• Published 2019

Unsupervised Labeled Lane Markers Using Maps

@inproceedings{Behrendt2019UnsupervisedLL,
  title={Unsupervised Labeled Lane Markers Using Maps},
  author={Karsten Behrendt and Ryan Soussan},
  year={2019}
}
Large and diverse annotated datasets can significantly increase the accuracy of machine learning models. However, human annotations can be cost and time intensive, and generating 3D information and connectivity for image features using manual annotations can be difficult and error prone. We therefore propose to automatically annotate lane markers in images and assign attributes to each marker such as 3D positions by using map data. Our method projects map lane markers into image space for far… CONTINUE READING

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