Intersections and crosswalk detection using deep learning and image processing techniques

dc.contributor.author	Tumen, Vedat
dc.contributor.author	Ergen, Burhan
dc.date.accessioned	16/12/21 12:06
dc.date.available	16/12/21 12:06
dc.date.issued	2020
dc.identifier.issn	0378-4371
dc.identifier.uri	http://dspace.beu.edu.tr:8080/xmlui/handle/20.500.12643/9975
dc.identifier.uri	https://doi.org/10.1016/j.physa.2019.123510
dc.description.abstract	Road separations, intersections, and crosswalks, which are important components of highways, are seen as significant areas for autonomous vehicles and advanced driver assistance systems because traffic accident occurrence rate is considerably high in thes
dc.description.sponsorship	Firat University Research Fund under Firat UniversityFirat University [FUBAP-MF.19.50]
dc.language.iso	English
dc.publisher	Elsevıer
dc.source	Physıca A-Statıstıcal Mechanıcs And Its Applıcatıons
dc.title	Intersections and crosswalk detection using deep learning and image processing techniques
dc.type	Article
dc.identifier.doi	10.1016/j.physa.2019.123510
dc.identifier.wos	WOS:000526841900006
dc.identifier.volume	543

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