Corpus ID: 148571582

Agnostic Lane Detection

@article{Hou2019AgnosticLD,
  title={Agnostic Lane Detection},
  author={Yuenan Hou},
  journal={ArXiv},
  year={2019},
  volume={abs/1905.03704}
}
  • Yuenan Hou
  • Published 2019
  • Computer Science
  • ArXiv
  • Lane detection is an important yet challenging task in autonomous driving, which is affected by many factors, e.g., light conditions, occlusions caused by other vehicles, irrelevant markings on the road and the inherent long and thin property of lanes. Conventional methods typically treat lane detection as a semantic segmentation task, which assigns a class label to each pixel of the image. This formulation heavily depends on the assumption that the number of lanes is pre-defined and fixed and… CONTINUE READING

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