With the decrease in the cost and size of drones in recent years, their number has also
increased exponentially. As such, the concerns regarding security aspects that are raised by …

The intelligence and integrity of a real-time cyber–physical system depend on how
trustworthy the data's legitimacy, appropriation, and authorization are during end-to-end …

Real-time object detection based on UAV remote sensing is widely required in different
scenarios. In the past 20 years, with the development of unmanned aerial vehicles (UAV) …

This paper demonstrates a broad exploration of existing authentication and secure
communication of unmanned aerial vehicles (UAVs) in a '6G network'. We begin with an …

In this letter, we propose a novel approach to generate a synthetic aerial dataset for
application in UAV monitoring. We propose to accentuate shape-based object …

Moving object detection and tracking are technologies applied to wide research fields
including traffic monitoring and recognition of workers in surrounding heavy equipment …

Aiming at the problems of low detection accuracy and large computing resource
consumption of existing Unmanned Aerial Vehicle (UAV) detection algorithms for anti-UAV …

Increasing the number of personal cars on the transportation routes causes a heavy traffic
load. In many countries, special lines for high occupancy vehicles have been developed to …

This paper proposes a novel multimodal deep weakly-supervised learning framework,
SinkholeNet, to classify and localize sinkhole (s) in high-resolution RGB-slope aerial …

Detecting small objects in infrared images remains a challenge because most of them lack
shape and texture. In this study, we proposed an infrared small-object detection method to …