Automated road marking recognition system

dc.contributor.author	Ziyatdinov R.
dc.contributor.author	Shigabiev R.
dc.contributor.author	Talipov D.
dc.date.accessioned	2018-04-05T07:10:01Z
dc.date.available	2018-04-05T07:10:01Z
dc.date.issued	2017
dc.identifier.issn	1757-8981
dc.identifier.uri	http://dspace.kpfu.ru/xmlui/handle/net/130144
dc.description.abstract	© Published under licence by IOP Publishing Ltd. Development of the automated road marking recognition systems in existing and future vehicles control systems is an urgent task. One way to implement such systems is the use of neural networks. To test the possibility of using neural network software has been developed with the use of a single-layer perceptron. The resulting system based on neural network has successfully coped with the task both when driving in the daytime and at night.
dc.relation.ispartofseries	IOP Conference Series: Materials Science and Engineering
dc.title	Automated road marking recognition system
dc.type	Conference Paper
dc.relation.ispartofseries-issue	1
dc.relation.ispartofseries-volume	240
dc.collection	Публикации сотрудников КФУ
dc.source.id	SCOPUS17578981-2017-240-1-SID85034030788

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Публикации сотрудников КФУ Scopus [24551]
Коллекция содержит публикации сотрудников Казанского федерального (до 2010 года Казанского государственного) университета, проиндексированные в БД Scopus, начиная с 1970г.