Topology control algorithms in multi-unmanned aerial vehicle networks: An extensive survey
In recent years, unmanned aerial vehicles (UAVs) have attracted increased attention from
academic and industrial research communities, owing to their wide range of potential …
academic and industrial research communities, owing to their wide range of potential …
Review of sensor technology to support automated air-to-air refueling of a probe configured uncrewed aircraft
As technologies advance and applications for uncrewed aircraft increase, the capability to
conduct automated air-to-air refueling becomes increasingly important. This paper provides …
conduct automated air-to-air refueling becomes increasingly important. This paper provides …
Self-powered system for real-time wireless monitoring and early warning of UAV motor vibration based on triboelectric nanogenerator
K Wang, Y Yao, Y Liu, X Guan, Y Yu, J Wang, Y Wang… - Nano Energy, 2024 - Elsevier
Unmanned aerial vehicle (UAV) is widely used in various industries due to their high
flexibility and large maneuverable space. Abnormal vibration of UAV motors can prevent it …
flexibility and large maneuverable space. Abnormal vibration of UAV motors can prevent it …
Digital-twin-assisted task assignment in multi-UAV systems: A deep reinforcement learning approach
Most existing multiunmanned aerial vehicle (multi-UAV) systems focus on fly path or energy
consumption for task assignment, while little attention has been paid to the dynamic feature …
consumption for task assignment, while little attention has been paid to the dynamic feature …
Deep reinforcement learning based trajectory optimization for magnetometer-mounted UAV to landmine detection
Unmanned aerial vehicles (UAVs) have emerged as a viable choice for data collection and
landmine (LM) detection. The LM buried under the dirt or sand is detected using a UAV …
landmine (LM) detection. The LM buried under the dirt or sand is detected using a UAV …
White shark optimizer with optimal deep learning based effective unmanned aerial vehicles communication and scene classification
Unmanned aerial vehicles (UAVs) become a promising enabler for the next generation of
wireless networks with the tremendous growth in electronics and communications. The …
wireless networks with the tremendous growth in electronics and communications. The …
Deep reinforcement learning for internet of drones networks: issues and research directions
N Aboueleneen, A Alwarafy… - IEEE Open Journal of the …, 2023 - ieeexplore.ieee.org
Internet of Drones (IoD) is one of the promising technologies to enhance the performance of
wireless networks. Deploying IoD to assist wireless networks, however, needs to address …
wireless networks. Deploying IoD to assist wireless networks, however, needs to address …
Stargate: Multimodal Sensor Fusion for Autonomous Navigation On Miniaturized UAVs
Autonomously navigating robots need to perceive and interpret their surroundings.
Currently, cameras are among the most used sensors due to their high resolution and frame …
Currently, cameras are among the most used sensors due to their high resolution and frame …
A review of perception sensors, techniques, and hardware architectures for autonomous low-altitude UAVs in non-cooperative local obstacle avoidance
MZ Butt, N Nasir, RBA Rashid - Robotics and Autonomous Systems, 2024 - Elsevier
Abstract Unmanned Aerial Vehicles (UAVs) can detect and communicate with cooperative
obstacles through established protocols. However, non-cooperative obstacles pose a …
obstacles through established protocols. However, non-cooperative obstacles pose a …
Federated deep reinforcement learning-based intelligent dynamic services in UAV-assisted MEC
Unmanned aerial vehicles (UAVs)-assisted multiaccess edge computing (MEC) has
emerged as a promising solution in B5G/6G networks. The high flexibility and seamless …
emerged as a promising solution in B5G/6G networks. The high flexibility and seamless …