Car manufacturers around the globe are in a race to design and build driverless cars. The
concept of driverless is also being applied to any moving vehicle such as wheelchairs, golf …

Due to the considerable number of deaths and vehicle accidents caused by a driver's
inattention, as reported by WHO, automobile manufacturers are aiming to combine …

Traffic sign recognition is an important task in the field of computer vision and is often used
in various applications such as autonomous vehicles, intelligent transportation systems, and …

Abstract System for Traffic Sign Recognition and Classification is significantly important for
especially traffic safety, traffic surveillance, artificial driver services and by all means, for self …

Traffic Sign Recognition (TSR) is a crucial step for automated vehicles and driver assistance
systems. Automated TSD in an extreme environment has always been challenging due to …

Traffic sign recognition systems are vital in real-world applications such as auto-driving and
safety and driver assistance. While deep neural networks have achieved high accuracy in …

Recognizing and classifying traffic signs is a challenging task that can significantly improve
road safety. Deep neural networks have achieved impressive results in various applications …

Traffic sign recognition plays a crucial role in the development of autonomous cars to reduce
the accident rate and promote road safety. It has been a necessity to address traffic signs …

Smart cities are now embracing the new frontier of urban living, with advanced technology
being used to enhance the quality of life for residents. Many of these cities have developed …

With the growing trend in autonomous vehicles, accurate recognition of traffic signs has
become crucial. This research focuses on the use of convolutional neural networks for traffic …