Smart City Gnosys
Smart city article details
| Title | Pds-Uav: A Deep Learning-Based Pothole Detection System Using Unmanned Aerial Vehicle Images |
|---|---|
| ID_Doc | 41514 |
| Authors | Alzamzami O.; Babour A.; Baalawi W.; Al Khuzayem L. |
| Year | 2024 |
| Published | Sustainability (Switzerland), 16, 21 |
| DOI | http://dx.doi.org/10.3390/su16219168 |
| Abstract | Smart cities utilize advanced technologies to enhance quality of life by improving urban services, infrastructure, and environmental sustainability. Effective pothole detection and repair strategies are essential for improving quality of life as they directly impact the comfort and safety of road users. In addition to causing serious harm to residents’ lives, potholes can also cause costly vehicle damage. In this study, a pothole detection system utilizing unmanned aerial vehicles, called PDS-UAV, is developed. The system aids in automatically detecting potholes using deep learning techniques and managing their status and repairs. In addition, it allows road users to view an overlay of the detected potholes on the maps based on their selected route, enabling them to avoid the potholes and increase their safety on the roads. Two data collection methods were used, an interview and a questionnaire, to gather data from the target system users. Based on the data analysis, the system’s requirements, design, and implementation were completed. For the pothole detection, a deep learning model using YOLOv8 was developed, which achieved an overall performance of 95%, 98%, and 92% for F1 score, precision, and recall, respectively. Different types of testing has been performed on the target users to ensure the system’s validity, effectiveness, and ease of use, including unit testing, integration testing, and usability testing. As a future work, more features will be added to the system in addition to improving the deep learning model accuracy. © 2024 by the authors. |
| Author Keywords | deep learning; intelligent transportation systems; pothole detection; smart city; YOLOv8 |
Similar Articles
| Id | Similarity | Authors | Title | Published |
|---|---|---|---|---|
42511  | 0.909 | Sai K.K.; Kumar D.D.V.; Sahrudhay A.; Dharavath K. | Pothole Detection Using Deep Learning | 2023 2nd International Conference on Futuristic Technologies, INCOFT 2023 (2023) |
| 44425 | 0.901 | Bhosale S.B.; Ponnusamy S. | Real-Time Pothole Detection Using Yolov7: An Efficient Deep Learning Approach For Road Safety And Maintenance | 2025 International Conference on Data Science and Business Systems, ICDSBS 2025 (2025) |
| 16106 | 0.89 | Lakshminarayanan S.; Konidhala J. | Convolutional Neural Network For Pothole Identification In Urban Roads | International Journal Of Advances In Signal And Image Sciences, 10, 1 (2024) |
| 21070 | 0.887 | Adhikary S.; Guha A.; Majumder S. | Drone Management System To Detect Fire And Potholes On The Road Towards Smart City | Cyber-Physical Systems for Innovating and Transforming Society 5.0 (2025) |
| 17906 | 0.884 | Chu H.-H.; Saeed M.R.; Rashid J.; Mehmood M.T.; Ahmad I.; Iqbal R.S.; Ali G. | Deep Learning Method To Detect The Road Cracks And Potholes For Smart Cities | Computers, Materials and Continua, 75, 1 (2023) |
| 27038 | 0.884 | Peraka N.S.P.; Biligiri K.P.; Kalidindi S.N. | Framework For Pothole Detection, Quantification, And Maintenance System (Pdqms) For Smart Cities | Lecture Notes in Civil Engineering, 76 (2020) |
| 11243 | 0.877 | Dinesh R.; Sabiq M.; Viji D. | Automated Pothole And Geolocation Identification System Using Yolov8 And Iot Support For Road Maintenance | International Conference on Distributed Computing and Optimization Techniques, ICDCOT 2024 (2024) |
| 20646 | 0.871 | Thamizharasi M.; Sethuraman R.; Sandhya A. | Distributed Framework For Pothole Detection And Monitoring Using Federated Learning: A Privacy-Preserving Edge Computing Approach | National Academy Science Letters (2025) |
| 45593 | 0.865 | Liu J.; Wang H.; Wei J.; Nan J. | Research On Road Pothole Recognition Based On Deep Convolutional Neural Networks | 2024 IEEE 2nd International Conference on Image Processing and Computer Applications, ICIPCA 2024 (2024) |
| 58038 | 0.864 | Mehta S.; Singh A. | Towards Autonomous Road Maintenance: Cnn-Fl Integration For Pothole Detection Systems | 2024 4th Asian Conference on Innovation in Technology, ASIANCON 2024 (2024) |