Adversarial attacks and defenses in machine learning and deep neural network (DNN) have
been gaining significant attention due to the rapidly growing applications of deep learning in …

Over the past decade, Unmanned Aerial Vehicles (UAVs) have provided pervasive, efficient,
and cost-effective solutions for data collection and communications. Their excellent mobility …

This review paper provides insights into optimization strategies for Unmanned Aerial
Vehicles (UAVs) in a variety of surveillance tasks and scenarios. From basic path planning …

With the advancement of remote sensing technology, the demand for the accurate
monitoring and tracking of various targets utilizing unmanned aerial vehicles (UAVs) is …

We present a new framework based on quantization theory to design cellular networks
optimized for both legacy ground users and uncrewed aerial vehicle (UAV) corridors …

The advent of communication technologies marks a transformative phase in critical
infrastructure construction, where the meticulous analysis of failures becomes paramount in …

Collision avoidance is priority for human-robot collaboration (HRC). Human motions have
stochastic, making it difficult for robots to recognize humans. To establish accurate human …

■ Abstract. From the perspective of law enforcement and other professions, covert visual
surveillance can be an effective and necessary tool for performing tasks such as …

Autonomous aerial robots or unmanned aerial vehicles (UAVs) are widely used in target
surveillance and monitoring for various purposes due to their affordability, mobility, and …

Unmanned aerial vehicles (UAVs) have become essential tools with diverse applications
across multiple sectors, including remote sensing. This paper presents a trajectory planning …