In recent years, the proliferation of unmanned aerial vehicles (UAVs) has increased
dramatically. UAVs can accomplish complex or dangerous tasks in a reliable and cost …

Abstract Unmanned Aerial Vehicles (UAVs), which can operate autonomously in dynamic
and complex environments, are becoming increasingly common. Deep learning techniques …

Artificial Intelligence (AI) and Deep Neural Networks (DNNs) have attracted attention as a
solution within autonomous systems fields as they enable applications such as visual …

Unmanned Aerial Vehicles (UAVs) are getting closer to becoming ubiquitous in everyday
life. Among them, Micro Aerial Vehicles (MAVs) have seen an outburst of attention recently …

Autonomous systems, such as Unmanned Aerial Vehicles (UAVs), are expected to run
complex reinforcement learning (RL) models to execute fully autonomous position …

Unmanned aerial vehicles (UAVs) are playing a critical role in provisioning instant
connectivity and computational needs of Internet of Things Devices (IoTDs), especially in …

Fully autonomous drones are a new emerging field that has enabled many applications
such as gas source leakage localization, wild-fire detection, smart agriculture, and search …

Abstract Unmanned Air Vehicles (UAVs), ie drones, have become a key enabler technology
of many reconnaissance applications in different fields, such as military, maritime, and …

Standard-sized autonomous vehicles have rapidly improved thanks to the breakthroughs of
deep learning. However, scaling autonomous driving to mini-vehicles poses several …

Offloading computationally heavy tasks from an unmanned aerial vehicle (UAV) to a remote
server helps improve battery life and can help reduce resource requirements. Deep learning …