dc.contributor.author | Ucar, A. | |
dc.contributor.author | Demir, Y. | |
dc.contributor.author | Guzelis, C. | |
dc.date.accessioned | 2021-01-25T19:33:20Z | |
dc.date.available | 2021-01-25T19:33:20Z | |
dc.date.issued | 2017 | |
dc.identifier | 10.1177/0037549717709932 | |
dc.identifier.issn | 0037-5497 | |
dc.identifier.uri | https://dspace.yasar.edu.tr/xmlui/handle/20.500.12742/7651 | |
dc.description.abstract | Autonomous driving requires reliable and accurate detection and recognition of surrounding objects in real drivable environments. Although different object detection algorithms have been proposed, not all are robust enough to detect and recognize occluded | |
dc.language.iso | English | |
dc.publisher | SAGE PUBLICATIONS LTD | |
dc.title | Object recognition and detection with deep learning for autonomous driving applications | |
dc.type | Article | |
dc.relation.firstpage | 759 | |
dc.relation.lastpage | 769 | |
dc.relation.volume | 93 | |
dc.relation.issue | 9 | |
dc.description.woscategory | Computer Science, Interdisciplinary Applications; Computer Science, Software Engineering | |
dc.description.wosresearcharea | Computer Science | |
dc.identifier.wosid | WOS:000407917500005 | |