ReviewSensors (Basel, Switzerland)2023
Computer Vision-Based Bridge Inspection and Monitoring: A Review.
Review in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed.
- Concrete Crack Detection in Extremely Dark Environments Based on Infrared-Visible Multi-Level Registration Fusion and Frequency Decoupling.Sensors (Basel, Switzerland) · 2026Article
- Risks Related to Advanced Bridge Monitoring Technologies.Sensors (Basel, Switzerland) · 2026Review
- SIFT-SNN for Traffic-Flow Infrastructure Safety: A Real-Time Context-Aware Anomaly Detection Framework.Journal of imaging · 2026Article
- Unsupervised Learning-Based Anomaly Detection for Bridge Structural Health Monitoring: Identifying Deviations from Normal Structural Behaviour.Sensors (Basel, Switzerland) · 2026Article
- Methodologies for Remote Bridge Inspection-Review.Sensors (Basel, Switzerland) · 2025Review
- The State of the Art and Potentialities of UAV-Based 3D Measurement Solutions in the Monitoring and Fault Diagnosis of Quasi-Brittle Structures.Sensors (Basel, Switzerland) · 2025Review
- A Roadmap for Ubiquitous Crowdsourced Mobile Sensing-Based Bridge Modal Identification.Sensors (Basel, Switzerland) · 2025Article
- Machine Vision-Based Real-Time Monitoring of Bridge Incremental Launching Method.Sensors (Basel, Switzerland) · 2024Article
- Computer Vision Method for Automatic Detection of Microstructure Defects of Concrete.Sensors (Basel, Switzerland) · 2024Article
- An Improved Mask R-CNN Micro-Crack Detection Model for the Surface of Metal Structural Parts.Sensors (Basel, Switzerland) · 2023Article
- CLensRimVision: A Novel Computer Vision Algorithm for Detecting Rim Defects in Contact Lenses.Sensors (Basel, Switzerland) · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Bridge inspection and monitoring are usually used to evaluate the status and integrity of bridge structures to ensure their safety and reliability. Computer vision (CV)-based methods have the advantages of being low cost, simple to operate, remote, and non-contact, and have been widely used in bridge inspection and monitoring in recent years. Therefore, this paper reviews three significant aspects of CV-based methods, including surface defect detection, vibration measurement, and vehicle parameter identification. Firstly, the general procedure for CV-based surface defect detection is introduced, and its application for the detection of cracks, concrete spalling, steel corrosion, and multi-defects is reviewed, followed by the robot platforms for surface defect detection. Secondly, the basic principle of CV-based vibration measurement is introduced, followed by the application of displacement measurement, modal identification, and damage identification. Finally, the CV-based vehicle parameter identification methods are introduced and their application for the identification of temporal and spatial parameters, weight parameters, and multi-parameters are summarized. This comprehensive literature review aims to provide guidance for selecting appropriate CV-based methods for bridge inspection and monitoring.
Indexed as
Identifiers
What OpenQuestion holds
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.