Review on Deeply Supervised Convolutional Neural Network for Pavement Crack Detection
Abstract & Details
Research Area
Computer Science and Engineering
Keywords
Convolutional Neural Network
Fault analysis
Encoder-decoder
Deep supervision
multiscale feature fusion.
Abstract
Pavement crack detection is an important problem in road maintenance. There are many processing methods, including traditional and modern methods, solving this issue. Traditional methods use edge detection or some other digital image processing for crack detection, but these approaches are sensitive to many types of noise and unwanted objects on the road. For the purpose of increasing accuracy, image pre-processing methods are required for many of these techniques. Recently, some techniques that utilize deep learning to detect cracks in images have achieved high accuracy, without pre-processing. However, some of them are very complicated, some make use of manually collected data and some methods still need some form of pre-processing. In this paper we are going to get insight on some of the methods used in the process of pavement crack detection.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Neetu Vijayananda | Sapthagiri College Of Engineering |
| 2 | Dr. Praveen Kumar K V | Sapthagiri College Of Engineering |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Vijayananda, Neetu & V, Dr. Praveen Kumar K (2023). Review on Deeply Supervised Convolutional Neural Network for Pavement Crack Detection. International Journal of Advance Research and Innovative Ideas In Education, 9(3), 998-1003.
MLA Style
Vijayananda, Neetu, and Dr. Praveen Kumar K V. "Review on Deeply Supervised Convolutional Neural Network for Pavement Crack Detection." International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 3, 2023, pp. 998-1003.
IEEE Style
Neetu Vijayananda and Dr. Praveen Kumar K V, "Review on Deeply Supervised Convolutional Neural Network for Pavement Crack Detection," International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 3, pp. 998-1003, 2023.
Vancouver Style
Vijayananda Neetu, V Dr. Praveen Kumar K. Review on Deeply Supervised Convolutional Neural Network for Pavement Crack Detection. International Journal of Advance Research and Innovative Ideas In Education. 2023;9(3):998-1003.
Harvard Style
Vijayananda, Neetu & V, Dr. Praveen Kumar K (2023) 'Review on Deeply Supervised Convolutional Neural Network for Pavement Crack Detection', International Journal of Advance Research and Innovative Ideas In Education, 9(3), pp. 998-1003.
Chicago Style
Vijayananda, Neetu and Dr. Praveen Kumar K V. "Review on Deeply Supervised Convolutional Neural Network for Pavement Crack Detection." International Journal of Advance Research and Innovative Ideas In Education 9, no. 3 (2023): 998-1003.
Turabian Style
Vijayananda, Neetu and Dr. Praveen Kumar K V. "Review on Deeply Supervised Convolutional Neural Network for Pavement Crack Detection." International Journal of Advance Research and Innovative Ideas In Education 9, no. 3 (2023): 998-1003.
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