Iterative Semi-Global Matching for Robust Driver Assistance Systems

  title={Iterative Semi-Global Matching for Robust Driver Assistance Systems},
  author={Simon Hermann and Reinhard Klette},
Semi-global matching (SGM) is a technique of choice for dense stereo estimation in current industrial driver-assistance systems due to its real-time processing capability and its convincing performance. In this paper we introduce iSGM as a new cost integration concept for semi-global matching. In iSGM, accumulated costs are iteratively evaluated and intermediate disparity results serve as input to generate semiglobal distance maps. This novel data structure supports fast analysis of spatial… CONTINUE READING
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