Lane line detection method based on deep learning
A lane line detection and deep learning technology, applied in instruments, biological neural network models, character and pattern recognition, etc., can solve problems such as the inability to accurately and quickly determine the lane lines, the detection effect is not ideal, the model is complex and speed, etc. Model complexity, avoiding the effects of large models and obvious features
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[0021] Below, in conjunction with accompanying drawing and specific embodiment, the present invention is described further:
[0022] Please refer to the attached figure 1 , a lane line detection method based on deep learning, comprising the following steps:
[0023] S01: Obtain a lane detection data set, wherein the lane detection data set contains multiple lane detection data, each lane detection data corresponds to an image containing lanes, and the position and number of lane lines in the image are known and determined.
[0024] The lane detection data set includes normal detection data set and extreme detection data set. The lane lines of the images in the normal detection data set are clear, that is, the images routinely taken on the highway, the lighting conditions are good and the lane lines are relatively clear and unobstructed. This data set mainly Get lane line features in general.
[0025] The lane lines of the images in the extreme detection data set are occluded...
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