@InProceedings{RulandCVWW2010,
  IS = { zkontrolovano 31 Mar 2012 },
  UPDATE  = { 2011-05-10 },
  author =      {Ruland, Thomas and Pajdla, Tom{\'a}{\v s} and 
                 Kr{\"u}ger, Lars},
  title =       {Extrinsic Autocalibration of Vehicle Mounted Cameras for 
                 Maneuvering Assistance},
  year =        {2010},
  pages =       {44-51},
  booktitle =   {CVWW '10: Proceedings of the Computer Vision 
                 Winter Workshop 2010},
  editor =      {{\v S}pa{\v c}ek, Libor and Franc, Vojt{\v e}ch},
  publisher =   {Czech Society for Cybernetics and Informatics},
  address =     {Prague, Czech Republic},
  isbn =        {978-80-254-6499-1},
  book_pages =  {115},
  month =       {2},
  day =         {3-5},
  venue =       {Nov{\'e} Hrady, Czech Republic},
  annote =      {This paper introduces a fast and robust approach to
    extrinsic autocalibration of vehicle mounted cameras for Bird's
    Eye View1 applications. We limit ourselves to orientation
    estimation of the camera with respect to the vehicle coordinate
    frame due to the application's higher sensitivity to rotation than
    to translation. The presented algorithm predicts the movement of
    image features based on a vehicle movement model. This prediction
    gets compared with temporal correspondences extracted from image
    pairs to yield an error measure for camera orientation. It stays
    robust under bad illumination and texture conditions by
    accumulating sparse correspondences over time. The presented
    solution both reduces costs and improves maneuvering safety by
    replacing end of assembly line calibration with continuous
    lifetime adaption to changes in camera orientation.},
  keywords =    {hand-eye calibration, extrinsic calibration, automotive},
  authorship =  {85-10-05},
  project =     {without acknowledgement},
}