研究论文
Automated detection of faults in sewers using CCTV image sequences
Joshua Myrans, Richard Everson, Zoran Kapelan
University of Exeter Devon & Exeter Institution
来源Automation in Construction
年份2018
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学术脉络
学科主题
工程Water Systems and Optimization
Infrastructure Maintenance and Monitoring · Water Quality Monitoring Technologies
参考文献 44
被引 3,345
An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
被引 13,919Nello Cristianini, John Shawe‐Taylor · Cambridge University Press eBooks · 2000
Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope
被引 6,433Aude Oliva, Antonio Torralba · International Journal of Computer Vision · 2001
此处列出前 3 条
引用本文 79
Autopilot control unmanned aerial vehicle system for sewage defect detection using deep learning
被引 220Binay Kumar Pandey, Digvijay Pandey, Kameshwar Sahani · Engineering Reports · 2024
Underground sewer pipe condition assessment based on convolutional neural networks
被引 209Syed Ibrahim Hassan, L. Minh Dang, Irfan Mehmood · Automation in Construction · 2019
A unified convolutional neural network integrated with conditional random field for pipe defect segmentation
被引 162Mingzhu Wang, Jack C.P. Cheng · Computer-Aided Civil and Infrastructure Engineering · 2019
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