Study on traffic scene semantic segmentation method based on convolutional neural network

Study on traffic scene semantic segmentation method based on convolutional neural network

In order to improve the semantic segmentation accuracy of traffic scene,a segmentation method was proposed based on RGB-D image and convolutional neural network.Firstly,on the basis of semi-global stereo matching algorithm,the disparity map was obtained,and the sample library was established by fusi...

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Bibliographic Details
Main Authors: Linhui LI, Bo QIAN, Jing LIAN, Weina ZHENG, Yafu ZHOU
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2018-04-01
Series:Tongxin xuebao
Subjects:
deep learning
convolutional neural network
traffic scene
semantic segmentation
disparity map
Online Access:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2018053/
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