A growing number of vehicles are being transformed into semi-autonomous vehicles (Level
2 autonomy) by relying on advanced driver assistance systems (ADAS) to improve the …

With the wide application of unmanned aerial vehicles (UAVs), security problems of UAV
systems are gradually exposed, which bring great risks to UAV application. This paper …

With the increase in threats on Unmanned Aerial Vehicles (UAVs), there is a growing need
for intrusion detection approaches that make it easier to defend against threats. However …

Recent advances in sensing and computing technology have led to the proliferation of
Cyber-Physical Systems (CPS) in safety-critical domains. However, the increasing device …

Unmanned Aerial Vehicles as a service (UAVaaS) has increased the field deployment of
Robotic Aerial Vehicles (RAVs) for different services such as transportation and terrain …

This article proposes an event-triggered deep learning control strategy to achieve real-time
trajectory tracking control for quadrotors. In the training data collection phase, the event …

The rapid growth of robotic aerial vehicles (RAVs) has attracted extensive interest in
numerous public and civilian applications, from flying drones to quadrotors. Security of RAV …

The growing complexity of Cyber-Physical Systems (CPS) and challenges in ensuring safety
and security have led to the increasing use of deep learning methods for accurate and …

There are many various data-oriented attacks on robotic vehicles (RVs) that change the
inputs of an RV control program. While much research has been dedicated to detecting the …

With recent advances in deep neural networks (DNNs), there is a significant increase in IoT
applications leveraging AI with edge-cloud infrastructures. Nevertheless, deploying large …