SwiftLane: Towards Fast and Efficient Lane Detection

  title={SwiftLane: Towards Fast and Efficient Lane Detection},
  author={Oshada Jayasinghe and Damith Anhettigama and Sahan Hemachandra and Shenali Kariyawasam and Ranga Rodrigo and Peshala G. Jayasekara},
  journal={2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA)},
Recent work done on lane detection has been able to detect lanes accurately in complex scenarios, yet many fail to deliver real-time performance specifically with limited computational resources. In this work, we propose SwiftLane: a simple and light-weight, end-to-end deep learning based framework, coupled with the row-wise classification formulation for fast and efficient lane detection. This framework is supplemented with a false positive suppression algorithm and a curve fitting technique… 

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