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    Automated Defect Quantification in Concrete Bridges Using Robotics and Deep Learning 

    Source: Journal of Computing in Civil Engineering:;2020:;Volume ( 034 ):;issue: 005
    Author(s): Evan McLaughlin; Nicholas Charron; Sriram Narasimhan
    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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