On the road to making self-driving cars a reality, academic and industrial researchers are
working hard to continue to increase safety while meeting technical and regulatory …

Automatic traffic sign recognition is essential for autonomous driving, assisted driving, and
driver safety. Convolutional neural networks (CNNs) are the most widely used deep learning …

The area of computer vision is emerging continually with the increasing interaction and
development to provide a comfortable interaction between human and machines. One of the …

To ensure a smooth and secure flow of traffic, road signs are essential. A major cause of
road accidents is negligence in viewing the Traffic signboards and interpreting them …

Purpose This study aims to compare traffic sign (TS) and obstacle detection for autonomous
vehicles using different methods. The review will be performed based on the various …

The research on this topic was important primarily because of the high rate of accidents due
to negligence of the traffic signs present. This led to finding ways of creating an alert system …

The area of computer vision is emerging continually with the increasing interaction and
development to provide a comfortable interaction between human and machines. One of the …

In the past few decades, the advanced driver assistance systems (ADAS) have achieved
great advances. Many computer vision based techniques have been proposed for traffic …

To ensure a smooth and secure flow of traffic, road signs are essential. The proposed
system is trained using Convolutional Neural Network (CNN) which helps in traffic sign …

The area of computer vision is emerging continually with the increasing interaction and
development to provide a comfortable interaction between human and machines. One of the …