Automated sewer pipe defect tracking in CCTV videos based on defect detection and metric learning

2020/10/22 by Mingzhu Wang, Srinath Shiv Kumar, Jack C.P. Cheng · 2 citations
Computer Science · Engineering · #Anomaly Detection Techniques and Applications #Infrastructure Maintenance and Monitoring #Water Systems and Optimization

paper · doi:10.1016/j.autcon.2020.103438

openalex publication_date 2020/10/22 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/30

Citations

• Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
• Underground sewer pipe condition assessment based on convolutional neural networks
• A deep learning-based framework for an automated defect detection system for sewer pipes

Cited by

• Self-supervised learning for multi-label sewer defect classification
• Multi-scale hybrid vision transformer and Sinkhorn tokenizer for sewer defect classification