Abstract
The most significant task aimed at maintaining the bridge is the “bridge deck crack inspection”. Conventionally, the inspector identifies the cracks utilizing eyes and notices the crack location manually. Nevertheless, accuracy of inspection outcome is less because of “subjective nature of human judgment”. And Suggested a “crack inspection system” which utilizes the mobile robot equipped with the camera to gather bridge deck pictures. And in this model, “Laplacian of Gaussian (LoG) algorithm” is utilized to identify cracks & “global crack map” is achieved by localization of robot and “camera calibration”. Ensuring that robot gathers entire bridge deck pictures, the “path planning algorithm” on the basis of genetic-algorithm will be improved. And the “path planning algorithm” identifies the solution that reduces the count of turns and moving distance. The evaluation is done on the suggested method by both experiments & simulations.
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