Path planning is one of the most important problems to be explored in unmanned aerial
vehicles (UAVs) for finding an optimal path between source and destination. Although, in …

Unmanned aerial vehicles (UAVs) have recently rapidly grown to facilitate a wide range of
innovative applications that can fundamentally change the way cyber-physical systems …

Unmanned aerial vehicles (UAVs) and UAV traffic management (UTM) have drawn attention
for applications such as parcel delivery, aerial mapping, agriculture, and surveillance based …

Person re-identification benefits greatly from deep neural networks (DNN) to learn accurate
similarity metrics and robust feature embeddings. However, most of the current methods …

In this article, for a marine aerial-surface heterogeneous (MASH) system composed by a
quadrotor unmanned aerial vehicle (UAV) and an unmanned surface vehicle (USV) with …

In this paper, we present a novel integrated vehicular system using collaborative unmanned
aerial vehicles (UAVs) and unmanned ground vehicles (UGVs) for autonomous exploration …

Routing remains the most important problem to be explored, for discovering an ideal
pathway in unmanned aerial vehicles (UAVs). Several problems for identifying and targeting …

Drones have a wide range of applications in urban environments as they can both enhance
people's daily activities and commercial activities through various operations and …

Combined with artificial potential field (APF) method, an adaptive leader-following formation
control with collision avoidance strategy is developed for a class of second-order nonlinear …

With the rapid development of artificial intelligence technology, the multi-UAV cooperative
search has wide applications in the field of Internet of Things, such as resource exploration …