Use of Photogrammetry and Laser Scanning Technologies in Runway Inspections
Author:
Affiliation:
1. Ph.D. Student, Dept. of Civil and Environmental Engineering, Syracuse Univ., Syracuse, NY. ORCID: .
2. Assistant Professor, Dept. of Civil and Environmental Engineering, Syracuse Univ., Syracuse, NY. ORCID: .
Publisher
American Society of Civil Engineers
Link
https://ascelibrary.org/doi/pdf/10.1061/9780784485262.040
Reference10 articles.
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3. Kim, S., D. Paes, K. Lee, J. Irizarry, and E. N. Johnson. 2019. “UAS-based airport maintenance inspections: Lessons learned from pilot study implementation.” In Proc., Int. Conf. on Computing in Civil Engineering 2019, Reston, VA: ASCE, 382–389.
4. Deep Learning in Data-Driven Pavement Image Analysis and Automated Distress Detection: A Review
5. Hafiz, A., M. Celaya, V. Jha, and M. Frabizzio. 2021. “Semi-automated method to determine pavement condition index on airfields.” In Proc., Int. Conf. on Airfield and Highway Pavements 2021, 171–179.
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