AN EXPERIMENTAL VALIDATION OF PHASE-BASED MOTION MAGNIFICATION FOR STRUCTURES WITH DEVELOPING CRACKS AND TIME-VARYING CONFIGURATIONS

An Experimental Validation of Phase-Based Motion Magnification for Structures with Developing Cracks and Time-Varying Configurations

In this study, Computer Vision and Phase-Based Motion Magnification (PBMM) are validated for continuous Structural Health Monitoring (SHM) purposes.The aim is to identify the exact instant of occurrence for damage or abrupt structural changes from video-extracted, very low amplitude (barely visible) vibrations.The study presents three experimental

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MFSA-Net: Semantic Segmentation With Camera-LiDAR Cross-Attention Fusion Based on Fast Neighbor Feature Aggregation

Given the inherent limitations of camera-only and LiDAR-only methods in performing semantic segmentation tasks in large-scale complex environments, multimodal information fusion for semantic segmentation has become a focal point of contemporary Utensils research.However, significant modal disparities often result in existing fusion-based methods st

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