Research Paper
Babbar, S., Bedi, J. (2023) Real-Time Traffic, Accident, and Potholes Detection by Deep Learning Techniques: A Modern Approach for Traffic Management, Neural Comput. & Appl., 35(26), pp.19465~19479.
10.1007/s00521-023-08767-8Choi, W., Na, S., Lee, Y., Kim, C., Heo, S. (2025) PotholeSAM: Pothole Management Using Segment Anything Model 2, J. Comput. Struct. Eng. Inst. Korea, 38(3), pp.139~146.
10.7734/COSEIK.2025.38.3.139Chorada, R., Kriplani, H., Achaya, B. (2023) CNN-based Real-Time Pothole Detection for Avoidance Road Accident, Proc. 7th Int. Conf. Intelligent Computing and Control Systems (ICICCS-2023), IEEE, Madurai, India, pp.700~707.
10.1109/ICICCS56967.2023.10142488Frnda, J., Bandyopadhyay, S., Pavlicko, M., Durica, M., Savrasovs, M., Banerjee, S. (2024) Analysis of Pothole Detection Accuracy of Selected Objection Models under Adverse Conditions, Trans. & Telecommun., 25, pp.209~217.
10.2478/ttj-2024-0016Geirhos, R., Rubisch, P., Michaelis, C., Bethge, M., Wichmann, F.A., Brendel, W. (2019) ImageNet-Trained CNNs are biased Towards Texture; Increasing Shape Bias Improves Accuracy and Robustness, International Conference on Learning Representations (ICLR), New Orleans, LA, USA.
Gu, Y., Liu, Y., Liu, D., Han, L.D., Jia, X. (2024) Spatiotemporal Kernel Density Clustering for Wide Area Near Real-Time Pothole Detection, Adv. Eng. Inform., 60, 102351.
10.1016/j.aei.2023.102351Heo, J.N., Lee, Y.I., Kim, H.Y. (2023) Pothole Detection using Deep Learning and Domain-based Image Preprocessing Methods, J. Knowl. Inform. Tech. & Syst., 18, pp.1331~1343.
Im, W.S., Min, C.G., Choi, Y.H. (2023) AI-Based Pothole Detection Using Traffic Surveillance CCTV, Land & Hous. Rev., 16(4), pp.137~146.
Jakubec, M., Lieskovská, E., Bučko, B., Zábovská, K. (2023) Comparison of CNN-Based Models for Pothole Detection in Real-World Adverse Conditions: Overview and Evaluation, Appl. Sci., 13(9), 5810.
10.3390/app13095810Jakubec, M., Lieskovská, E., Bučko, B., Zábovská, K. (2024) Pothole Detection in Adverse Weather: Leveraging Synthetic Images and Attention-based Object Detection Methods, Multimed. Tools & Appl., 83(39), pp.86955~86982.
10.1007/s11042-024-19723-6Jiang, P.T., Zhang, C.B., Hou, Q., Cheng, M.M., Wei, Y. (2021) Layercam: Exploring Hierarchical Class Activation Maps for Localization, IEEE Trans. Image Proc., 30, pp.5875~5888.
10.1109/TIP.2021.3089943Jo, Y.T., Ryu, S.K. (2016) Pothole Detection Algorithm Based on Saliency Map for Improving Detection Performance, J. Korea Inst. Intell. Trans. Syst., 15(4), pp.104~114.
10.12815/kits.2016.15.4.104Jocher, G., Chaurasia, A., Qiu, J. (2023) Ultralytics YOLOv8 (Version 8.0.0), Computer Software, Ultralytics, Available at: GitHub Repository.
Khan, M., Raza, M.A., Abbas, G., Othmen, S., Yousef, A., Jumani, T.A. (2024) Pothole Detection for Autonomous Vehicles Using Deep Learning: A Robust and Efficient Solution, Front. Built Environ., 9, 1323792.
10.3389/fbuil.2023.1323792Kim, J.J., Lee, S.Y. (2023) A Comparative Performance Analysis of Vision Transformer Series Models for Pothole Detection, J. Korea Acad.-Ind. Coop. Soc., 24(1), pp.10~17.
10.5762/KAIS.2025.26.12.10Lee, H.J., Yang, J.W., Hong, E.J. (2022) Proposed Pre-Processing Method for Improving Pothole Dataset Performance in Deep Learning Model and Verification by YOLO Model, J. Korea Inst. Converg. Signal Proc., 23(4), pp.249~255.
Ling, M., Shi, Q., Zhao, X., Chen, W., Wei, W., Xiao, K., Yang, Z., Zhang, H., Li, S., Lu, C., Zeng, Y. (2024) Nighttime Pothole Detection: A Benchmark, Electronics, 13(19), 3790.
10.3390/electronics13193790Meshram, K., Saurabh, A., Kharole, V., Chatrabhuj, Mishra, U., Onyelowe, K.C., Kamchoom, V., Arunachalam, K.P. (2025) Design of an Integrated Model for Pothole Detection and Repair Optimization Using Multimodal Transformers and Hybrid Deep Learning, Case Stud. Constr. Mater., 23, e05431.
10.1016/j.cscm.2025.e05431Muhammad, M.B., Yeasin, M. (2020) Eigen-CAM: Class Activation Map Using Principal Components, Proc. 2020 International Joint Conference on Neural Networks (IJCNN), Glasgow, UK.
10.1109/IJCNN48605.2020.9206626Nienaber, S., Booysen, M.J., Kroon, R.S. (2015a) Detecting Potholes Using Simple Image Processing Techniques and Real-World Footage, Proc. Southern African Transport Conference (SATC), Pretoria, South Africa.
Nienaber, S., Kroon, R.S., Booysen, M.J. (2015b) A Comparison of Low-Cost Monocular Vision Techniques for Pothole Distance Estimation, Proc. 2015 IEEE Symposium Series on Computational Intelligence, Cape Town, South Africa, pp.419~426.
10.1109/SSCI.2015.69Rubin, R., Jacob, C., Sundar, S., Stoian, G., Danciulescu, D., Hemanth, J. (2025) Pothole Detection and Assessment on Highways Using Enhanced YOLO Algorithm with Attention Mechanisms, Adv. Civil Eng., 2025, 7911336.
10.1155/adce/7911336Selvaraju, R.R., Cogswell, M., Das, A., Vedantam, R., Parikh, D., Batra, D. (2017) Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization, Proc. IEEE International Conference on Computer Vision (ICCV), Venice, Italy, pp.618~626.
10.1109/ICCV.2017.74Shannon, C.E. (1948) A Mathematical Theory of Communication, Bell Syst. Tech. J., 27(3), pp.379~423.
10.1002/j.1538-7305.1948.tb01338.xYu, D., Lee, S., Jeong, D. (2025) Implementation of YOLOv11-Based Automated Pothole Reporting and Visualization System, J. Korean Inst. Inform. Technol., 23(3), pp.89~97.
10.14801/jkiit.2025.23.3.89- Publisher :Computational Structural Engineering Institute of Korea
- Publisher(Ko) :한국전산구조공학회
- Journal Title :Journal of the Computational Structural Engineering Institute of Korea
- Journal Title(Ko) :한국전산구조공학회 논문집
- Volume : 39
- No :3
- Pages :185-192
- Received Date : 2026-05-04
- Revised Date : 2026-06-01
- Accepted Date : 2026-06-02
- DOI :https://doi.org/10.7734/COSEIK.2026.39.3.185
Journal of the Computational Structural Engineering Institute of Korea
