Key Points Estimation and Point Instance Segmentation Approach for Lane Detection

@article{Ko2022KeyPE,
  title={Key Points Estimation and Point Instance Segmentation Approach for Lane Detection},
  author={Yeongmin Ko and Younkwan Lee and Shoaib Azam and Farzeen Munir and Moongu Jeon and Witold Pedrycz},
  journal={IEEE Transactions on Intelligent Transportation Systems},
  year={2022},
  volume={23},
  pages={8949-8958}
}
Perception techniques for autonomous driving should be adaptive to various environments. In essential perception modules for traffic line detection, many conditions should be considered, such as a number of traffic lines and computing power of the target system. To address these problems, in this paper, we propose a traffic line detection method called Point Instance Network (PINet); the method is based on the key points estimation and instance segmentation approach. The PINet includes several… 

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