ARCHIVES

1. Redmon, J., Divvala, S., Girshick, R., & Farhadi, A. (2016). You Only Look Once: Unified, Real-Time Object Detection. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 779–788.
2. Bochkovskiy, A., Wang, C.-Y., & Liao, H.-Y. M. (2020). YOLOv4: Optimal Speed and Accuracy of Object Detection. arXiv preprint arXiv:2004.10934.
3. Ultralytics YOLOv8 Documentation. (2024).A Smart Parking System Based on Real-Time Occupancy Detection Using Wireless Sensor Networks. IEEE Transactions on Industrial Informatic
4. Hart, P. E., Nilsson, N. J., & Raphael, B. (1968). A Formal Basis for the Heuristic Determination of Minimum Cost Paths. IEEE Transactions on Systems Science and Cybernetics, 4(2), 100–107.
5. Liao, L., & Wei, X. (2021). Parking Space Detection and Availability Prediction: A Deep Learning Approach. Journal of Artificial Intelligence and Applications, 12(3), 51–58.
6. Zhang, H., & Li, B. (2020). Deep Learning-Based Smart Parking System for Parking Space Detection and Management. Journal of Machine Learning and Computing, 10(4), 127–133.
7. Al-Muhtadi, J., & Al-Khaleel, S. (2020). A Survey on Parking Space Availability Detection and Management in Intelligent Transportation Systems. IEEE Access, 8, 133466–133479.
8. Pathfinding.js Library. (2023). A comprehensive pathfinding visualizer for grid-based navigation.A Smart Parking System Based on Real-Time Occupancy Detection Using Wireless Sensor Networks. IEEE Transactions on Industrial Informatic
9. Zheng, Y., Rajasegarar, S., & Leckie, C. (2015). Parking Availability Prediction for Sensor-Enabled Car Parks in Smart Cities. In 2015 IEEE 10th Conference on Industrial Electronics and Applications (ICIEA), 1570–1575.
10. Hassan, H., El-Sayed, H., & Aly, A. A. (2021). Smart Car Parking System Based on Image Processing Using Raspberry Pi. International Journal of Advanced Computer Science and Applications (IJACSA), 12(3), 482–488.