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

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

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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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http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2018053/

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