Development of a Platform for Road Infrastructure Digital Certification

被引：0

作者：

Moseva, M. S. ^{[1
]}

Gorodnichev, M. G. ^{[1
]}

Polyantseva, K. A. ^{[1
]}

Sheremetev, A., V ^{[1
]}

Dzhabrailov, Kh A. ^{[1
]}

机构：

[1] Moscow Tech Univ Commun & Informat, Moscow, Russia

来源：

2021 INTELLIGENT TECHNOLOGIES AND ELECTRONIC DEVICES IN VEHICLE AND ROAD TRANSPORT COMPLEX (TIRVED) | 2021年

关键词：

CNN; Convolutional Neural Network; Computer vision; convolutional neural networks; image analysis; object detection in images; metadata;

D O I：

10.1109/TIRVED53476.2021.9639102

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper considers the analysis of information environments and technologies suitable for the development of a platform for digital certification of road infrastructure. There is a description of the platform design: the tasks that make up the development are considered. The approaches to the implementation of the considered tasks are analyzed. Describes in detail the implementation of the platform components: preparing images for training a convolutional neural network, training a neural network on a prepared dataset, testing a trained neural network, software implementation of obtaining latitude and longitude from photo metadata in a user-friendly form, as well as in an easy-to-load cartographic service form.

引用

页数：8

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