Résumé:
The objective is to design a system for automatic analysis of highway scenes.
The road network plays a crucial role in the development of a country as it serves as the
foundation for various sectors such as transportation of goods and people. Therefore, the
integration of driving assistance systems is crucial in the design of new vehicles.
In this work, we have developed a vehicle detection application based on video. To achieve
this goal, we have implemented three algorithms. The first one is a part of machine learning
(SVM), and the other two are part of deep learning (YOLOV5 and YOLOV8)
