Traffic surveillance cameras are the eyes of the Intelligent Transportation Systems (ITS).
However, they are currently isolated and can only extract information from each of their fixed …

Location privacy is critical in vehicular networks, where drivers' trajectories and personal
information can be exposed, allowing adversaries to launch data and physical attacks that …

Abstract Information and communication technology has many promising benefits including
improvement the traffic network capacity, efficiency, and stability. However, to date, most of …

Vehicle re-identification (ReID) is the task of identifying the same vehicle across numerous
cameras. This is a complex classification task, and the fine-grained information and strong …

Security cameras have been proven to be particularly useful in preventing and combating
crime through identification tasks. Here, two areas can be mainly distinguished: person and …

Traffic congestion is a long-lasting worldwide problem and even becoming more severe in
well-developed regions. Reversible lanes have been used worldwide on various road types …

Collaborative perception enhances sensing in multi-robot and vehicular networks by fusing
information from multiple agents, improving perception accuracy and sensing range …

Multi-camera vehicle tracking is a fundamental task for city traffic management to count traffic
flow or monitor roads. This paper focuses on multi-camera tracking on the highway, which is …

Vehicle matching in variable illumination environments can be challenging due to the heavy
dependence of vehicle appearance on lighting conditions. To address this issue, we …

Vehicle recognition and classification are critical for a number of traffic applications, eg,
traffic signal control, traffic flow modeling, tolling, and logistics optimization. Commonly used …