1. F. H. Shubho, F. Iftekhar, E. Hossain and S. Siddique, “Real-time traffic monitoring and traffic offense detection using YOLOv4 and OpenCV DNN,” in Proceedings of TENCON 2021-2021 IEEE Region 10 Conference (TENCON),(IEEE, 2021), pp. 46–51.
2. A. Bochkovskiy, C.Y. Wang, H.Y.M. Liao, “YOLOv4: Optimal speed and accuracy of object detection,” in Computer Vision and Pattern Recognition, edited by Sridaran Rajagopal, Parvez Faruki, Kalpesh (Springer, 2020).
3. X. Wang, L.M. Meng, B. Zhang, J. Lu, K. Du, “A video-based traffic violation detection system,” in Proceedings of International Conference on Mechatronic Sciences Electric Engineering and Computer (MEC),(2013), pp. 1191–1194.
4. X.W. juan and L.J. feng, “Application of vision sensing technology in urban intelligent traffic control system,” in Proceedings of 4th International Conference on Computer and Technology Applications (ICCTA), (2018), pp. 74–77.
5. V. Zinchenko, G. Kondratenko, I. Sidenko and Y. Kondratenko, “Computer Vision in Control and Optimization of Road Traffic,” in Proceedings of IEEE Third International Conference on Data Stream Mining & Processing (DSMP), (2020), pp. 249–254.