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Application of neural networks in object recognition tasks for ADAS systems
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| dc.contributor.author | Ziyatdinov R. | |
| dc.contributor.author | Biktimirov R. | |
| dc.date.accessioned | 2020-01-21T20:50:58Z | |
| dc.date.available | 2020-01-21T20:50:58Z | |
| dc.date.issued | 2019 | |
| dc.identifier.issn | 1757-8981 | |
| dc.identifier.uri | https://dspace.kpfu.ru/xmlui/handle/net/157774 | |
| dc.description.abstract | © 2019 IOP Publishing Ltd. All rights reserved. Modern driver assistance systems (ADAS) require an environmental recognition function to inform the driver and for making management decisions. Neural networks are used to select and recognize objects in such systems. The paper presents the results of comparative analysis of various neural networks in object recognition problems. Experimental data showed that convolutional neural networks show the best results in recognition problems. | |
| dc.relation.ispartofseries | IOP Conference Series: Materials Science and Engineering | |
| dc.title | Application of neural networks in object recognition tasks for ADAS systems | |
| dc.type | Conference Paper | |
| dc.relation.ispartofseries-issue | 1 | |
| dc.relation.ispartofseries-volume | 570 | |
| dc.collection | Публикации сотрудников КФУ | |
| dc.source.id | SCOPUS17578981-2019-570-1-SID85072059649 |
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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.