Unmanned aerial vehicles (UAVs) provide a novel means of extracting road and traffic
information from video data. In particular, by analyzing objects in a video frame, UAVs can …

Along with the advancement of light-weight sensing and processing technologies,
unmanned aerial vehicles (UAVs) have recently become popular platforms for intelligent …

The research into the tracking methods of unmanned aerial vehicles (UAVs) for agile targets
is multi-disciplinary, with important application scenarios. Using a quadrotor as an example …

In smart cities, vehicular applications require high computation capabilities and low-latency
communication. Edge computing offers promising solutions for addressing these …

In recent years, unmanned aerial vehicles (UAVs) have become a popular and cost-effective
technology in urban scenarios, encompassing applications such as material transportation …

Multi-Camera multi-target tracking is essential in the research field of urban intelligence
traffic. It shows that the task becomes extremely difficult due to the changes of illumination …

Though the primary method for evaluating multiple UAV path planning algorithms is
simulation, there is no lightweight open-source software built to compare algorithms. As a …

Unmanned aerial vehicles (UAVs) with limited field of view are utilized to track a moving
ground target continuously in urban environment. In urban environment, the sight lines of …

Accurate and fast detection of the moving targets from a moving camera are an important yet
challenging problem, especially when the computational resources are limited. In this paper …

Traffic and emergency monitoring systems are essential constituents of Intelligent
Transportation System (ITS) technologies, but the lack of traffic monitoring has become a …