A semantic understanding of road traffic can help people understand road traffic flow
situations and emergencies more accurately and provide a more accurate basis for anomaly …

The detection of an object such as a human is very important for image understanding in the
field of computer vision. Human detection in images can provide essential information for a …

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

Event cameras sense the intensity changes asynchronously and produce event streams with
high dynamic range and low latency. This has inspired research endeavors utilizing events …

Emergence of communication technologies made the automotive industries across the
globe to embrace Advanced Driver Assistance Systems (ADAS) by considerable …

Automatic detection of traffic accidents is an important emerging topic in traffic monitoring
systems. Nowadays many urban intersections are equipped with surveillance cameras …

To facilitate the monitoring and management of modern transportation systems, monocular
visual traffic surveillance systems have been widely adopted for speed measurement …

Accident detection and public traffic safety is a crucial aspect of safe and better community.
Monitoring traffic flow in smart cities using different surveillance cameras plays a crucial role …

With the recent advancements in Autonomous Vehicles (AVs), two important factors that play
a vital role to avoid accidents and collisions are obstacles and track detection. AVs must …

An increasing number of vehicles on the roads increases the risk of accidents. In bad
weather (eg, heavy rainfall, strong winds, storms, and fog), this risk almost doubles due to …