Search Results - mohammad+jahanshahi

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11-668 - Adaptive Vision-Based Crack Detection with Depth Perception

Civil infrastructure inspection Building inspection Abstract USC researchers introduce a vision-based crack detection methodology that processes 2D digital images by analyzing the scene's geometry. The methodology incorporates feature extraction and classification techniques to distinguish cracks from non-crack patterns. Experimental tests have...

Published: 11/14/2025 Inventor(s): Sami Masri, Mohammad Jahanshahi
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12-288 - Autonomous Pavement Defect Detection and Quantification

Pavement condition assessment Abstract USC researchers have developed a cost-effective solution for autonomously assessing road-surface condition that utilizes an RGB color image and an infrared projector and camera for depth sensing. The system can autonomously detect and quantify various road conditions such as patching, cracks, and potholes, and...