A monocular vision-based positioning method for floating car

被引：0
|
作者：
Zheng, K. [1 ]
Xue, Q. [1 ]
Naji, H.A.H. [1 ]
Zhu, D. [2 ]
机构：
[1] School of Computer and Information Engineering, Nanyang Institute of Technology, Nanyang,Henan,473004, China
[2] Intelligent Transport Systems Research Center, Wuhan University of Technology, Wuhan,Hubei,430063, China
来源：
Advances in Transportation Studies | 2020年 / 52卷
关键词：
Image reconstruction - Intelligent vehicle highway systems - Vision;
D O I：
10.4399/97888255370313
中图分类号：
学科分类号：
摘要：
Once driving in a blind-spot area, there are difficulties in transferring vehicle position through GPS data. To tackle this problem, a monocular vision-based positioning method was proposed for ITS (Intelligence Transport System). Experiment results show that the average accuracy error of the position data obtained by the proposed method is 8m, lower than the average error of GPS, which can be used as a means to obtain the position data of the floating vehicle in blind-spot. The finding of the study can help in ITS. © 2020, Aracne Editrice. All rights reserved.
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页码：43 / 54
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