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The Level 3 autonomous vehicle (AV) is now a reality on the public roads. While the emergence of AV is to eliminate the traffic crashes due to human error by 90%, the unexpected or errant drivings on the roads would, how...

The purpose of this study is to critically review literature pertaining to the theoretical concept of perceived risk and its role in autonomous vehicle (AV) studies. A mapping on the placement of perceived risk to explai...

Mobility is evolving globally. Automated vehicle technology is consistently advancing with the development of Artificial Intelligence and information communication technology. The Autonomous Vehicle is acknowledged with ...

Reliable lane detection is crucial to autonomous driving but continues to be challenging with varying lighting conditions. Fluctuations in illuminations due to bright sunlight, shadows or low lighting at night can degrad...

Recent advances in computer vision and deep learning, particularly Convolutional Neural Networks (CNNs), have significantly increased road safety. CNNs were used in this work to automatically detect and categorise traffi...