Drone fleets with onboard cameras coupled with DNN inferencing models can support
diverse applications, from infrastructure monitoring to package deliveries. Here, we propose …

Advances in edge computing, accelerators, computer vision, and artificial intelligence have
led to the widespread application of autonomous vehicles such as drones. Besides logistics …

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 …

Unmanned Aerial Vehicles (UAVs) or drones are increasingly used for urban applications
like traffic monitoring and construction surveys. Autonomous navigation allows drones to …

In data-driven applications, which go beyond simple data collection, drones may need to
process sensor measurements at certain locations, during the mission. However, the …

Real-time video analytics on small autonomous drones poses several difficult challenges at
the intersection of wireless bandwidth, processing capacity, energy consumption, result …

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 …

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

Unmanned Aerial Vehicles (UAVs) are gaining a lot of popularity among research
communities as well as various service providers. The UAVs deployed in mission-critical …

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 …