Unmanned aerial vehicles (UAVs) have gained significant popularity across various
domains, but their proliferation also raises concerns about security, public safety, and …

This paper proposes a detection and classification method for unmanned aerial vehicles,
commonly called drones, using sensor fusion schemes. Datasets for drone detection and …

In this paper, we propose a vision-based unmanned aerial vehicle (UAV) chasing system
that can be embedded in a pursuer UAV (pUAV) to protect from attacks by an evader UAV …

A new robust and accurate approach for the detection and localization of flying objects with
the purpose of highly dynamic aerial interception and agile multi-robot interaction is …

We present Acoustic Inertial Measurement (), a one-of-a-kind technique for indoor drone
localization and tracking. Indoor drone localization and tracking are arguably a crucial, yet …

Unmanned Aerial Vehicle (UAV) detection and classification methods include the use of
audio, video, thermal, RADAR and radio frequency (RF) signals. RF signals have the ability …

The autonomous navigation of UAS requires, among others, detect-and-avoid capability as
a prerequisite for enabling wide-ranging applications, including the transportation of goods …

Small Unmanned Aerial Systems (UASs) provide significant benefits to economies across
the world on a daily basis but increased usage brings a number of security challenges. For …

Small unmanned aerial systems (UASs) present many potential solutions and
enhancements to industry today but equally pose a significant security challenge. We only …

The market for consumer drones is growing and drones are becoming ever more pervasive
than before in our life. However, drones have also brought about severe privacy violations …