In the past decade, autonomous vehicle systems (AVS) have advanced at an exponential
rate, particularly due to improvements in artificial intelligence, which have had a significant …

Traffic sign detection and recognition are crucial in the development of intelligent vehicles.
An improved traffic sign detection and recognition algorithm for intelligent vehicles is …

Rapid growth in advanced human-computer interaction (HCI) based applications has led to
the immense popularity of facial expression recognition (FER) research among computer …

Over the years, the continuous development of new technology has promoted research in
the field of posture recognition and also made the application field of posture recognition …

Traffic sign recognition (TSR) is a crucial intelligent transport system. Nowadays, the
convolutional neural network has become a vital tool in the conception of a TSR model. In …

Traffic sign recognition (TSR) is the basic technology of the Advanced Driving Assistance
System (ADAS) and intelligent automobile, whileas high-qualified feature vector plays a key …

Traffic sign board recognition is a very significant work for the upcoming driver assistance
intelligent vehicle systems. The ability to detect such traffic signs from the real road scenes …

With advancements in autonomous driving, demand for stringent and computationally
efficient traffic sign detection systems has increased. However, bringing such a system to a …

Driver's drowsiness is one of the major causes of increase in the number of road accidents.
Therefore, design and implementation of a real-time driver's drowsiness detection system …

Driver safety assisted driving, and autonomous driving all depend on automated traffic sign
recognition. Themost popular deep learning method for recognizing traffic signs is …