This paper explores deep learning (DL) methods that are used or have the potential to be
used for traffic video analysis, emphasising driving safety for both autonomous vehicles and …

The process of detecting vehicles' license plates, along with recognizing the characters
inside them, has always been a challenging issue due to various conditions. These …

Driving safety analysis has recently experienced unprecedented improvements thanks to
technological advances in precise positioning sensors, artificial intelligence (AI)-based …

Privacy and trust are significant issues in intelligent transportation systems (ITS). Data
security is critical in ITS systems since sensitive user data is communicated to another user …

Providing huge amounts of data is a fundamental demand when dealing with Deep Neural
Networks (DNNs). Employing these algorithms to solve computer vision problems resulted in …

With the great success of deep learning and IoT techniques, many methods with GPU for
License Plate Detection (LPD) have attracted remarkable attention in recent times. However …

Vehicle license number plate detection is essential for road safety and traffic management.
Many existing systems have been proposed to achieve high detection precision without …

In the development of the" Machine Learning" education kit, vehicle plate recognition was
created using TensorFlow with SSD MobileNetV2. The detection failure rate in the training …

Driving safety analysis has recently experienced unprecedented improvements thanks to
technological advances in precise positioning sensors, artificial intelligence (AI)-based …

In recent times, with the growing number of vehicles, road safety has become a paramount
issue. To ensure safe and easy passage of vehicles on the road, it is important that we take …