[HTML][HTML] Holistic review of UAV-centric situational awareness: Applications, limitations, and algorithmic challenges
This paper presents a comprehensive survey of UAV-centric situational awareness (SA),
delineating its applications, limitations, and underlying algorithmic challenges. It highlights …
delineating its applications, limitations, and underlying algorithmic challenges. It highlights …
Review of target geo-location algorithms for aerial remote sensing cameras without control points
Y Cai, Y Zhou, H Zhang, Y **a, P Qiao, J Zhao - Applied Sciences, 2022 - mdpi.com
Aerial cameras are one of the main devices for obtaining ground images in the air. Since the
industrial community sets higher requirements of aerial cameras' self-locating performance …
industrial community sets higher requirements of aerial cameras' self-locating performance …
A deep reinforcement learning algorithm for trajectory planning of swarm UAV fulfilling wildfire reconnaissance
Wildfires have long been one of the critical environmental disasters that require a careful
monitoring system. An intelligent system has the potential to both prevent/extinguish the fire …
monitoring system. An intelligent system has the potential to both prevent/extinguish the fire …
Energy‐efficient animal tracking with multi‐unmanned aerial vehicle path planning using reinforcement learning and wireless sensor networks
In recent years, the integration of wireless sensor networks (WSNs) and unmanned aerial
vehicles (UAVs) has been a popular research domain in animal tracking due to animal …
vehicles (UAVs) has been a popular research domain in animal tracking due to animal …
Application of improved grey wolf model in collaborative trajectory optimization of unmanned aerial vehicle swarm
J Chen, Y Chen, R Nie, L Liu, J Liu, Y Qin - Scientific Reports, 2024 - nature.com
With the development of science and technology and economy, UAV is used more and more
widely. However, the existing UAV trajectory planning methods have the limitations of high …
widely. However, the existing UAV trajectory planning methods have the limitations of high …
Consensus-based virtual leader tracking algorithm for flight formation control of swarm UAVs
Technological developments in industrial areas also impact unmanned aerial vehicles
(UAVs). Recent improvements in both software and hardware have significantly increased …
(UAVs). Recent improvements in both software and hardware have significantly increased …
İnsansız hava araçları konulu lisansüstü tezlerin bibliyometrik analizi
İnsansız hava aracı, insan pilotu olmadan uçabilen, genellikle uzaktan kumanda veya
önceden programlanmış görevlerde kullanılan hava aracıdır. Bu çalışmada 2014-2023 yılları …
önceden programlanmış görevlerde kullanılan hava aracıdır. Bu çalışmada 2014-2023 yılları …
Multi-agent reinforcement learning with action masking for uav-enabled mobile communications
D Rizvi, D Boyle - IEEE Transactions on Machine Learning in …, 2024 - ieeexplore.ieee.org
Unmanned Aerial Vehicles (UAVs) are increasingly used as aerial base stations to provide
ad hoc communications infrastructure. Building upon prior research efforts which consider …
ad hoc communications infrastructure. Building upon prior research efforts which consider …
Intelligent collaboration of multi-agent flying uav-fog networking for better qos
Unmanned Aerial Vehicles (UAVs) are becoming a worldwide trend in the drive for technical
improvements. The robust approach between densely deployed Internet of Things (IoT) …
improvements. The robust approach between densely deployed Internet of Things (IoT) …
Real-time Observation of Earthquake Disaster Zones with Wireless Sensor Networks-based Solutions
Earthquakes are a dangerous natural hazard causing a lot of damages in human life. It is
well-known that earthquakes can occur at any time and an early prediction of such an …
well-known that earthquakes can occur at any time and an early prediction of such an …