Towards End-to-End Lane Detection: an Instance Segmentation Approach

@article{Neven2018TowardsEL,
  title={Towards End-to-End Lane Detection: an Instance Segmentation Approach},
  author={Davy Neven and Bert De Brabandere and Stamatios Georgoulis and Marc Proesmans and Luc Van Gool},
  journal={2018 IEEE Intelligent Vehicles Symposium (IV)},
  year={2018},
  pages={286-291}
}
Modern cars are incorporating an increasing number of driver assist features, among which automatic lane keeping. The latter allows the car to properly position itself within the road lanes, which is also crucial for any subsequent lane departure or trajectory planning decision in fully autonomous cars. Traditional lane detection methods rely on a combination of highly-specialized, hand-crafted features and heuristics, usually followed by post-processing techniques, that are computationally… CONTINUE READING

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