DeepLanes: End-To-End Lane Position Estimation Using Deep Neural Networks

  title={DeepLanes: End-To-End Lane Position Estimation Using Deep Neural Networks},
  author={Alexandru Gurghian and Tejaswi Koduri and Smita V. Bailur and Kyle J. Carey and Vidya N. Murali},
  journal={2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)},
Camera-based lane detection algorithms are one of the key enablers for many semi-autonomous and fullyautonomous systems, ranging from lane keep assist to level-5 automated vehicles. Positioning a vehicle between lane boundaries is the core navigational aspect of a self-driving car. Even though this should be trivial, given the clarity of lane markings on most standard roadway systems, the process is typically mired with tedious pre-processing and computational effort. We present an approach to… CONTINUE READING
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