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Hierarchical Convolutional Neural Network with Feature Preservation and Autotuned Thresholding for Crack Detection
The proposed technique is then applied to identify surface cracks on the surface of roads, bridges or pavements.
Automatic Crack Detection in Built Infrastructure Using Unmanned Aerial Vehicles
Our approach includes two stages, data collection using unmanned aerial vehicles (UAVs) and crack detection using histogram analysis.
Enhanced discrete particle swarm optimization path planning for UAV vision-based surface inspection
In built infrastructure monitoring, an efficient path planning algorithm is essential for robotic inspection of large surfaces using computer vision.
Image segmentation based on histogram of depth and an application in driver distraction detection
This study proposes an approach to segment human object from a depth image based on histogram of depth values.
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