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Zirui Li
Zirui Li
Ph.D Candidate, Beijing Institute of Technology | TU Dresden | TU Delft
Bestätigte E-Mail-Adresse bei bit.edu.cn - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
822021
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
742021
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
682021
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
642021
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
582019
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
452019
Review on Vehicle Detection Technology for Unmanned Ground Vehicles
Q Liu, Z Li, S Yuan, Y Zhu, X Li
Sensors 21 (4), 2021
422021
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
372020
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
332018
Occlusion Handling and Multi-scale Pedestrian Detection Based on Deep Learning: A Review
F Li, X Li, Q Liu, Z Li
IEEE Access, 2021
302021
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
292019
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
282022
A Survey on Sensor Technologies for Unmanned Ground Vehicles
Q Liu, S Yuan, Z Li
IEEE ICUS 2020, 2020
262020
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
252022
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
212019
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
202022
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
20*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
182023
Hierarchical Motion Planning and Tracking for Autonomous Vehicles Using Global Heuristic Based Potential Field and Reinforcement Learning Based Predictive Control
G Du, Y Zou, X Zhang, Z Li, Q Liu
IEEE Transactions on Intelligent Transportation Systems, 2023
182023
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
172022
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