Deep learning in air traffic management (ATM): a survey on applications, opportunities, and open challenges
EC Pinto Neto, DM Baum, JR Almeida Jr… - Aerospace, 2023 - mdpi.com
Currently, the increasing number of daily flights emphasizes the importance of air
transportation. Furthermore, Air Traffic Management (ATM) enables air carriers to operate …
transportation. Furthermore, Air Traffic Management (ATM) enables air carriers to operate …
Federated imitation learning for UAV swarm coordination in urban traffic monitoring
B Yang, H Shi, X Xia - IEEE Transactions on Industrial …, 2022 - ieeexplore.ieee.org
The popularization of unmanned aerial vehicles (UAVs) has boosted various civil
applications such as traffic monitoring, in which the effective coordination of the UAV swarm …
applications such as traffic monitoring, in which the effective coordination of the UAV swarm …
An AUV target-tracking method combining imitation learning and deep reinforcement learning
Y Mao, F Gao, Q Zhang, Z Yang - Journal of Marine Science and …, 2022 - mdpi.com
This study aims to solve the problem of sparse reward and local convergence when using a
reinforcement learning algorithm as the controller of an AUV. Based on the generative …
reinforcement learning algorithm as the controller of an AUV. Based on the generative …
Generative adversarial inverse reinforcement learning with deep deterministic policy gradient
M Zhan, J Fan, J Guo - IEEE Access, 2023 - ieeexplore.ieee.org
Although the issue of sparse expert samples at the early stage of training in inverse
reinforcement learning (IRL) is successfully resolved by the introduction of generative …
reinforcement learning (IRL) is successfully resolved by the introduction of generative …
Robust real-time energy management for a hydrogen refueling station using generative adversarial imitation learning
As the demand for hydrogen fuel increases with the rise of fuel-cell electric vehicles
(FCEVs), the energy management of hydrogen refueling stations (HRSs) is crucial for …
(FCEVs), the energy management of hydrogen refueling stations (HRSs) is crucial for …
A Conflict Resolution Strategy at a Taxiway Intersection by Combining a Monte Carlo Tree Search with Prior Knowledge
D Sui, H Chen, T Zhou - Aerospace, 2023 - mdpi.com
With the escalating complexity of surface operations at large airports, the conflict risk for
aircraft taxiing has correspondingly increased. Usually, the Air Traffic Controllers (ATCOs) …
aircraft taxiing has correspondingly increased. Usually, the Air Traffic Controllers (ATCOs) …
DeepIPC: Deeply integrated perception and control for an autonomous vehicle in real environments
In this work, we introduce DeepIPC, a novel end-to-end model tailored for autonomous
driving, which seamlessly integrates perception and control tasks. Unlike traditional models …
driving, which seamlessly integrates perception and control tasks. Unlike traditional models …
On extended state Kalman filter-based identification algorithm for aerodynamic parameters
W Bai, R Jia, P Yu, W Xue - Control Theory and Technology, 2024 - Springer
In this paper, the problem of time-varying aerodynamic parameters identification under
measurement noises is studied. By analyzing the key aerodynamic parameters that affect …
measurement noises is studied. By analyzing the key aerodynamic parameters that affect …
Towards greener airport surface operations: a reinforcement learning approach for autonomous taxiing
This study proposes an autonomous aircraft taxi agent that can be used to recommend the
pilot the optimal speed profile to achieve optimal fuel burn and to arrive on time at the target …
pilot the optimal speed profile to achieve optimal fuel burn and to arrive on time at the target …
[PDF][PDF] Mobile Robot Navigation Strategies Through Behavioral Cloning and Generative Adversarial Imitation Learning.
KLRM Silva, R Calvo - ICEIS (1), 2023 - scitepress.org
The conception of robots able to navigate autonomously through several environments
remains one of the main challenges to be overcome in the robotics research. The wide use …
remains one of the main challenges to be overcome in the robotics research. The wide use …