![]() The authors build the network using the encoder–decoder architecture and adopt a pyramid module to exploit global context information for the complex topology structures of cracks. This study proposes a novel pavement crack detection method based on an end-to-end trainable deep convolution neural network. However, as an important part of the intelligent transportation system, automatic pavement crack detection is challenging due to the poor continuity of cracks, the different width of cracks, and the low contrast between cracks and the surrounding pavement. IET Generation, Transmission & DistributionĪutomatic detection of pavement crack is an important task for conducting road maintenance.IET Electrical Systems in Transportation.IET Cyber-Physical Systems: Theory & Applications.IET Collaborative Intelligent Manufacturing.CAAI Transactions on Intelligence Technology.
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