ReviewSensors (Basel, Switzerland)2022
Vision-Based Defect Inspection and Condition Assessment for Sewer Pipes: A Comprehensive Survey.
Review in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
6 citing papers in PubMed.
- Structure-Constrained RGB-D Joint Estimation of Robot Pose and 3D Damage Location in Weakly Textured Pipelines.Sensors (Basel, Switzerland) · 2026Article
- Design of an in-pipe inspection robotic system (IPIRS) with YOLOv8-LSTM integration for real-time in-pipe navigation.Scientific reports · 2026Article
- Improving Sewer Damage Inspection: Development of a Deep Learning Integration Concept for a Multi-Sensor System.Sensors (Basel, Switzerland) · 2024Article
- Defect Detection and 3D Reconstruction of Complex Urban Underground Pipeline Scenes for Sewer Robots.Sensors (Basel, Switzerland) · 2024Article
- Lightweight Sewer Pipe Crack Detection Method Based on Amphibious Robot and Improved YOLOv8n.Sensors (Basel, Switzerland) · 2024Article
- Quantitative Detection Technology for Geometric Deformation of Pipelines Based on LiDAR.Sensors (Basel, Switzerland) · 2023Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Due to the advantages of economics, safety, and efficiency, vision-based analysis techniques have recently gained conspicuous advancements, enabling them to be extensively applied for autonomous constructions. Although numerous studies regarding the defect inspection and condition assessment in underground sewer pipelines have presently emerged, we still lack a thorough and comprehensive survey of the latest developments. This survey presents a systematical taxonomy of diverse sewer inspection algorithms, which are sorted into three categories that include defect classification, defect detection, and defect segmentation. After reviewing the related sewer defect inspection studies for the past 22 years, the main research trends are organized and discussed in detail according to the proposed technical taxonomy. In addition, different datasets and the evaluation metrics used in the cited literature are described and explained. Furthermore, the performances of the state-of-the-art methods are reported from the aspects of processing accuracy and speed.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.