IS = { zkontrolovano 25 Jan 2014 },
  UPDATE  = { 2014-01-20 },
  author =      {Ruland, Thomas and Pajdla, Tom{\'a}{\v s} and Kr{\"u}ger, Lars},
  title =       {Robust hand-eye self-calibration},
  year =        {2011},
  pages =       {87--94},
  booktitle =   {ITSC 2011: 2011 14th International IEEE Conference on Intelligent Transportation Systems},
  publisher =   {IEEE},
  address =     {Piscataway, USA},
  isbn =        {978-1-4577-2198-4},
  book_pages =  {1892},
  month =       {October},
  day =         {5--7},
  venue =       {Washington DC, USA},
  organization ={IEEE},
  annote =      {This paper introduces robust globally optimal
                  hand-eye self-calibration of camera orientation for
                  the automotive domain. The main contribution are new
                  feasibility problems to integrate this problem into
                  a branch-and-bound parameter space search. The
                  algorithm constitutes the first guaranteed globally
                  optimal maximizer for the support of all three
                  orientation parameters with respect to an a priori
                  defined threshold of reprojection errors. The
                  algorithm operates directly on interest point
                  correspondences and does not depend on any structure
                  and motion preprocessing to estimate camera
                  poses. The complete system is implemented and
                  validated on both synthetic and real automotive
  keywords =    {hand-eye calibration, extrinsic calibration, automotive},
  prestige =    {important},
  authorship =  {34-33-33},
psurl = {[10.1109/ITSC.2011.6083013]},
  doi =         {10.1109/ITSC.2011.6083013},
  project =     {without acknowledgement},