Automatic Crack Detection on Road Pavements Using Encoder Decoder Architecture

1 Jul 2020Zhun FanChong LiYing ChenJiahong WeiGiuseppe LoprencipeXiaopeng ChenPaola Di Mascio

Inspired by the development of deep learning in computer vision and object detection, the proposed algorithm considers an encoder-decoder architecture with hierarchical feature learning and dilated convolution, named U-Hierarchical Dilated Network (U-HDN), to perform crack detection in an end-to-end method. Crack characteristics with multiple context information are automatically able to learn and perform end-to-end crack detection... (read more)

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