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Zirui Li
Zirui Li
Andere namen李子睿
Ph.D Candidate in Beijing Institute of Technology and Visiting Researcher in TU Dresden
Geverifieerd e-mailadres voor bit.edu.cn - Homepage
Titel
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Jaar
Decision-Making Technology for Autonomous Vehicles: Learning-Based Methods, Applications and Future Outlook
Q Liu, X Li, S Yuan, Z Li
IEEE ITSC 2021, 2021
562021
Transfer Learning for Driver Model Adaptation in Lane-changing Scenarios using Manifold Alignment
C Lu, F Hu, D Cao, J Gong, Y Xing, Z Li
IEEE Transactions on Intelligent Transportation Systems, 2019
552019
A Hierarchical Framework for Interactive Behaviour Prediction of Heterogeneous Traffic Participants based on Graph Neural Network
Z Li, C Lu, Y Yi, J Gong
IEEE Transactions on Intelligent Transportation Systems, 2021
532021
Interactive Behaviour Prediction for Heterogeneous Traffic Participants In the Urban Road: A Graph Neural Network-based Multi-task Learning Framework
Z Li, J Gong, C Lu, Y Yi
IEEE/ASME Transactions on Mechatronics, 2021
502021
Autonomous Driving Strategies at Intersections: Scenarios, State-of-the-Art, and Future Outlooks
L Wei, Z Li, J Gong, C Gong, J Li
IEEE ITSC 2021, 2021
492021
Virtual-to-Real Knowledge Transfer for Driving Behaviour Recognition: Framework and a Case Study
C Lu, F Hu, D Cao, J Gong, Y Xing, Z Li
IEEE Transactions on Vehicular Technology, 2019
412019
Importance Weighted Gaussian Process Regression for Transferable Driver Behaviour Learning in the Lane Change Scenario
Z Li, J Gong, C Lu, J Xi
IEEE Transactions on Vehicular Technology 69 (11), 12497 - 12509, 2020
352020
Development and Evaluation of Two Learning-Based Personalized Driver Model for Pure pursuit Path-Tracking Behaviors
Z Li, B Wang, J Gong, T Gao, C Lu, G Wang
2018 IEEE Intelligent Vehicles Symposium (IV), 2018
312018
Review on Vehicle Detection Technology for Unmanned Ground Vehicles
Q Liu, Z Li, S Yuan, Y Zhu, X Li
Sensors 21 (4), 2021
272021
Transferable Driver Behavior Learning via Distribution Adaption in the Lane Change Scenario
Z Li, C Gong, C Lu, J Gong, J Lu, Y Xu, F Hu
IEEE Intelligent Vehicles Symposium (IV), 2019
272019
Occlusion Handling and Multi-scale Pedestrian Detection Based on Deep Learning: A Review
F Li, X Li, Q Liu, Z Li
IEEE Access, 2021
212021
Personalized Driver Braking Behavior Modelling in the Car-following Scenario: An Importance Weight-based Transfer Learning Approach
Z Li, J Gong, C Lu, J Li
IEEE Transactions on Industrial Electronics, 2022
192022
A Survey on Sensor Technologies for Unmanned Ground Vehicles
Q Liu, S Yuan, Z Li
IEEE ICUS 2020, 2020
192020
A Comparative Study on Transferable Driver Behavior Learning Methods in the Lane-Changing Scenario
C Gong, Z Li, C Lu, J Gong, F Hu
The 22nd IEEE International Conference on Intelligent Transportation Systems, 2019
192019
A Transferable Energy Management Strategy for Hybrid Electric Vehicles via Dueling Deep Deterministic Policy Gradient
J Xu, Z Li, G Du, Q Liu, L Gao, Y Zhao
Green Energy and Intelligent Transportation, 2022
182022
Multi-agent Decision-making Modes in Uncertain Interactive Traffic Scenarios via Graph Convolution-Based Deep Reinforcement Learning
X Gao, X Li, Q Liu, Z Li, F Yang
Sensors, 2022
162022
A Comparative Study of Deep Reinforcement Learning-based Transferable Energy Management Strategies for Hybrid Electric Vehicles
J Xu, Z Li, L Gao, J Ma, Q Liu, Y Zhao
IEEE Intelligent Vehicles Symposium (IV), 2022
132022
Graph Convolution-Based Deep Reinforcement Learning for Multi-Agent Decision-Making in Interactive Traffic Scenarios
Q Liu *, Z Li*, J Wu, X Li, S Yuan
IEEE ITSC 2022, 2021
12*2021
Continual Driver Behaviour Learning for Connected Vehicles and Intelligent Transportation Systems: Framework, Survey and Challenges
Z Li, C Gong, Y Lin, G Li, X Wang, C Lu, M Wang, S Chen, J Gong
Green Energy and Intelligent Transportation, 2023
112023
Hierarchical Reinforcement Learning Combined with Motion Primitives for Automated Overtaking
Y Yu, C Lu, L Yang, Z Li, F Hu, J Gong
IEEE Intelligent Vehicles Symposium (IV), 2020
112020
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Artikelen 1–20