AI-Enabled Unmanned Aerial System for Highway Bridge Claims Management
| contributor author | Al Omari, Mohammad | |
| contributor author | Ataei, Hossein | |
| contributor author | Alqaisi, Aaraf | |
| date accessioned | 2026-08-20T11:13:51Z | |
| date available | 2026-08-20T11:13:51Z | |
| date copyright | 2025/10/06 | |
| date issued | 2026 | |
| identifier other | JLADAH.LADR-1331.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4311882 | |
| description abstract | AbstractThe increasing backlog of aging civil infrastructure, particularly bridges, has created an urgent need for efficient inspection, repair, and rehabilitation methods. In the United States, 7.5% or 46,154 of the nation’s bridges are classified as ...Practical ApplicationsThe integration of AI and UAS is transforming how construction claims for highway bridges are managed. These UAS, equipped with advanced cameras, can quickly and safely inspect large bridge structures, replacing traditional, time-... | |
| publisher | American Society of Civil Engineers | |
| title | AI-Enabled Unmanned Aerial System for Highway Bridge Claims Management | |
| type | Journal Article | |
| journal volume | 18 | |
| journal issue | 1 | |
| journal title | Journal of Legal Affairs and Dispute Resolution in Engineering and Construction | |
| identifier doi | 10.1061/JLADAH.LADR-1331 | |
| journal fristpage | 04525093-1 | |
| journal lastpage | 04525093-13 | |
| page | 13 | |
| tree | Journal of Legal Affairs and Dispute Resolution in Engineering and Construction:;2026:;Volume ( 018 ):;issue: 001 | |
| contenttype | Fulltext |
