Deep learning breakthrough stimulates new research trends in civil infrastructure inspection,
whereas the lack of quality-guaranteed, human-annotated, free-of-charge, and publicly …

This work presents a review and discussion of the challenges that must be solved in order to
successfully develop swarms of Micro Air Vehicles (MAVs) for real world operations. From …

The emerging Internet of Things (IoT) applications, such as smart manufacturing and smart
home, lead to a huge demand on the provisioning of low-cost and high-accuracy positioning …

Swarm Intelligence (SI) is a popular multi-agent framework that has been originally inspired
by swarm behaviors observed in natural systems, such as ant and bee colonies. In a system …

This puts forth an infrastructure-free cooperative relative localization (RL) for unmanned
aerial vehicles (UAVs) in global positioning system (GPS)-denied environments. Instead of …

As one type of unmanned aerial vehicles, the quadrotor typically suffers from payload
variations, system uncertainties, and environmental wind disturbances, which significantly …

A large body of work has shown that ultra-wideband (UWB) technology enables accurate
indoor localization and tracking thanks to its high time-domain resolution. Existing systems …

Ultra-wideband wireless positioning technologies based on IEEE 802.15. 4a have gained
attention for various use cases requiring highly precise localization. Multi-rotor unmanned …

This paper deals with the formation control problem of multiple unmanned aerial vehicles
(UAVs) with collision avoidance. A distributed formation control and collision avoidance …

In recent years, onboard self-localization (OSL) methods based on cameras or lidar have
achieved many significant progresses. However, some issues such as estimation drift and …