Corpus ID: 208637360

Let's Get Dirty: GAN Based Data Augmentation for Soiling and Adverse Weather Classification in Autonomous Driving

@article{Ui2019LetsGD,
  title={Let's Get Dirty: GAN Based Data Augmentation for Soiling and Adverse Weather Classification in Autonomous Driving},
  author={Michal Uři{\vc}{\'a}ř and Ganesh Sistu and Hazem Rashed and Anton{\'i}n Vobeck{\'y} and Pavel Kr{\'i}zek and Fabian Burger and Senthil Kumar Yogamani},
  journal={ArXiv},
  year={2019},
  volume={abs/1912.02249}
}
Cameras are getting more and more important in autonomous driving. Wide-angle fisheye cameras are relatively cheap sensors and very suitable for automated parking and low-speed navigation tasks. Four of such cameras form a surround-view system that provides a complete and detailed view around the vehicle. These cameras are usually directly exposed to harsh environmental settings and therefore can get soiled very easily by mud, dust, water, frost, etc. The soiling on the camera lens has a direct… Expand
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