Yun Lu

Orcid: 0000-0001-8865-4452

Affiliations:
  • Beijing Institute of Technology, School of Mechanical Engineering, China
  • University of Michigan, Ann Arbor, MI, USA


According to our database1, Yun Lu authored at least 20 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Modeling Car-Following Behavior of Brain-Control Driving With Queuing Network Architecture.
IEEE Trans. Veh. Technol., May, 2024

Modeling Driver Decision Behavior of the Cut-In Process.
IEEE Trans. Intell. Transp. Syst., May, 2024

LC-RSS: A Lane-Change Responsibility-Sensitive Safety Framework Based on Data-Driven Lane-Change Prediction.
IEEE Trans. Intell. Veh., January, 2024

Why Studying Cut-ins? Comparing Cut-ins and Other Lane Changes Based on Naturalistic Driving Data.
CoRR, 2024

Why Studying Cut-ins? Comparing Cut-ins and Other Lane Changes Based on Naturalistic Driving Data.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

2023
Intention Prediction-Based Control for Vehicle Platoon to Handle Driver Cut-In.
IEEE Trans. Intell. Transp. Syst., May, 2023

Mixed Traffic Optimization With Platooning Technology Based on Stackelberg Game Theory.
Proceedings of the IEEE International Conference on Cybernetics and Intelligent Systems, 2023

A Data-Driven Long-Term Prediction Method of Mandatory and Discretionary Lane Change Based on Transformer.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

A Lane Change Assisting Framework for Large Vehicles.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Clustering and Analysis of the Driving Style in the Cut-in Process.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Preserving Data-Privacy Cooperative Control of Discrete-Time Multi-Agent Systems.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Distributed Interval Type-2 Fuzzy Filtering for Wireless Sensor Networks With Intermittent Measurements.
Proceedings of the American Control Conference, 2023

2022
Modeling of Driver Cut-in Behavior Towards a Platoon.
IEEE Trans. Intell. Transp. Syst., 2022

Direction Convolutional LSTM Network: Prediction Network for Drivers' Lane-Changing Behaviours.
Proceedings of the 17th IEEE International Conference on Control & Automation, 2022

A Scenario Encoding Model for Long-Term Lane-Change Prediction Using Self-Organizing Map.
Proceedings of the 17th International Conference on Control, 2022

2021
Human Behavior Model-Based Predictive Control of Longitudinal Brain-Controlled Driving.
IEEE Trans. Intell. Transp. Syst., 2021

2020
Model Predictive-Based Shared Control for Brain-Controlled Driving.
IEEE Trans. Intell. Transp. Syst., 2020

2017
Model predictive control for a brain-controlled mobile robot.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

2016
A shared controller for brain-controlled assistive vehicles.
Proceedings of the IEEE International Conference on Advanced Intelligent Mechatronics, 2016

2015
Queuing network modeling of brain-controlled vehicles.
Proceedings of the IEEE International Conference on Information and Automation, 2015


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