Corpus ID: 211069391

Universal Semantic Segmentation for Fisheye Urban Driving Images

@article{Ye2020UniversalSS,
  title={Universal Semantic Segmentation for Fisheye Urban Driving Images},
  author={Yaozu Ye and Kailun Yang and Kaite Xiang and Juan Wang and Kaiwei Wang},
  journal={ArXiv},
  year={2020},
  volume={abs/2002.03736}
}
  • Yaozu Ye, Kailun Yang, +2 authors Kaiwei Wang
  • Published in ArXiv 2020
  • Computer Science, Mathematics
  • Semantic segmentation is a critical method in the field of autonomous driving. When performing semantic image segmentation, a wider field of view (FoV) helps to obtain more information about the surrounding environment, making automatic driving safer and more reliable, which could be offered by fisheye cameras. However, large public fisheye data sets are not available, and the fisheye images captured by the fisheye camera with large FoV comes with large distortion, so commonly-used semantic… CONTINUE READING

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