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Author (up) Angel Sappa; Fadi Dornaika; David Geronimo; Antonio Lopez edit   pdf
url  openurl
  Title Efficient On-Board Stereo Vision Pose Estimation Type Conference Article
  Year 2007 Publication Computer Aided Systems Theory, Selected paper from Abbreviated Journal  
  Volume 4739 Issue Pages 1183–1190  
  Keywords  
  Abstract This paper presents an efficient technique for real time estimation of on-board stereo vision system pose. The whole process is performed in the Euclidean space and consists of two stages. Initially, a compact representation of the original 3D data points is computed. Then, a RANSAC based least squares approach is used for fitting a plane to the 3D road points. Fast RANSAC fitting is obtained by selecting points according to a probability distribution function that takes into account the density of points at a given depth. Finally, stereo camera position
and orientation—pose—is computed relative to the road plane. The proposed technique is intended to be used on driver assistance systems for applications such as obstacle or pedestrian detection. A real time performance is reached. Experimental results on several environments and comparisons with a previous work are presented.
 
  Address Las Palmas de Gran Canaria (Spain)  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title LNCS  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference EUROCAST  
  Notes ADAS Approved no  
  Call Number ADAS @ adas @ SDG2007b Serial 916  
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