2021
DOI: 10.1155/2021/6618459
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Lane Detection Based on Adaptive Network of Receptive Field

Abstract: The difficulty of lane detection lies in the imbalance of the number of target pixels and background pixels. The sparse target distribution misleads the neural network to pay more attention to background segmentation in order to obtain a better loss convergence result. This makes it difficult for some models to detect lane line pixels and leads to the training fail (unable to output useful lane information). Increasing receptive field properly can enlarge the sphere of action between pixels, so as to restrain … Show more

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Cited by 3 publications
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