Drones are used in a wide range of applications, which may involve computationally-
demanding data processing tasks during the missions. While such heavy tasks can be …

Accurate navigation is of paramount importance to ensure flight safety and efficiency for
autonomous drones. Recent research starts to use Deep Neural Networks (DNN) to …

DNN inferences are widely emerging as a service and must run in sub-second latency,
which need GPU hardware to achieve parallel accelerating. Prior works to improve the …

With the breakthrough of deep learning technology and the rapid growth of Internet of Things
(IoT'), a fast-increasing number of artificial intelligence (AI) applications are being widely …

Many Internet of Things (IoT) applications require compute resources that cannot be
provided by the devices themselves. On the other hand, processing of the data generated by …

Unmanned aerial vehicles (UAVs) have attracted great interest in the last few years owing to
their ability to cover large areas and access difficult and hazardous target zones, which is …

The success of an unmanned aerial vehicle's (UAVs) or drone's mission is contingent upon
planning, command, control, tasking, and communications. Drone-mounted payloads impact …

Despite the soaring use of convolutional neural networks (CNNs) in mobile applications,
uniformly sustaining high-performance inference on mobile has been elusive due to the …

Following the recent success of deep neural networks (DNN) on video computer vision
tasks, performing DNN inferences on videos that originate from mobile devices has gained …

Computing in drones has recently become popular for various real-world applications. To
assure the performance and reliability of drone computing, systems can also adopt …