A Novel Applicable Shadow Resistant Neural Network Model for High-Efficiency Grid-Level Pavement Crack Detection

To address two key challenges-limited grid-level detection capability and difficulty in detecting pavement cracks in complex environments, this study proposes a novel neural network model called CrackcellNet. This innovative model incorporates an output structure that enables end-to-end grid recogni...

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Bibliographic Details

Published in:	IEEE transactions on artificial intelligence Vol. 5; no. 9; pp. 4535 - 4549
Main Authors:	Yang, Handuo, Huyan, Ju, Ma, Tao, Song, Yitao, Han, Chengjia
Format:	Journal Article
Language:	English
Published:	IEEE 01-09-2024
Subjects:	Cameras Complexity theory Computational modeling Computer vision Convolution deep convolutional neural networks (DCNN) grid level detection Lighting pavement crack detection Roads shadow augmentation Surface cracks
Online Access:	Get full text
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