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Future Intelligent and Secure Vehicular Network Toward 6G: Machine-Learning Approaches
Future Intelligent and Secure Vehicular Network Toward 6G: Machine-Learning Approaches
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Future Intelligent and Secure Vehicular Network Toward 6G: Machine-Learning Approaches

Tang, Fengxiao ; Kawamoto, Yuichi ; Kato, Nei ; Liu, Jiajia

Proceedings of the IEEE, 2020-02, Vol.108 (2), p.292-307 [Periódico revisado por pares]

New York: IEEE

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Pavement Friction Evaluation Based on Vehicle Dynamics and Vision Data Using a Multi-Feature Fusion Network
Pavement Friction Evaluation Based on Vehicle Dynamics and Vision Data Using a Multi-Feature Fusion Network
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Pavement Friction Evaluation Based on Vehicle Dynamics and Vision Data Using a Multi-Feature Fusion Network

Du, Zhao ; Skar, Asmus ; Pettinari, Matteo ; Zhu, Xingyi

Transportation research record, 2023-11, Vol.2677 (11), p.219-236 [Periódico revisado por pares]

Los Angeles, CA: SAGE Publications

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Ensuring the Reliability of Virtual Sensors Based on Artificial Intelligence within Vehicle Dynamics Control Systems
Ensuring the Reliability of Virtual Sensors Based on Artificial Intelligence within Vehicle Dynamics Control Systems
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Ensuring the Reliability of Virtual Sensors Based on Artificial Intelligence within Vehicle Dynamics Control Systems

Sieberg, Philipp Maximilian ; Schramm, Dieter

Sensors (Basel, Switzerland), 2022-05, Vol.22 (9), p.3513 [Periódico revisado por pares]

Switzerland: MDPI AG

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Improved bald eagle search algorithm with dimension learning-based hunting for autonomous vehicle including vision dynamics
Improved bald eagle search algorithm with dimension learning-based hunting for autonomous vehicle including vision dynamics
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Improved bald eagle search algorithm with dimension learning-based hunting for autonomous vehicle including vision dynamics

Elsisi, M. ; Essa, Mohamed El-Sayed M.

Applied intelligence (Dordrecht, Netherlands), 2023-05, Vol.53 (10), p.11997-12014 [Periódico revisado por pares]

New York: Springer US

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5
Modified model free dynamic programming :an augmented approach for unmanned aerial vehicle
Modified model free dynamic programming :an augmented approach for unmanned aerial vehicle
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Modified model free dynamic programming :an augmented approach for unmanned aerial vehicle

Din, Adnan Fayyaz Ud ; Akhtar, Suhail ; Maqsood, Adnan ; Habib, Muzaffar ; Mir, Imran

Applied intelligence (Dordrecht, Netherlands), 2023-02, Vol.53 (3), p.3048-3068 [Periódico revisado por pares]

New York: Springer US

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Health Monitoring System for Autonomous Vehicles using Dynamic Bayesian Networks for Diagnosis and Prognosis
Health Monitoring System for Autonomous Vehicles using Dynamic Bayesian Networks for Diagnosis and Prognosis
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Health Monitoring System for Autonomous Vehicles using Dynamic Bayesian Networks for Diagnosis and Prognosis

Gomes, Iago Pachêco ; Wolf, Denis Fernando

Journal of intelligent & robotic systems, 2021-01, Vol.101 (1), Article 19 [Periódico revisado por pares]

Dordrecht: Springer Netherlands

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7
LVD-NMPC: A learning-based vision dynamics approach to nonlinear model predictive control for autonomous vehicles
LVD-NMPC: A learning-based vision dynamics approach to nonlinear model predictive control for autonomous vehicles
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LVD-NMPC: A learning-based vision dynamics approach to nonlinear model predictive control for autonomous vehicles

Grigorescu, Sorin ; Ginerica, Cosmin ; Zaha, Mihai ; Macesanu, Gigel ; Trasnea, Bogdan

International journal of advanced robotic systems, 2021-05, Vol.18 (3), p.172988142110195 [Periódico revisado por pares]

London, England: SAGE Publications

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8
Learning-Based Methods of Perception and Navigation for Ground Vehicles in Unstructured Environments: A Review
Learning-Based Methods of Perception and Navigation for Ground Vehicles in Unstructured Environments: A Review
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Learning-Based Methods of Perception and Navigation for Ground Vehicles in Unstructured Environments: A Review

Guastella, Dario Calogero ; Muscato, Giovanni

Sensors (Basel, Switzerland), 2020-12, Vol.21 (1), p.73 [Periódico revisado por pares]

Switzerland: MDPI AG

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9
Reentry Flight Capability Assessment Based on Dynamics–Informed Neural Network and Piecewise Guidance
Reentry Flight Capability Assessment Based on Dynamics–Informed Neural Network and Piecewise Guidance
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Reentry Flight Capability Assessment Based on Dynamics–Informed Neural Network and Piecewise Guidance

Liu, Kai ; Zhang, Jili ; Guo, Xinlu

Aerospace, 2022-12, Vol.9 (12), p.790 [Periódico revisado por pares]

Basel: MDPI AG

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10
Deep Learning and Artificial Neural Networks for Spacecraft Dynamics, Navigation and Control
Deep Learning and Artificial Neural Networks for Spacecraft Dynamics, Navigation and Control
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Deep Learning and Artificial Neural Networks for Spacecraft Dynamics, Navigation and Control

Silvestrini, Stefano ; Lavagna, Michèle

Drones (Basel), 2022-09, Vol.6 (10), p.270 [Periódico revisado por pares]

MDPI AG

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