
    applications. We extend existing self-calibration methods by
    estimation of two position parameters while assuming the camera
    height to be known. The presented algorithm is derived from
    classic hand-eye calibration and uses independent temporal feature
    correspondences to introduce constraints on the camera
    position. An error measure of the constraints' degree of
    satisfaction is used to formulate the parameter search as a
    quadratic optimization problem. Temporal accumulation of
    correspondences over time improves robustness to potentially
    sparse interest points and pitch or roll movements of the
  keywords =    {hand-eye calibration, extrinsic calibration, automotive},
  authorship =  {80-05-10-05},
  doi =         {10.1109/ITSC.2010.5625279},
  project =     {without acknowledgement},