Automated Concrete Bridge Deck Inspection Using Unmanned Aerial System–Collected Data: A Deep Learning Approach

dc.contributor.author	Khatry, Kalyan
dc.contributor.author	Elmi, Sayda
dc.contributor.author	Samsami, Reihaneh
dc.date.accessioned	2026-08-20T10:40:51Z
dc.date.available	2026-08-20T10:40:51Z
dc.date.copyright	2026/02/20
dc.date.issued	2026
dc.identifier.other	AOMJAH.AOENG-0091.pdf
dc.identifier.uri	http://yetl.yabesh.ir/yetl1/handle/yetl/4311115
dc.description.abstract	Abstract Inspecting concrete bridge decks is essential for ensuring infrastructure safety and durability, yet traditional manual inspection methods are labor-intensive, time-consuming, and prone to human error, creating demand for automated solutions. ...
dc.publisher	American Society of Civil Engineers
dc.title	Automated Concrete Bridge Deck Inspection Using Unmanned Aerial System–Collected Data: A Deep Learning Approach
dc.type	Journal Article
dc.journal.volume	4
dc.journal.issue	1
dc.journal.title	ASCE OPEN: Multidisciplinary Journal of Civil Engineering
dc.identifier.doi	10.1061/AOMJAH.AOENG-0091
dc.journal.fristpage	04026004-1
dc.journal.lastpage	04026004-12
dc.page	12
dc.tree	ASCE OPEN: Multidisciplinary Journal of Civil Engineering:;2026:;Volume ( 004 ):;issue: 001
dc.contenttype	Fulltext