A Lane Detection Method Based on Semantic Segmentation

This paper proposes a novel method of lane detection, which adopts VGG16 as the basis of convolutional neural network to extract lane line features by cavity convolution, wherein the lane lines are divided into dotted lines and solid lines. Expanding the field of experience through hollow convolutio...

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Veröffentlicht in:	Computer modeling in engineering & sciences 2020-01, Vol.122 (3), p.1039-1053
Hauptverfasser:	Ding, Ling, Zhang, Huyin, Xiao, Jinsheng, Shu, Cheng, Lu, Shejie
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial neural networks CNN Coders Convolution Datasets Feature extraction Instance Segmentation Lane Detection Semantic Segmentation Semantics Vgg16
Online-Zugang:	Volltext
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