Conditional Weighted Ensemble of Transferred Models for Camera Based Onboard Pedestrian Detection in Railway Driver Support Systems

dc.contributor.author	Toprak, T.
dc.contributor.author	Belenlioglu, B.
dc.contributor.author	Aydin, B.
dc.contributor.author	Guzelis, C.
dc.contributor.author	Selver, M.A.
dc.date.accessioned	2021-01-25T19:32:36Z
dc.date.available	2021-01-25T19:32:36Z
dc.date.issued	2020
dc.identifier	10.1109/TVT.2020.2983825
dc.identifier.issn	0018-9545
dc.identifier.uri	https://dspace.yasar.edu.tr/xmlui/handle/20.500.12742/7283
dc.description.abstract	Pedestrian Detection (PD) is one of the most studied issues of driver assistance systems. Although a tremendous effort is already given to create datasets and to develop classifiers for cars, studies about railway systems remain very limited. This article
dc.description.sponsorship	EUREKA-EURIPIDES project ADORAS [Advanced Onboard Data Recording and Analysis System] [13-1607]; TUBITAK TEYDEBTurkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK) [9150121]
dc.language.iso	English
dc.publisher	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.title	Conditional Weighted Ensemble of Transferred Models for Camera Based Onboard Pedestrian Detection in Railway Driver Support Systems
dc.type	Article
dc.relation.firstpage	5041
dc.relation.lastpage	5054
dc.relation.volume	69
dc.relation.issue	5
dc.description.woscategory	Engineering, Electrical & Electronic; Telecommunications; Transportation Science & Technology
dc.description.wosresearcharea	Engineering; Telecommunications; Transportation
dc.identifier.wosid	WOS:000558743700035

Files in this item

Files	Size	Format	View
There are no files associated with this item.