Review on computer aided sewer pipeline defect detection and condition assessment

Keyphrases

• Automated Applications 33%
• Automation Methods 33%
• Computer Science 33%
• Computer Vision 33%
• Computer Vision Techniques 33%
• Computer-aided 100%
• Condition Assessment 100%
• Infrastructure Management 33%
• Inspection Automation 33%
• Inspection Technology 33%
• Inspection Tools 66%
• Machine Learning Techniques 33%
• Management Science 33%
• Pipeline Defect Detection 100%
• Sewer Condition Assessment 33%
• Sewer Network 33%
• Sewer pipelines 100%
• System Serviceability 33%
• Technology Practice 33%
• Tool Comparison 33%
• Visual Inspection 33%

Engineering

• Acceptable Level 50%
• Comprehensive Review 50%
• Computervision 100%
• Condition Assessment 100%
• Defect Detection 100%
• Infrastructure 50%
• Inspection Technology 50%
• Limitations 50%
• Machine Learning Technique 50%
• Review Paper 50%
• Serviceability 50%
• Visual Inspection 50%

Computer Science

• Acceptable Level 50%
• Computer Science 50%
• Computer Vision 100%
• Machine Learning Technique 50%
• Management Infrastructure 50%
• Points of Interest 50%
• Visual Inspection 50%