Lane line detection method based on full-convolution network
A lane line detection and lane line technology, applied in the field of lane line detection, can solve problems such as inapplicability to in-vehicle embedded devices, high operating environment requirements, and complex image processing processes.
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[0064] The present invention will be further described below in conjunction with the drawings and embodiments.
[0065] Examples of the present invention follow image 3 To implement the middle process, first build a lane line classification network, and train the lane line classification network on the classification data set to obtain a lane line classification network model. Then the present invention transforms the model into an initialization detection network model to initialize the fully convolutional lane line detection network, and uses the defined lane line detection loss to train the fully convolutional lane line detection network on the detection data set to obtain the lane line Check the network model. The example of the present invention uses the Caffe framework as an experimental platform, builds a lane line classification network in the Caffe frame, and trains the lane line classification network on the lane line classification data set to obtain a lane line clas...
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