
With the increasing traffic load worldwide, pavement cracks are inevitably caused. Pavement under poor conditions causes structural damages and greatly threatens public safety, thus making an efficient pavement crack inspection and repair essential. In this thesis, we develop algorithms for an integrated pavement crack inspection and repair system. Crack inspection methods are developed based on 2D pavement images and 3D pavement profiles. Binary crack maps and crack geometrical information are produced for the pavement crack assessment. Besides, path planning algorithms are developed to determine the shortest path for automatic crack sealing.
Artificial intelligence not elsewhere classified, Computer vision, Machine learning not elsewhere classified
Artificial intelligence not elsewhere classified, Computer vision, Machine learning not elsewhere classified
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