Results 1 to 10 of about 72,988 (218)

Factored Multi-Agent Soft Actor-Critic for Cooperative Multi-Target Tracking of UAV Swarms

Drones, 2023
In recent years, significant progress has been made in the multi-target tracking (MTT) of unmanned aerial vehicle (UAV) swarms. Most existing MTT approaches rely on the ideal assumption of a pre-set target trajectory. However, in practice, the trajectory
Longfei Yue, Rennong Yang, Jialiang Zuo, Mengda Yan, Xiaoru Zhao, Maolong Lv   +5 more
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Deep Reinforcement Learning for UAV Intelligent Mission Planning

Complexity, 2022
Rapid and precise air operation mission planning is a key technology in unmanned aerial vehicles (UAVs) autonomous combat in battles. In this paper, an end-to-end UAV intelligent mission planning method based on deep reinforcement learning (DRL) is ...
Longfei Yue, Rennong Yang, Ying Zhang, Lixin Yu, Zhuangzhuang Wang   +4 more
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Trajectory Prediction of Target Aircraft Based on HPSO-TPFENN Neural Network

Xibei Gongye Daxue Xuebao, 2019
Trajectory prediction plays an important role in modern air combat. Aiming at the large degree of modern simplification, low prediction accuracy, poor authenticity and reliability of data sample in traditional methods, a trajectory prediction method ...

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Two-Layer Optimization Algorithm for Multi-UAV Conflict Resolution considering Individual Fairness

International Journal of Aerospace Engineering, 2021
In order to solve the unfair individual payment costs problem in the low-altitude unmanned aerial vehicle (UAV) conflict resolution process, a multi-UAV conflict resolution algorithm based on the cooperative game concept “coalition complaint value” is ...
Xusheng Gan, Honghong Zhang, Yarong Wu, Jingjuan Sun, Guhao Zhao, Fugen Lin   +5 more
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An ADS-B Information-Based Collision Avoidance Methodology to UAV

Actuators, 2023
A collision avoidance method that is specifically tailored for UAVs (unmanned aerial vehicles) operating in converging airspace is proposed. The method is based on ADS-B messages and it aims to detect and resolve conflicts between UAVs.
Liang Tong, Xusheng Gan, Yarong Wu, Nan Yang, Maolong Lv   +4 more
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A Normal Wiggly Pythagorean Hesitant Fuzzy Bidirectional Projection Method and Its Application in EV Power Battery Recycling Mode Selection

IEEE Access, 2020
As a useful mathematical tool to solve the multi-attribute decision-making (MADM) problems, Pythagorean hesitant fuzzy set (PHFS) permits decision makers (DMs) to give several evaluation values in membership and non-membership degrees.
Chengxiu Yang, Qianzhe Wang, Weidong Peng, Jiaqiang Zhang, Jie Zhu   +4 more
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Optimized ST-Moran’s I Model for Characterizing the Dynamic Evolution of Terminal Airspace Congestion

Journal of Advanced Transportation
This study aims to unveil the spatiotemporal evolution of congestion within terminal airspace, offering an in-depth analysis of congestion concerns to effectively utilize airspace resources and devise targeted control strategies, thereby enhancing ...
Honghao Chen, Xinping Zhu, Yajun Zou, Zhongkun Li, Tianxiong Zhang   +4 more
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Panoramic Convolutional Long Short-Term Memory Networks for Combat Intension Recognition of Aerial Targets

IEEE Access, 2020
Aiming at the limitation that traditional methods for combat intention recognition of aerial targets are difficult to effectively capture the essential characteristics of intelligence information, we design a novel deep learning method, Panoramic ...
Junjie Xue, Jie Zhu, Jiyang Xiao, Sheng Tong, Ling Huang   +4 more
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Air Channel Planning Based on Improved Deep Q-Learning and Artificial Potential Fields

Aerospace, 2023
With the rapid advancement of unmanned aerial vehicle (UAV) technology, the widespread utilization of UAVs poses significant challenges to urban low-altitude safety and airspace management.
Jie Li, Di Shen, Fuping Yu, Renmeng Zhang   +3 more
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Reconnaissance Mission Conducted by UAV Swarms Based on Distributed PSO Path Planning Algorithms

IEEE Access, 2019
Reconnaissance mission has a wide application in both civil and military fields, which provides intelligence and basis for the following decision-making to accomplish certain goals.
Yubing Wang, Peng Bai, Xiaolong Liang, Weijia Wang, Jiaqiang Zhang, Qixi Fu   +5 more
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