The last decade has seen the emergence of Deep Neural Networks (DNNs) as the de facto
algorithm for various computer vision applications. In intelligent edge devices, sensor data …

Unmanned Aerial Vehicle (UAV) has been widely applied in many domains. But the
computation and energy resource limitation severely hinders its development and …

Next-generation drone applications will be distributed, including tasks that need to run at the
edge or in the cloud and interact with the drone in a smooth way. In this paper, we propose …

An ever increasing number of applications can employ aerial unmanned vehicles, or so-
called drones, to perform different sensing and possibly also actuation tasks from the air. In …

Fully autonomous flight by low-cost, lightweight commercial off-the-shelf (COTS) drones
could transform many use cases involving real-time computer vision. We show how such …

Unmanned aerial vehicles (UAVs) have been increasingly considered as aerial servers in
mobile edge computing (MEC) to assist mission-critical computation tasks of edge ground …

Although drones are currently used in many outdoor and indoor applications, still there are
numerous opportunities to be explored by combining drones with other accessible …

Unreliable communication channels and limited computing resources at the edge end are
two primary constraints of battery-powered movable devices, such as autonomous robots …

Emerging edge computing (EC) systems are currently exploiting attaching portable edge
devices on drones for data processing close to the sources, to achieve high performance …

Multi-Unmanned Aerial Vehicle (UAV) systems with high-resolution cameras have been
found to be useful for operations such as disaster management and smart farming. These …