과제정보
이 연구는 국토교통부/국토교통과학기술진흥원이 시행하고 한국도로공사가 총괄하는 "스마트건설기술개발 국가R&D사업(과제번호 RS-2020-KA158708)"의 지원으로 수행하였습니다.
참고문헌
- Agdas, D., Rice, J. A., Martinez, J. R., Lasa, I. R. (2016). Comparison of Visual Inspection and Structural-Health Monitoring as Bridge Condition Assessment Methods, Journal of Performance of Constructed Facilities, 30(3), Article 04015049.
- Dorafshan, S., Maguire, M. (2018). Bridge Inspection: Human Performance, Unmanned Aerial Systems and Automation, Journal of Civil Structural Health Monitoring, 8, pp. 443-476. https://doi.org/10.1007/s13349-018-0285-4
- Kim, I. H., Jeon, H., Baek, S. C., Hong, W. H., Jung, H. J. (2018). Application of Crack Identification Techniques for an Aging Concrete Bridge Inspection Using an Unmanned Aerial Vehicle, Sensors, 18, Article 1881.
- Lim, R. S., La, H. M., Shan, Z., Sheng, W. (2011). Developing a Crack Inspection Robot for Bridge Maintenance, 2011 IEEE International Conference on Robotics and Automation, pp. 6288-6293.
- Lim, R. S., La, H. M., Sheng, W. (2014). A Robotic Crack Inspection and Mapping System for Bridge Deck Maintenance, IEEE Transactions on Automation Science and Engineering, 11(2), pp. 367-378. https://doi.org/10.1109/TASE.2013.2294687
- Liu, Y. F., Nie, X., Fan, J. S., Liu, X. G. (2020). Image-based Crack Assessment of Bridge Piers Using Unmanned Aerial Vehicles and Three-dimensional Scene Reconstruction, Computer-Aided Civil and Infrastructure Engineering, 35, pp. 511-529. https://doi.org/10.1111/mice.12501
- Maria, A., Tommaselli, G., Luis, M., Reiss, L. (2005). A Photogrammetric Method for Single Image Orientation and Measurement, Photogrammetric Engineering & Remote Sensing, 71, pp. 727-732. https://doi.org/10.14358/PERS.71.6.727
- Martinez, J., Ordonez, C., Arias, P., Armesto, J. (2011). Non-contact 3D Measurement of Buildings Through Close Range Photogrammetry and a Laser Distance Meter, Photogrammetric Engineering & Remote Sensing, 77, pp. 805-811. https://doi.org/10.14358/PERS.77.8.805
- Saleem, M. R., Park, J. W., Lee, J. H., Jung, H. J., Sarwar, M. Z. (2021). Instant Bridge Visual Inspection using an Unmanned Aerial Vehicle by Image Capturing and Geo-tagging System and Deep Convolutional Neural Network, Structural Health Monitoring, 20, pp. 1760-1777. https://doi.org/10.1177/1475921720932384
- Tian, Y., Chen, C., Sagoe-Crentsil, K., Zhang, J., Duan, W., (2022). Intelligent Robotic Systems for Structural Health Monitoring: Applications and Future Trends, Automation in Construction, 139, 104273.
- Yoon, S., Gwon, G. H., Lee, J. H., Jung, H. J. (2021). Three-dimensional Image Coordinate-based Missing Region of Interest Area Detection and Damage Localization for Bridge Visual Inspection Using Unmanned Aerial Vehicles, Structural Health Monitoring, 20, pp. 1462-1475. https://doi.org/10.1177/1475921720918675
- Zhao, S., Kang, F., Li, J. (2022). Concrete Dam Damage Detection and Localisation Based on YOLOv5s-HSC and Photogrammetric 3D Reconstruction, Automation in Construction, 143, Article 104555.