Traffic Management System Using YOLO Algorithm
Author:
Affiliation:
1. Vishwakarma Institute of Technology, Savitribai Phule Pune University, Pune 411037, Maharashtra, India
Publisher
MDPI
Link
https://www.mdpi.com/2673-4591/59/1/210/pdf
Reference12 articles.
1. Asha, C.S., and Narasimhadhan, A.V. (2018, January 16–17). Vehicle Counting for Traffic Management System using YOLO and Correction filter. Proceedings of the 2018 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT), Bangalore, India.
2. Vision-based vehicle detection and counting system using deep learning in highway scenes;Song;Eur. Transp. Res. Rev.,2019
3. Guerrieri, M., and Parla, G. (2021). Deep Learning and YOLOv3 Systems for Automatic Traffic Data Measurement by Moving Car Observer Technique. Infrastructures, 6.
4. Lin, J.-P., and Sun, M.-T. (December, January 30). A YOLO-Based Traffic Counting System. Proceedings of the 2018 Conference on Technologies and Applications of Artificial Intelligence (TAAI), Taichung, Taiwan.
5. A Real-Time Vehicle Counting, Speed Estimation, and Classification System Based on Virtual Detection Zone and YOLO;Lin;Math. Probl. Eng.,2021
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