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The following bibliography contains all publications indexed in this database that are linked with this name as either author, editor or any other kind of contributor.

  1. Han, Chengjia / Yang, Handuo / Yang, Yaowen (2024): Enhancing pixel-level crack segmentation with visual mamba and convolutional networks. In: Automation in Construction, v. 168 (December 2024).

    https://doi.org/10.1016/j.autcon.2024.105770

  2. Yang, Handuo / Ma, Tao / Tong, Zheng / Wang, Huajie / Wang, Ning / Cheng, Hanglin (2024): Deployment strategies for lightweight pavement defect detection using deep learning and inverse perspective mapping. In: Automation in Construction, v. 167 (November 2024).

    https://doi.org/10.1016/j.autcon.2024.105682

  3. Han, Chengjia / Yang, Handuo / Ma, Tao / Wang, Shun / Zhao, Chaoyang / Yang, Yaowen (2024): CrackDiffusion: A two-stage semantic segmentation framework for pavement crack combining unsupervised and supervised processes. In: Automation in Construction, v. 160 (April 2024).

    https://doi.org/10.1016/j.autcon.2024.105332

  4. Sun, Zhaoyun / Zhai, Junzhi / Huyan, Ju / Li, Wei / Yang, Handuo (2023): Feature representation improved Faster R-CNN model for high efficiency pavement crack detection. In: Canadian Journal of Civil Engineering / Revue canadienne de génie civil, v. 50, n. 2 (February 2023).

    https://doi.org/10.1139/cjce-2022-0137

  5. Yang, Handuo / Huyan, Ju / Ma, Tao / Tong, Zheng / Han, Chengjia / Xie, Tianyan (2022): Novel Computer Tomography image enhancement deep neural networks for asphalt mixtures. In: Construction and Building Materials, v. 352 (October 2022).

    https://doi.org/10.1016/j.conbuildmat.2022.129067

  6. Huyan, Ju / Ma, Tao / Li, Wei / Yang, Handuo / Xu, Zhengchao (2022): Pixelwise asphalt concrete pavement crack detection via deep learning‐based semantic segmentation method. In: Structural Control and Health Monitoring, v. 29, n. 8 (3 July 2022).

    https://doi.org/10.1002/stc.2974

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