English

Real-Time Stereo Vision on FPGAs with SceneScan

Computer Vision and Pattern Recognition 2018-09-24 v1

Abstract

We present a flexible FPGA stereo vision implementation that is capable of processing up to 100 frames per second or image resolutions up to 3.4 megapixels, while consuming only 8 W of power. The implementation uses a variation of the Semi-Global Matching (SGM) algorithm, which provides superior results compared to many simpler approaches. The stereo matching results are improved significantly through a post-processing chain that operates on the computed cost cube and the disparity map. With this implementation we have created two stand-alone hardware systems for stereo vision, called SceneScan and SceneScan Pro. Both systems have been developed to market maturity and are available from Nerian Vision GmbH.

Keywords

Cite

@article{arxiv.1809.07977,
  title  = {Real-Time Stereo Vision on FPGAs with SceneScan},
  author = {Konstantin Schauwecker},
  journal= {arXiv preprint arXiv:1809.07977},
  year   = {2018}
}

Comments

12 pages, 3 figures; accepted for publication at Forum Bildverarbeitung 2018