| Title: |
A hybrid review of sewer inspection tools and automated CCTV image analysis techniques |
| Authors: |
Nashat, M; Zayed, T |
| Contributors: |
Department of Building and Real Estate |
| Publisher Information: |
KeAi Publishing Communications Ltd. |
| Publication Year: |
2026 |
| Collection: |
Hong Kong Polytechnic University: PolyU Institutional Repository (PolyU IR) |
| Subject Terms: |
Automated defects detection; Digital technologies; Scientometric analysis; Sewer pipelines; Sustainable drainage systems |
| Description: |
202602 bcch ; Version of Record ; RGC ; Others ; This work was supported by the Research Grants Council of the University Grants Committee (Grant No. RGC-15209022) and the General Research Fund (Grant No. GRF-15202524) in Hong Kong, China. ; Published ; CC |
| Document Type: |
article in journal/newspaper |
| Language: |
English |
| Relation: |
https://hdl.handle.net/10397/117570; 295; 326; 25; OA_Scopus/WOS |
| DOI: |
10.1016/j.undsp.2025.06.004 |
| Availability: |
https://hdl.handle.net/10397/117570; https://doi.org/10.1016/j.undsp.2025.06.004 |
| Rights: |
© 2025 Tongji University. Publishing Services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). ; The following publication Nashat, M., & Zayed, T. (2025). A hybrid review of sewer inspection tools and automated CCTV image analysis techniques. Underground Space, 25, 295-326 is available at https://doi.org/10.1016/j.undsp.2025.06.004. |
| Accession Number: |
edsbas.5D7DA941 |
| Database: |
BASE |