Proportional feature pyramid network based on weight fusion for lane detection
Jiapeng Hui,
Guoyun Lian,
Jiansheng Wu
et al.
Abstract:Lane detection under extreme conditions presents a highly challenging task that requires capturing each crucial pixel to predict the complex topology of lane lines and differentiate the various lane types. Existing methods predominantly rely on deep feature extraction networks with substantial parameters or the fusion of multiple prediction modules, resulting in large model sizes, embedding difficulties, and slow detection speeds. This article proposes a Proportional Feature Pyramid Network (P-FPN) through fus… Show more
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