Intelligent transportation systems (ITSs) will be a major component of tomorrow's smart
cities. However, realizing the true potential of ITSs requires ultralow latency and reliable …

Unmanned aerial vehicles (UAVs) are gradually becoming useful and common. In the
consumer electronics (CE) category, unmanned systems have changed the way monitoring …

In smart cities, target detection is one of the major issues in order to avoid traffic congestion.
It is also one of the key topics for military, traffic, civilian, sports, and numerous other …

In this paper, we have proposed and developed a comprehensive Convolutional Neural
Network (CNN) classifier “WAF-LeNet” to be used in traffic signs recognition and …

To constructively ameliorate and enhance traffic safety measures in Saudi Arabia, a prolific
number of AI (Artificial Intelligence) traffic surveillance technologies have emerged …

Due to static traffic management regulations on roadways, traffic flow may become
congested as it has been growing on roads. Estimating traffic density impacts intelligent …

Prior research on traffic event detection has encountered two problems: limited sample
numbers and unbalanced datasets. Moreover, the real-time properties of event detection …

Road intersection is one of the most complex and accident-prone traffic scenarios, so it's
challenging for autonomous vehicles (AVs) to make safe and efficient decisions at the …

Self-driving cars have become inevitable to be present in a near future. A big number of
large companies, startups and research groups have been working for years to fulfil the …

The application of Artificial Intelligence (AI) based techniques has strong potential to
improve safety and efficiency in data-driven Intelligent Transportation Systems (ITS) as well …