Karimoddini, A., Cavalline, T. L., Khan, M., Marfo, E., & Wu, T. (2024). Workflows, Implementation Tools, and Guidance for Efficient UAV-enabled Bridge Inspection (Report No. FHWA/NC/2022-10). North Carolina Department of Transportation. Research and Development Unit. https://rosap.ntl.bts.gov/view/dot/82292
Karimoddini, Ali, Tara L Cavalline, Mubbashar Khan, Emmanuel Marfo, and Tau Wu. Workflows, Implementation Tools, and Guidance for Efficient UAV-enabled Bridge Inspection. Report no. FHWA/NC/2022-10. North Carolina Department of Transportation. Research and Development Unit, 2024. https://rosap.ntl.bts.gov/view/dot/82292.
Karimoddini, Ali, et al. Workflows, Implementation Tools, and Guidance for Efficient UAV-enabled Bridge Inspection. North Carolina Department of Transportation. Research and Development Unit, 2024, Report no. FHWA/NC/2022-10, ROSA P. https://rosap.ntl.bts.gov/view/dot/82292.
This project developed workflows and tools to advance the implementation and adoption of UASs to support bridge inspection practices. A series of workflows was developed to guide inspection personnel when conducting UAS- enabled bridge inspections, and guidance was prepared to assist agencies in the identification of bridge and site characteristics that should be considered when determining the suitability of a bridge for UAS-enabled bridge inspection. Workflows developed as a part of this project adhere to FHWA regulations, NCDOT regulations, and UAS operation requirements. The workflows align with FHWA inspection requirements, the Bridge Inspection Reference Manual (BIRM), and the NCDOT Structures Management Unit (SMU) Inspection Manual. The NCDOT-developed Wearable Inspection and Grading Information Network System (WIGINS) software, historically used to support bridge inspection data collection and archiving, was also used to inform the development of the UAS-enabled bridge inspection workflows. This work supports data entry into the WIGINS Element software, as currently used by inspectors in the field and office.
Karimoddini, A., Cavalline, T. L., Khan, M., Marfo, E., & Wu, T. (2024). Workflows, Implementation Tools, and Guidance for Efficient UAV-enabled Bridge Inspection (Report No. FHWA/NC/2022-10). North Carolina Department of Transportation. Research and Development Unit. https://rosap.ntl.bts.gov/view/dot/82292
Karimoddini, Ali, Tara L Cavalline, Mubbashar Khan, Emmanuel Marfo, and Tau Wu. Workflows, Implementation Tools, and Guidance for Efficient UAV-enabled Bridge Inspection. Report no. FHWA/NC/2022-10. North Carolina Department of Transportation. Research and Development Unit, 2024. https://rosap.ntl.bts.gov/view/dot/82292.
Karimoddini, Ali, et al. Workflows, Implementation Tools, and Guidance for Efficient UAV-enabled Bridge Inspection. North Carolina Department of Transportation. Research and Development Unit, 2024, Report no. FHWA/NC/2022-10, ROSA P. https://rosap.ntl.bts.gov/view/dot/82292.
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