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Automated Defect Quantification in Concrete Bridges Using Robotics and Deep Learning
Publisher: ASCE
Abstract: This work presents a process for automated end-to-end inspection of area defects—specifically spalls and delaminations—in RC bridges. The process uses a mobile robotic platform to collect three-dimensional (3D) spatial ...
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