Deep learning-based predictive models for pavement patching and manholes evaluation

References

• ASTM, 2018. Astm D 6433-18 standard practice for roads and parking lots pavement condition index surveys. Conshohocken, PA, USA: ASTM International West.
   Google Scholar
• Benson, K.R., et al., 1988. Comparison of methods and equipment to conduct pavement distress surveys. Transportation Research Record, 1196.
   Google Scholar
• Commandre, B., et al., 2017. Manhole cover localization in aerial images with a deep learning approach. In: ISPRS Hannover Workshop: HRIGI 17–CMRT 17–ISA 17–EuroCOW 17. 333–338.
   Google Scholar
• Du, Y., et al., 2021. Pavement distress detection and classification based on YOLO network. International Journal of Pavement Engineering, 22 (13), 1659–1672.
   Web of Science ®Google Scholar
• Hadjidemetriou, G.M., Christodoulou, S.E., and Vela, P.A., 2016. Automated detection of pavement patches utilizing support vector machine classification. In: 2016 18th Mediterranean Electrotechnical Conference (MELECON). IEEE, 1–5.
   Google Scholar
• Hassan, S.I., et al., 2022. Detecting patches on road pavement images acquired with 3D laser sensors using object detection and deep learning. In: Proceedings of VISAPP, International Conference on Image Processing and Vision Engineering, 413–420.
   Google Scholar
• Ibragimov, E., et al., 2020. Automated pavement distress detection using region based convolutional neural networks. International Journal of Pavement Engineering, 0 (0), 1–12.
   Google Scholar
• Lei, X., et al., 2020. Automated pavement distress detection and deterioration analysis using street view Map. IEEE Access, 8, 76163–76172.
   Web of Science ®Google Scholar
• Liu, H., et al., 2019a. Manhole cover detection from natural scene based on imaging environment perception. KSII Transactions on Internet and Information Systems, 13 (10), 5095–5111.
   Web of Science ®Google Scholar
• Liu, W., et al., 2019b. Small manhole cover detection in remote sensing imagery with deep convolutional neural networks. ISPRS International Journal of Geo-Information, 8 (1), 49.
   Web of Science ®Google Scholar
• Mattheuwsen, L., and Vergauwen, M., 2020. Manhole cover detection on rasterized mobile mapping point cloud data using transfer learned fully convolutional neural networks. Remote Sensing, 12 (22), 3820.
   Web of Science ®Google Scholar
• Peraka, N.S.P., and Biligiri, K.P., 2020. Pavement asset management systems and technologies: A review. Automation in Construction, 119, 103336.
   Web of Science ®Google Scholar
• Qing, L., et al., 2020. Automated detection of manhole covers in mls point clouds using a deep learning approach. In: IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 1580–1583.
   Google Scholar
• Radopoulou, S.C., and Brilakis, I., 2017. Automated detection of multiple pavement defects. Journal of Computing in Civil Engineering, 31 (2), 04016057.
   Web of Science ®Google Scholar
• Ragnoli, A., De Blasiis, M.R., and Di Benedetto, A., 2018. Pavement distress detection methods: A review. Infrastructures, 3 (4), 1–19.
   Google Scholar
• Riid, A., et al., 2019. Pavement distress detection with deep learning using the orthoframes acquired by a mobile mapping system. Applied Sciences (Switzerland), 9 (22.
   Google Scholar
• Santos, A., et al., 2020. Storm-drain and manhole detection using the retinanet method. Sensors (Switzerland), 20 (16), 1–12.
   Web of Science ®Google Scholar
• Sultani, W., Mokhtari, S., and Yun, H.-B., 2017. Automatic pavement object detection using superpixel segmentation combined with conditional random field. IEEE Transactions on Intelligent Transportation Systems, 19 (7), 2076–2085.
   Web of Science ®Google Scholar
• Xiong, X., and Tan, Y., 2023. Pixel-Level patch detection from full-scale asphalt pavement images based on deep learning. International Journal of Pavement Engineering, 24 (1.
   Web of Science ®Google Scholar
• Zhang, C., et al., 2022. Pavement distress detection using convolutional neural network (CNN): A case study in Montreal, Canada. International Journal of Transportation Science and Technology, 11 (2), 298–309.
   Google Scholar
• Zhang, H., et al., 2022. Efficient approach to automated pavement manhole cover detection with modified faster R-CNN. Intelligent Transportation Infrastructure, 1.
   Google Scholar