Sewer damage detection from imbalanced CCTV inspection data using deep convolutional neural networks with hierarchical classification

@inproceedings{Li2019SewerDD,
  title={Sewer damage detection from imbalanced CCTV inspection data using deep convolutional neural networks with hierarchical classification},
  author={Duanshun Li and Anran Cong and Shuai Guo},
  year={2019}
}
Abstract Accurate infrastructure condition assessment is critical for optimized maintenance and rehabilitation plan. Closed Circuit Television (CCTV) inspection has been widely applied in the internal inspection of sewerage systems. However, the manual approach adopted under current practice is expertise intensive and time-consuming. Previous research has attempted to apply specialized image processing techniques for the detection of specific defects with engineered features, such as cracks and… CONTINUE READING