Chao Lu

发表

An Ensemble Learning Framework for Vehicle Trajectory Prediction in Interactive Scenarios

Zirui Li, Qi Liu, Yunlong Lin, 2022, ArXiv.

A Hybrid Motion Planning Framework for Autonomous Driving in Mixed Traffic Flow

Jian-wei Gong, Chao Lu, Guang-ming Xiong, 2022, Green Energy and Intelligent Transportation.

A Pseudospectral Strategy for Lane Change Maneuver of Automated Vehicles on the Highway

Huiyan Chen, Jianwei Gong, Yu Zhang, 2018, CICTP 2018.

Prediction of Pedestrian Spatiotemporal Risk Levels for Intelligent Vehicles: A Data-driven Approach pdf

Jinghang Li, Chao Lu, Zheyu Zhang, 2021, ArXiv.

Driver Behavior Modelling at the Urban Intersection via Canonical Correlation Analysis

Jianwei Gong, Cheng Gong, Zirui Li, 2020, 2020 3rd International Conference on Unmanned Systems (ICUS).

Hybrid-Learning-Based Classification and Quantitative Inference of Driver Braking Intensity of an Electrified Vehicle

Dongpu Cao, Chao Lu, Chen Lv, 2018, IEEE Transactions on Vehicular Technology.

Hierarchical Reinforcement Learning Combined with Motion Primitives for Automated Overtaking

Jianwei Gong, Chao Lu, Yang Yu, 2020, 2020 IEEE Intelligent Vehicles Symposium (IV).

Lateral and Longitudinal Driving Behavior Prediction Based on Improved Deep Belief Network

Lianzhen Wei, Lei Yang, Chao Lu, 2021, Sensors.

Transfer Learning for Driver Model Adaptation in Lane-Changing Scenarios Using Manifold Alignment

Dongpu Cao, Chao Lu, Jianwei Gong, 2020, IEEE Transactions on Intelligent Transportation Systems.

Learning Driver-Specific Behavior for Overtaking: A Combined Learning Framework

Junqiang Xi, Dongpu Cao, Jianwei Gong, 2018, IEEE Transactions on Vehicular Technology.

Design of Dynamic Modular Neural Network Based on Adaptive Particle Swarm Optimization Algorithm

Chao Lu, Wen-Jing Li, Jun-Fei Qiao, 2018, IEEE Access.

A learning model for personalized adaptive cruise control

Gang Wang, Xin Chen, Chao Lu, 2017, 2017 IEEE Intelligent Vehicles Symposium (IV).

Coordinated Ramp Metering with Equity Consideration Using Reinforcement Learning

Jianwei Gong, Lianbo Deng, Jie Huang, 2017 .

Energy oriented driving behavior analysis and personalized prediction of vehicle states with joint time series modeling

Dongpu Cao, Chen Lv, Chao Lu, 2020 .

Early Recognition of Driving Intention for Lane Change Based on Recurrent Hidden Semi-Markov Model

Chao Lu, Shaohang Xu, Hui Yao, 2020, IEEE Transactions on Vehicular Technology.

Continual Interactive Behavior Learning With Traffic Divergence Measurement: A Dynamic Gradient Scenario Memory Approach

Zirui Li, Yunlong Lin, Cheng Gong, 2022, ArXiv.

A Personalized Behavior Learning System for Human-Like Longitudinal Speed Control of Autonomous Vehicles

Dongpu Cao, Jianwei Gong, Chao Lu, 2019, Sensors.

A Time-Efficient Approach for Decision-Making Style Recognition in Lane-Changing Behavior

Junqiang Xi, Wenshuo Wang, Jian-wei Gong, 2018, IEEE Transactions on Human-Machine Systems.

Continual Driver Behaviour Learning for Connected Vehicles and Intelligent Transportation Systems: Framework, Survey and Challenges

Shanzhi Chen, Zirui Li, Yunlong Lin, 2023, Green Energy and Intelligent Transportation.

Instance-Level Knowledge Transfer for Data-Driven Driver Model Adaptation With Homogeneous Domains

Feiyue Wang, Wenshuo Wang, Chen Lv, 2022, IEEE Transactions on Intelligent Transportation Systems.

Importance Weighted Gaussian Process Regression for Transferable Driver Behaviour Learning in the Lane Change Scenario

Junqiang Xi, Zirui Li, Chao Lu, 2020, IEEE Transactions on Vehicular Technology.

A Comparative Study on Transferable Driver Behavior Learning Methods in the Lane-Changing Scenario

Jianwei Gong, Chao Lu, Zirui Li, 2019, 2019 IEEE Intelligent Transportation Systems Conference (ITSC).

Transferable Driver Behavior Learning via Distribution Adaption in the Lane Change Scenario*

Jianwei Gong, Chao Lu, Youzhi Xu, 2019, 2019 IEEE Intelligent Vehicles Symposium (IV).

Virtual-to-Real Knowledge Transfer for Driving Behavior Recognition: Framework and a Case Study

Dongpu Cao, Chao Lu, Jianwei Gong, 2019, IEEE Transactions on Vehicular Technology.

Development and Evaluation of Two Learning-Based Personalized Driver Models for Pure Pursuit Path-Tracking Behaviors

Gang Wang, Chao Lu, Jianwei Gong, 2018, 2018 IEEE Intelligent Vehicles Symposium (IV).

Personalized Driver Braking Behavior Modelling in the Car-following Scenario: An Importance Weight-based Transfer Learning Approach

Zirui Li, Jian-wei Gong, Chao Lu, 2022, IEEE Transactions on Industrial Electronics.

An indirect reinforcement learning approach for ramp control under incident-induced congestion

Chao Lu, Haibo Chen, Susan Grant-Muller, 2013, 16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013).

A Cooperative Driving Strategy Based on Velocity Prediction for Connected Vehicles With Robust Path-Following Control

Chao Lu, Yimin Chen, Wenbo Chu, 2020, IEEE Internet of Things Journal.

A Hierarchical Framework for Interactive Behaviour Prediction of Heterogeneous Traffic Participants Based on Graph Neural Network

Zirui Li, Chao Lu, Jianwei Gong, 2022, IEEE Transactions on Intelligent Transportation Systems.

Interactive Behavior Prediction for Heterogeneous Traffic Participants in the Urban Road: A Graph-Neural-Network-Based Multitask Learning Framework

Jianwei Gong, Zirui Li, Chao Lu, 2021, IEEE/ASME Transactions on Mechatronics.

Adaptive Decision Making at the Intersection for Autonomous Vehicles Based on Skill Discovery

L. Yang, Zirui Li, Jian-wei Gong, 2022, 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC).

Autonomous Overtaking for Intelligent Vehicles Considering Social Preference Based on Hierarchical Reinforcement Learning

Yang Yu, Jian-wei Gong, Chao Lu, 2022, Automotive Innovation.

A personalized curve driving model for intelligent vehicle

Guangming Xiong, Jianwei Gong, Chao Lu, 2017, 2017 IEEE International Conference on Unmanned Systems (ICUS).

An integrated approach for dynamic traffic routing and ramp metering using sliding mode control

Chao Lu, Hardy Karim, Hirsh Majid, 2018 .

Fusion of Gaze and Scene Information for Driving Behaviour Recognition: A Graph-Neural-Network- Based Framework

Zirui Li, Jian-wei Gong, Chao Lu, 2023, IEEE Transactions on Intelligent Transportation Systems.

Life-Long Multi-Task Learning of Adaptive Path Tracking Policy for Autonomous Vehicle pdf

Zirui Li, Chao Lu, Cheng Gong, 2021, ArXiv.