Assessment of the Resilience of Pedestrian Roads based on Image Deep Learning Models
| Autor(en): |
Donggyun Ku
(Department of Transportation Engineering, University of Seoul, Seoul, Republic of Korea)
Minje Choi (Department of Transportation Engineering/Department of Smart Cities, University of Seoul, Seoul, Republic of Korea) Haram Oh (Department of Transportation Engineering/Department of Smart Cities, University of Seoul, Seoul, Republic of Korea) Seungheon Shin (Department of Transportation Engineering, University of Seoul, Seoul, Republic of Korea) Seungjae Lee (Department of Transportation Engineering, University of Seoul, Seoul, Republic of Korea) |
|---|---|
| Medium: | Fachartikel |
| Sprache(n): | Englisch |
| Veröffentlicht in: | Proceedings of the Institution of Civil Engineers - Municipal Engineer, September 2022, n. 3, v. 175 |
| Seite(n): | 1-41 |
| DOI: | 10.1680/jmuen.21.00037 |
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Datenseite - Reference-ID
10658461 - Veröffentlicht am:
17.02.2022 - Geändert am:
10.12.2022
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