[1. Al Okaishi, W., Zaarane, A., Slimani, I., Atouf, I. (2019) A Traffic Surveillance System in Real-Time to Detect and Classify Vehicles by Using Convolutional Neural Network. In: 2019 International Conference on Systems of Collaboration Big Data, Internet of Things & Security (SysCoBIoTS), 1–5. IEEE.]Search in Google Scholar
[2. Bell, A., Mantecón, T., Díaz, C., del-Blanco, C., Jaureguizar, F., García, N. (2021) A novel system for nighttime vehicle detection based on foveal classifiers with real-time performance. IEEE Transactions on Intelligent Transportation Systems, 23(6), 5421–5433.]Search in Google Scholar
[3. Billones, R. K., Bandala, A., Sybingco, E., Gan Lim, L. (2017) Vehicle detection and tracking using corner feature points and artificial neural networks for a vision-based contactless apprehension system. In: 2017 Computing Conference, 688–691. IEEE.]Search in Google Scholar
[4. Gao, F., Ge, Y., Lu, S., Zhang, Y. (2019) On-line vehicle detection at nighttime-based tail-light pairing with saliency detection in the multi-lane intersection. IET Intelligent Transport Systems, 13(3), 515–522.]Search in Google Scholar
[5. Gonzalez, R.C., Woods, R.E. (1992) Digital Image Processing. Addison Wesley, Reading, MA.]Search in Google Scholar
[6. Nogueira K., Penatti, O., dos Santos, J. A. (2017) Towards better exploiting convolutional neural networks for remote sensing scene classification. Pattern Recognition, 61, 539–556.]Search in Google Scholar
[7. Nurhadiyatna, A., Jatmiko, W., Hardjono, B., Wibisono, A., Sina, I., Mursanto, P. (2013) Background Subtraction Using Gaussian Mixture Model Enhanced by Hole Filling Algorithm. In: Proceedings of the 2013 IEEE International Conference on Systems, Man, and Cybernetics, 4006–4011.]Search in Google Scholar
[8. Redmon, J., Divvala, S., Girshick, R., Farhadi, A. (2016) You Only Look Once: Unified, Real-Time Object Detection. In: Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 779–788. Seattle, WA, USA, 27–30 June 2016.]Search in Google Scholar
[9. Slimani, I., Zaarane, A., Al Okaishi, W., Atouf, I., Hamdoun, A. (2020) An Automated License Plate Detection and Recognition System Based on Wavelet Decomposition and CNN. Array, 2020, p. 100040.]Search in Google Scholar
[10. Slimani, I., Zaarane, A., Hamdoun, A. (2016) Convolution algorithm for implementing 2D discrete wavelet transform on the FPGA. In: IEEE/ACS 13th International Conference of Computer Systems and Applications (AICCSA), 1–3. IEEE.]Search in Google Scholar
[11. Slimani, I., Zaarane, A., Hamdoun, A., Atouf, I. (2018) Traffic surveillance system for vehicle detection using discrete wavelet transform. J Theor Appl Inf Technol, 96(17), 5905–17.]Search in Google Scholar
[12. Slimani, I., Zaarane, A., Hamdoun, A., Atouf, I. (2019) Vehicle License Plate Localization and Recognition System for Intelligent Transportation Applications. In: 2019 6th International Conference on Control, Decision and Information Technologies (CoDIT), 1592–1597. IEEE, 2019.]Search in Google Scholar
[13. Sudha, D., Priyadarshini, J. (2020) An intelligent multiple vehicle detection and tracking using modified vibe algorithm and deep learning algorithm. Soft Computing, 24(22), 17417–17429.]Search in Google Scholar
[14. Tang, Y., Zhang, C., Gu, R., Li, P., Yang, B. (2017) Vehicle detection and recognition for intelligent traffic surveillance system. Multimedia tools and Applications, 76(4), 5817–5832.]Search in Google Scholar
[15. Velazquez-Pupo, R., Sierra-Romero, Al., Torres-Roman, D., Shkvarko, Y. (2018) Vehicle detection with occlusion handling, tracking, and OC-SVM classification: A high performance vision-based system. Sensors, 18(2), 374.]Search in Google Scholar
[16. Vu, T.A., Pham, L. H., Huynh, T. K., Ha, S. (2017) Nighttime vehicle detection and classification via headlights trajectories matching. In: 2017 International Conference on System Science and Engineering (ICSSE), 221–225. IEEE.]Search in Google Scholar
[17. Miao, Y., Liu, F., Hou, T., Liu, L. (2020) A nighttime vehicle detection method based on YOLO v3. In: Chinese Automation Congress (CAC), 6617–6621. IEEE.]Search in Google Scholar
[18. Zaarane, A., Slimani, I., Al Okaishi, W., Atouf, I., Hamdoun, A. (2020) Distance measurement system for autonomous vehicles using stereo camera. Array, 5, 100016.]Search in Google Scholar
[19. Zaarane, A., Slimani, I., Hamdoun, A., Atouf, I. (2019b) Vehicle to vehicle distance measurement for self-driving systems. In: 2019 6th International Conference on Control, Decision and Information Technologies (CoDIT), 1587–1591. IEEE.]Search in Google Scholar
[20. Zaarane, A., Slimani, I., Hamdoun, A., Atouf, I. (2019a) Real-Time Vehicle Detection Using Cross-Correlation and 2D-DWT for Feature Extraction. Journal of Electrical and Computer Engineering, 2019.]Search in Google Scholar
[21. Zhang, Y., Guo, Z., Wu, J., Tian, Y. (2022) Real-Time Vehicle Detection Based on Improved YOLO v5. Sustainability, 14(19), 12274.]Search in Google Scholar
