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A survey of indoor and outdoor uav-based target tracking systems: Current status, challenges, technologies, and future directions
Due to their distinctive features, unmanned aerial vehicles (UAVs) have been recently
exploited to support a wide range of applications. The features include low maintenance …
exploited to support a wide range of applications. The features include low maintenance …
[HTML][HTML] Reinforcement learning for swarm robotics: An overview of applications, algorithms and simulators
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 …
increased in popularity in recent years. Many sectors have benefited from this by increasing …
A review of indoor positioning systems for UAV localization with machine learning algorithms
The potential of indoor unmanned aerial vehicle (UAV) localization is paramount for
diversified applications within large industrial sites, such as hangars, malls, warehouses …
diversified applications within large industrial sites, such as hangars, malls, warehouses …
A survey on localization for autonomous vehicles
Research on autonomous vehicles has made significant advances in recent years. To
operate an autonomous vehicle safely and effectively, precise localization is essential. This …
operate an autonomous vehicle safely and effectively, precise localization is essential. This …
Unmanned autonomous intelligent system in 6G non-terrestrial network
X Wang, Y Guo, Y Gao - Information, 2024 - mdpi.com
Non-terrestrial network (NTN) is a trending topic in the field of communication, as it shows
promise for scenarios in which terrestrial infrastructure is unavailable. Unmanned …
promise for scenarios in which terrestrial infrastructure is unavailable. Unmanned …
[HTML][HTML] Current applications and potential future directions of reinforcement learning-based Digital Twins in agriculture
Digital Twins have gained attention in various industries by creating virtual replicas of real-
world systems through data collection and machine learning. These replicas are used to run …
world systems through data collection and machine learning. These replicas are used to run …
On learning generalized wireless MAC communication protocols via a feasible multi-agent reinforcement learning framework
Automatically learning medium access control (MAC) communication protocols via multi-
agent reinforcement learning (MARL) has received huge attention to cater to the extremely …
agent reinforcement learning (MARL) has received huge attention to cater to the extremely …
Reinforcement learning for joint detection and map** using dynamic UAV networks
Dynamic radar networks (DRNs), usually composed of flying unmanned aerial vehicles
(UAVs), have recently attracted great interest for time-critical applications, such as search …
(UAVs), have recently attracted great interest for time-critical applications, such as search …
Networks of UAVs of low complexity for time-critical localization
Future networks of unmanned aerial vehicles (UAVs) will be tasked to carry out ever-
increasing complex operations that are time-critical and that require accurate localization …
increasing complex operations that are time-critical and that require accurate localization …
A novel method of UAV-assisted trajectory localization for forestry environments
J Huang, X Guo - Sensors, 2024 - mdpi.com
Global positioning systems often fall short in dense forest environments, leading to
increasing demand for innovative localization methods. Notably, existing methods suffer …
increasing demand for innovative localization methods. Notably, existing methods suffer …