@Article{Ehlgen-ITS-2008,
  IS = { zkontrolovano 18 Jan 2009 },
  UPDATE  = { 2009-01-09 },
  author =     {Ehlgen, Tobias and  Pajdla, Tom{\'a}{\v s} and Ammon, Dieter},
  title =      {Eliminating Blind Spots for Assisted Driving},
  year =       {2008},
  month =      {December},
  pages =      {657-665},
  journal =    {IEEE Transactions on Intelligent Transportation Systems},
  publisher =  {IEEE Intelligent Transportation Systems Society},
  address =    {Heidelberg, Germany},
  issn =       {1524-9050},
  volume =     {9},
  number =     {4},
  authorship = {50-45-5},
  annote = {Drivers of heavy goods vehicles are not able to survey the
    whole surrounding area of their vehicle due to large blind spot
    regions. This paper shows how catadioptric cameras - a combination
    of cameras and mirrors - can be used to survey the surrounding
    area of vehicles.  Four such cameras were mounted on a
    truck-trailer combination, and the images are combined such that
    obstacles are visible in an image presented to the driver. This
    image is a bird's eye view of the vehicle. Additionally, corridors
    indicating the path of motion of the vehicle are overlaid to the
    resulting image. To compute those corridors, a mathematical
    description of the path of motion is derived. Such a system does
    not only support the driver during maneuvering tasks but also
    increases safety of driving large vehicles.},
  keywords =   {omnidirectional vision, catadioptric cameras, 
                vision assited driving},
  project =    {MSM6840770038},
  www =        {DOI 10.1109/TITS.2008.2006815},
}