Robots such as drones, ground rovers, underwater vehicles and industrial robots have
increased in popularity in recent years. Many sectors have benefited from this by increasing …

Since the inception of sustainable green unmanned aerial vehicles (UAV), energy efficiency
and mission-oriented intentions are the emerging turns in the UAV sector. This study aims to …

Benefiting from the powerful feature extraction capability of deep learning, the Siamese
tracker stands out due to its advanced tracking performance. However, constrained by the …

Unmanned Aerial Vehicles (UAVs), commonly known as drones, show great potential in
advancing the United Nations (UN) Sustainable Development Goals (SDGs), a collection of …

The measurement of target position in dual or multiple unmanned aerial vehicle (UAV)
scenarios presents significant challenges, including data fusion for accurate location and …

Wireless rechargeable sensor networks (WRSNs) have the potential to significantly enhance
the efficiency of existing transportation systems and are rapidly becoming a key element of …

IN RECENT years, the application of multicopter unmanned aerial vehicles (UAVs) has
experienced rapid growth across diverse sectors, including surveillance, reconnaissance …

Fire detection using aerial platform is an important technology for forest surveillance. But the
real-time detection capability is still a challenging problem. In this paper, an edge computing …

In this paper, we design and implement a fire detection algorithm using an unmanned aerial
vehicle (UAV). In particular, we consider a scenario where a UAV is employed to find a fire …

Utilizing autonomous drones or unmanned aerial vehicles (UAVs) has shown great
advantages over preceding methods in support of urgent scenarios such as search and …