Latest Research in Infrastructure Maintenance and Monitoring
27 research papers · 2026 median publication year
Top Research Topics in Infrastructure Maintenance and Monitoring
- Infrastructure Maintenance and Monitoring — 8 papers
- Computer Vision and Pattern Recognition — 4 papers
- Advanced Neural Network Applications — 4 papers
- Belt Conveyor Systems Engineering — 2 papers
- Anomaly Detection Techniques and Applications — 1 papers
- RFID technology advancements — 1 papers
- Visual Attention and Saliency Detection — 1 papers
- Building materials and conservation — 1 papers
- Automated Road and Building Extraction — 1 papers
- Mechanical stress and fatigue analysis — 1 papers
Highest-Cited Papers
- YOLO26-RD: An End-to-End Road Damage Detection Network With Learnable Contrast Enhancement and Edge-Guided Downsampling
- WAAR-Net: Weakly-significant Anomaly Area Recognition Network for Visual Detection under Subtle Feature Conditions
- A Dual-Camera Edge Sensing Framework with Zone-Aware Multi-Object Tracking for Sensorless Smart Vending Cabinets
- Information Retention and Feature Screening Synergistic Network for Aviation Ground Safety and Protective Devices
- Why floor plan object detection breaks under real scans: a controlled study of robustness limits
- Unified multi-task YOLO-Lite framework for road defect detection and image-level classification with edge-optimized quantization and explainable visual inference
- RMR-P: Road Metadata-Aware Restoration for Pavement Inspection
- GhostNetV2-YOLO: A Lightweight Detector for Multi-View Aesthetic Object Detection in Home Environments
- A deep learning-driven mobile application for monitoring of tile degradation in heritage buildings
- Highway foreground picture distress detection method based on homography matrix and object detection
- XrayCLIP: A VLM-Based X-Ray Security Inspection System for Railway Safety
- A robust road defect detection method for UAV imagery based on synergistic attention and adaptive feature refinement
- Damage Classification for 3D Point Cloud Data via 3D Data Analysis and Vision Foundation Model-based 2D Projections
- A Method for Portal Crane Wire Rope Recognition Based on Improved PointNet++
- A Comprehensive Single-Camera Deep Learning Framework for Detecting Cracks and Potholes, Classifying Severity, and Quantifying Pothole Dimensions
- An RPP-YOLOv11 model for road crack detection
- An Automated Recognition Framework for Surface Deterioration Features of StoneSculptural Artifacts in the Yungang Grottoes Based on Deep Learning
- Adaptive Universal Pavement Distress Detection Based on Transfer Learning and Deep Learning
- A multi-frame UAV video inpainting and deep learning framework for vehicle-occlusion-free pavement distress detection
- Real-Time Road Condition Detection and Mapping Using YOLOv11 and Built-In CarDashcam