Author:
Lu Jiajun,Wu Jingbing,Lu Hong,Qi Junde,Huang He,Zhang Jun
Publisher
Springer Nature Singapore
Reference19 articles.
1. Linjie, B., et al.: Research on intelligent nondestructive testing technology in steel structure bridge inspection. Creen Construct. Intell. Build. 67–69 (2024)
2. Feng, C.Q., et al.: Crack assessment using multi-sensor fusion simultaneous localization and mapping (SLAM) and image super-resolution for bridge inspection. Autom. Constr. 155, 105047 (2023)
3. Dan, D., et al.: Automatic recognition of surface cracks in bridges based on 2D-APES and mobile machine vision. Measurement 168, 108429 (2021)
4. Chun, P., et al.: Automatic detection method of cracks from concrete surface imagery using twotep light gradient boosting machine. CACAIE 36(1), 61–72 (2020)
5. Chun, P., et al.: Random forest-based evaluation technique for internal damage in reinforced concrete featuring multiple nondestructive testing results. Constr. Build. Mater. 253 (2020)