Assessment and analysis of accents in air traffic control speech: a fusion of deep learning and information theory [PDF]
Frontiers in NeuroroboticsIntroductionEnhancing the generalization and reliability of speech recognition models in the field of air traffic control (ATC) is a challenging task. This is due to the limited storage, difficulty in acquisition, and high labeling costs of ATC speech ...
Weijun Pan +4 more
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Analysis of routine communication in the air traffic control system [PDF]
, 1990 The present project has three related goals. The first is to describe the organization of routine controller-pilot communication. This includes identifying the basic units of communication and how they are organized into discourse, how controllers and ...
Herbert H. Clark +2 more
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Research on airspace sector optimization based on Voronoi diagram and improved K-means algorithm
Xibei Gongye Daxue Xuebao, 2023 Sector partition is an important task of air traffic control, and a reasonable sector partition can improve the utilization rate of airspace and protect the flight safety of aircrafts.
LIN Fugen +3 more
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A Joint Optimization Method for Cooperative Detection Resources Based on Channel Capacity
International Journal of Aerospace Engineering, 2022 Aiming at the resource optimization problem in the cooperative detection task, the objective function is constructed based on the channel capacity, and the artificial bee colony (ABC) algorithm is improved to realize the joint optimization of the UAV ...
Wenda Yang +3 more
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Conflict Resolution Strategy Based on Flight Conflict Network Optimal Dominating Set
International Journal of Aerospace Engineering, 2022 Aiming at the problem that the air traffic flow is increasing year by year and the flight conflicts are difficult to be deployed, we take aircraft as the node and established a flight conflict network based on the flight conflict relationship between ...
Minggong Wu +4 more
doaj +1 more source
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 +4 more
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A hierarchical reinforcement learning method for missile evasion and guidance
Scientific Reports, 2022 This paper proposes an algorithm for missile manoeuvring based on a hierarchical proximal policy optimization (PPO) reinforcement learning algorithm, which enables a missile to guide to a target and evade an interceptor at the same time.
Mengda Yan +4 more
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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 +5 more
doaj +1 more source
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 +4 more
doaj +1 more source
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 +5 more
doaj +1 more source