A Framework for Designing Unsupervised Pothole Detection by Integrating Feature Extraction Using Deep Recurrent Neural Network
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Computer Science Applications
Link
https://link.springer.com/content/pdf/10.1007/s11277-022-09790-z.pdf
Reference43 articles.
1. Fan, R., Ozgunalp, U., Hosking, B., Liu, M., & Pitas, I. (2019). Pothole detection based on disparity transformation and road surface modeling. IEEE Transactions on Image Processing, 29, 897–908.
2. Sathya, R., & Saleena, B. (2022). CNN-MAO: Convolutional neural network-based modified aquilla optimization algorithm for pothole identification from thermal images. Signal Image and Video Processing. https://doi.org/10.1007/s11760-022-02189-0
3. Kang, B. H. & Choi, S. I. (2017, July). Pothole detection system using 2D LiDAR and camera. In 2017 Ninth international conference on ubiquitous and future networks (ICUFN), IEEE, (pp. 744–746).
4. Tsai, Y. C., & Chatterjee, A. (2018). Pothole detection and classification using 3D technology and watershed method. Journal of Computing in Civil Engineering, 32(2), 04017078.
5. Li, S., Yuan, C., Liu, D., & Cai, H. (2016). Integrated processing of image and GPR data for automated pothole detection. Journal of computing in civil engineering, 30(6), 04016015.
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