Latest Research in Infrastructure Maintenance and Monitoring
25 research papers · 2026 median publication year
Top Research Topics in Infrastructure Maintenance and Monitoring
- Infrastructure Maintenance and Monitoring — 18 papers
- Computer Vision and Pattern Recognition — 3 papers
- Disordered Systems and Neural Networks — 1 papers
- Wood and Agarwood Research — 1 papers
- Textile materials and evaluations — 1 papers
- 3D Surveying and Cultural Heritage — 1 papers
Highest-Cited Papers
- Instance Segmentation of Underground Roadway Fractures Based on an Improved YOLOv13n-Seg
- Automated Detection and Segmentation of Cracks in Urban Underground Structures Based on YOLOv8-SAM2
- Automated Borehole Core Analysis with Report-Derived Weak Labels and Supervised Crack Segmentation
- Real-Time Road Crack Detection on Smartphones Through ConvLSTM-Based Temporal Knowledge Distillation from a CNN-KAN and VMamba Dual-Path Network
- Engineering-oriented automated segmentation and quantitative analysis of building structural cracks: A multi-mechanism optimized YOLOv11-seg approach
- A Novel Lightweight Framework for Real-Time Pavement Crack Segmentation Based on Knowledge Distillation
- Enhanced Road Crack Segmentation Using Self-Supervised Learning in Motion-Blurred Images
- Hierarchical crack patterns: Identification of crack generations
- Compass: Degradation-Simulated Reciprocal Learning with Lightweight Needle RWKV for Multimodal Crack Segmentation under Missing Modalities
- Hybrid Computer Vision-Based and Multidefect Data Fusion Framework for AI-Enhanced Concrete Bridge Deck Condition Rating
- Concrete Crack Segmentation Algorithm Based on Hybrid-Attention Feature Enhancement
- Topology-Aware Lightweight Crack Segmentation and Automated Quantification via Synergistic Spatial-Channel Enhancement
- Few-shot concrete surface extraction for automated UAV-based building inspection using vision foundation models
- Lightweight embedded detection system for historic wooden architecture using an improved YOLOv8 model
- GeoMamba: Geometric-Prior-Infused Multi-Scale Deformable Visual Mamba for Crack Semantic Segmentation
- A Lightweight CNN–Mamba Hybrid Architecture for Efficient Crack Segmentation
- Foundation Model-Based Pipeline for 3D Damage Localization in Built Infrastructure
- Comparative analysis of deep learning models for garment segmentation in textile recycling
- A UAV–TLS Point-Cloud Fusion Framework for Three-Dimensional Characterization of Mining-Induced Surface Cracks
- An intelligent pavement crack recognition and automatic repair algorithm based on improved DeepLabv3+ and greedy algorithm