Fast PatchMatch stereo matching using cross-scale cost fusion for automotive applications

@article{Cho2015FastPS,
  title={Fast PatchMatch stereo matching using cross-scale cost fusion for automotive applications},
  author={Ji-Ho Cho and Martin Humenberger},
  journal={2015 IEEE Intelligent Vehicles Symposium (IV)},
  year={2015},
  pages={802-807}
}
Due to recent developments of low-cost image sensors and high-performance embedded processing hardware, future cars and automotive systems will increasingly use binocular stereo vision for environmental perception. However, research and development in stereo vision is still ongoing since there are many challenges unsolved. In this paper, we propose a fast and accurate stereo matching algorithm, designed for automotive applications. It convincingly handles real-world scenes containing complex… CONTINUE READING
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