Latest Research in Infrastructure Maintenance and Monitoring
32 research papers · 0.0 average citations · 2026 median publication year
Top Research Topics in Infrastructure Maintenance and Monitoring
- Advanced Neural Network Applications — 13 papers
- Computer Vision and Pattern Recognition — 10 papers
- Infrastructure Maintenance and Monitoring — 3 papers
- Advanced Memory and Neural Computing — 1 papers
- Video Surveillance and Tracking Methods — 1 papers
- CCD and CMOS Imaging Sensors — 1 papers
- Advanced Image and Video Retrieval Techniques — 1 papers
- Machine Learning — 1 papers
- Robotic Path Planning Algorithms — 1 papers
Highest-Cited Papers
- Fog-YOLO11n: A Lightweight Traffic Object Detection Framework for Autonomous Driving Under Foggy Conditions
- WLC: Weber-Inspired Local Contrast Metric for Low-Altitude Image Fusion
- EGM-Det: Entropy-Guided Multimodal Adaptive Fusion for UAV RGB-IR Object Detection
- AMSFNet: Adaptive Multi-Scale Fusion Lightweight Network for Real-Time Object Detection in Autonomous Driving
- InterPruner: Interactive Structured Pruning via Taylor-Implicit Criterion and Language-Prior Modulator for Multimodal Object Detection
- FBENet: A Highway Road Debris Detection Network Based on Frequency-Aware Bidirectional Feature Fusion and Efficient Attention Enhancement
- Bus-Mounted Vision Sensing for Traffic Object Detection: BFTD and a Local–Global Attention Framework
- Edge-Oriented Lightweight YOLO-World with Cross-Modal Fusion Adaptation for Multimodal Object Detection and Deployment
- A lightweight foreign object detection framework for high-speed trains with adaptive illumination enhancement
- Learning to recover weak signals: A two-stage graph-based framework for all-weather RGB-T object detection
- High-precision and low-latency object detection with recursive dual-path encoding for event camera
- Frozen High-Resolution Inference for Cross-City Object Detection: An AI City Challenge 2026 Study
- A Lightweight Mobile Monitoring System for Detection of Small-Scale Road Debris
- Real-time traffic light detection for autonomous vehicles
- TriCLE: Tri-Modal Vision-Language Reasoning for Edge-Deployed Fine-Grained Clustering
- A deep learning-based video forensic and intelligence analysis system for Skynet–Mizong surveillance
- A Vehicle Detector Based on Feature Focused Diffusion
- Color and orientation feature-attention sensors for efficient recognition
- Rethinking Detection Calibration: A Coordinate and Direction Perspective
- A Geographic Consistency-Constrained Cross-Modal Super-Resolution Matching Method for UAV Geo-Localization