참고문헌 (24)

1. Bang S., Park S., Kim H. and Kim H.(2018), "A deep residual network with transfer learning for pixel-level road crack detection," In Proc. International Symposium on Automation and Robotics in Construction, Berlin, Germany, vol. 35, pp.1-4. 

2. Bang S., Park S., Kim H. and Kim H.(2019), "Encoder-decoder network for pixel level road crack detection in black-box images," Computer-Aided Civil and Infrastructure Engineering, vol. 34, no. 8, pp.713-727. 

   상세보기

3. Fan R.(2018), Real-time computer stereo vision for automotive applications, Doctoral Dissertation, University of Bristol. 

4. Fan Z., Li C., Chen Y., Wei J., Loprencipe G., Chen X. and Di Mascio P.(2020), "Automatic crack detection on road pavements using encoder-decoder architecture," Materials, vol. 13, p.2960. 

   상세보기

5. Feng H., Xu G. S. and Guo Y.(2018), "Multi-scale classification network for road crack detection," IET Intelligent Transport Systems, vol. 13, no. 2, pp.398-405. 

   상세보기

6. Goodfellow I. J., Pouget-Abadie J., Mirza M., Xu B., Warde-Farley D., Ozair S., Courville A. and Bengio Y.(2014), Generative adversarial networks [Online], arXiv:1406.2661. Available at https://arxiv.org/abs/1406.2661 

7. Guan H., Li J., Yu Y., Chapman M. and Wang C.(2014), "Automated road information extraction from mobile laser scanning data," IEEE Transactions on Intelligent Transportation Systems, vol. 16, no. 1, pp.194-205. 

   상세보기

8. He K., Zhang X., Ren S. and Sun J.(2016), "Deep residual learning for image recognition," In Proc. IEEE Conference on Computer Vision and Pattern Recognition, Las Vegas, NV, USA, pp.770-778. 

9. Huang G., Liu Z., Van Der Maaten L. and Weinberger K. Q.(2017), "Densely connected convolutional networks," In Proc. IEEE Conference on Computer Vision and Pattern Recognition, Honolulu, HI, USA, pp.4700-4708. 

10. Hung W. C., Tsai Y. H., Liou Y. T., Lin Y. Y. and Yang M. H.(2018), Adversarial learning for semi-supervised semantic segmentation [Online], arXiv:1802.07934. Available at https://arxiv.org/abs/1802.07934 

11. Jenkins M. D., Carr T. A., Iglesias M. I., Buggy T. and Morison G.(2018), "A deep convolutional neural network for semantic pixel-wise segmentation of road and pavement surface cracks," In Proc. 26th European Signal Processing Conference(EUSIPCO), Rome, Italy pp.2120-2124. 

12. Kingma D. P. and Ba J.(2014), Adam: A method for stochastic optimization [Online], arXiv:1412.6980. Available at https://arxiv.org/abs/1412.6980 

13. Laurent J., Hebert J. F., Lefebvre D. and Savard Y.(2012), "Using 3D laser profiling sensors for the automated measurement of road surface conditions," In Proc. 7th RILEM International Conference on Cracking in Pavements, Delft, Netherlands, pp.157-167. 

14. Li G., Wan J., He S., Liu Q. and Ma B.(2020), "Semi-supervised semantic segmentation using adversarial learning for pavement crack detection," IEEE Access, vol. 8, pp.51446-51459. 

    상세보기

15. Madli R., Hebbar S., Pattar P. and Golla V.(2015), "Automatic detection and notification of potholes and humps on roads to aid drivers," IEEE Sensors Journal, vol. 15, no. 8, pp.4313-4318. 

    상세보기

16. Mei Q., Gul M. and Azim M. R.(2020), "Densely connected deep neural network considering connectivity of pixels for automatic crack detection," Automation in Construction, vol. 110, p.103018. 

    상세보기

17. Ouali Y., Hudelot C. and Tami M.(2020), An overview of deep semi-supervised learning [Online], arXiv:2006.05278. Available at https://arxiv.org/abs/2006.05278 

18. Romera E., Alvarez J. M., Bergasa L. M. and Arroyo R.(2017), "Erfnet: Efficient residual factorized convnet for real-time semantic segmentation," IEEE Transactions on Intelligent Transportation Systems, vol. 19, no. 1, pp.263-272. 

    상세보기

19. Shi Y., Cui L., Qi Z., Meng F. and Chen Z.(2016), "Automatic road crack detection using random structured forests," IEEE Transactions on Intelligent Transportation Systems, vol. 17, no. 12, pp.3434-3445. 

    상세보기

20. Shim S., Kim J., Cho G. C. and Lee S. W.(2020), "Multiscale and adversarial learning-based semi-supervised semantic segmentation approach for crack detection in concrete structures," IEEE Access, vol. 8, pp.170939-170950. 

    상세보기

21. Singla A., Bertino E. and Verma D.(2019), "Overcoming the lack of labeled data: Training intrusion detection models using transfer learning," In Proc. IEEE International Conference on Smart Computing(SMARTCOMP), Washington, DC, USA, pp.69-74. 

22. Zhang A., Wang K. C. P., Fei Y., Liu Y., Chen C., Yang G., Li J. Q., Yang E. and Qiu S.(2019), "Automated pixel-level pavement crack detection on 3D asphalt surfaces with a recurrent neural network," Computer-Aided Civil and Infrastructure Engineering, vol. 34, no. 3, pp.213-229. 

    상세보기

23. Zhang Y., Wang S., Chen B., Cao J. and Huang Z.(2021), "TrafficGAN: Network-scale deep traffic prediction with generative adversarial nets," IEEE Transactions on Intelligent Transportation Systems, vol. 22, no. 1, pp.219-230. 

    상세보기

24. Zou Q., Zhang Z., Li Q., Qi X., Wang Q. and Wang S.(2018), "Deepcrack: Learning hierarchical convolutional features for crack detection," IEEE Transactions on Image Processing, vol. 28, no. 3, pp.1498-1512. 

    상세보기