Multi-scale spatial convolution algorithm for lane line detection and lane offset estimation in complex road conditions

Deep learning has made remarkable progress in the field of image classification and object detection. Nevertheless, in the autonomous driving research, the real-time lane line detection and lane offset estimation in complex traffic scenes have always been challenging and difficult tasks. Traditional...

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Vydáno v:	Signal processing. Image communication Ročník 99; s. 116413
Hlavní autoři:	Haris, Malik, Hou, Jin, Wang, Xiaomin
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Amsterdam Elsevier B.V 01.11.2021 Elsevier BV
Témata:	Algorithms Artificial neural networks Blocking Convolutional neural network (CNN) Image classification Image segmentation Lane line detection Lane offset estimation Machine learning Multi-tasking Multitasking Object recognition Optimization Road conditions Scale perception Task complexity Unmanned vehicle Lane offset estimation Unmanned vehicle Lane line detection Convolutional neural network (CNN) Multi-tasking Scale perception
ISSN:	0923-5965, 1879-2677
On-line přístup:	Získat plný text
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