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 need to accurately estimate the speed of road vehicles is becoming increasingly
important for at least two main reasons. First, the number of speed cameras installed …

Traffic management systems capture tremendous video data and leverage advances in
video processing to detect and monitor traffic incidents. The collected data are traditionally …

In recent years, vehicle detection and classification have become essential tasks of
intelligent transportation systems, and real‐time, accurate vehicle detection from image and …

During automatic driving, the complex background and mutual occlusion between multiple
targets hinder the correct judgment of the detector and miss detection. When a close-range …

Automobiles have increased urban mobility, but traffic accidents have also increased.
Therefore, road safety is a significant concern involving academics and government. Transit …

Visual surveillance of on-road vehicles has emerged as a vibrant research topic within the
fields of computer vision and Intelligent Transportation Systems (ITSs) to mitigate traffic …

Building a traffic monitoring system for intelligent transportation systems (ITS) in the
develo** smart cities has drawn in a mass of consideration in the latest past. Since the …

Traditional highway safety and monitoring solutions, reliant on surveillance cameras, face
limitations due to their dependence on high-speed internet connectivity and the remote …

In pattern recognition, ultra-fine-grained visual classification (ultra-FGVC) has emerged as a
paramount challenge, focusing on sub-category distinction within fine-grained objects. The …