Abstract:Pixel segmentation is one of the most commonly used deep learning methods for modern lane line detection. Although deep segmentation outperforms traditional methods, there are two main problems: slow speed and limited receptive field. In response to these problems, this paper proposes a lightweight lane line detection algorithm based on learnable cluster segmentation and self‐attention mechanism, which has extremely fast speed and the ability to adapt to real scenes. The lane detection process is considered as… Show more
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