Chao Lu

According to our database, Chao Lu authored at least 41 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Interactive Behavior Modeling for Vulnerable Road Users With Risk-Taking Styles in Urban Scenarios: A Heterogeneous Graph Learning Approach.

Zirui Li, Jianwei Gong, Zheyu Zhang, Chao Lu, Victor L. Knoop, Meng Wang

IEEE Trans. Intell. Transp. Syst., August, 2024

Beyond Imitation: A Life-Long Policy Learning Framework for Path Tracking Control of Autonomous Driving.

Cheng Gong, Chao Lu, Zirui Li, Zhe Liu, Jianwei Gong, Xuemei Chen

IEEE Trans. Veh. Technol., July, 2024

Prediction of Pedestrian Spatial-Temporal Risk Levels for Intelligent Vehicles: A Data- Driven Approach.

Zheyu Zhang, Chao Lu, Gege Cui, Xianghao Meng, Cheng Gong, Jianwei Gong

IEEE Trans. Veh. Technol., June, 2024

Object-Level Attention Prediction for Drivers in the Information-Rich Traffic Environment.

Qingxiao Liu, Hui Yao, Chao Lu, Haiou Liu, Yangtian Yi, Huiyan Chen

IEEE Trans. Ind. Electron., June, 2024

Leveraging Multi-Stream Information Fusion for Trajectory Prediction in Low-Illumination Scenarios: A Multi-Channel Graph Convolutional Approach.

Hailong Gong, Zirui Li, Chao Lu, Guodong Du, Jianwei Gong

IEEE Trans. Intell. Transp. Syst., May, 2024

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

Yunlong Lin, Zirui Li, Cheng Gong, Chao Lu, Xinwei Wang, Jianwei Gong

IEEE Trans. Intell. Transp. Syst., March, 2024

2023

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

Yangtian Yi, Chao Lu, Boyang Wang, Long Cheng, Zirui Li, Jianwei Gong

IEEE Trans. Intell. Transp. Syst., August, 2023

Driver-Specific Risk Recognition in Interactive Driving Scenarios Using Graph Representation.

Jinghang Li, Chao Lu, Penghui Li, Zheyu Zhang, Cheng Gong, Jianwei Gong

IEEE Trans. Veh. Technol., April, 2023

Rethinking Trajectory Prediction in Real-World Applications: An Online Task-Free Continual Learning Perspective.

Yunlong Lin, Zirui Li, Cheng Gong, Qi Liu, Chao Lu, Jianwei Gong

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

A Learning-Based Controller for Trajectory Tracking of Autonomous Vehicles in Complex and Uncertain Scenarios.

Cheng Gong, Runqi Qiu, Yunlong Lin, Zirui Li, Jianwei Gong, Chao Lu

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Towards Online Risk Assessment for Human-Robot Interaction: A Data-Driven Hamilton-Jacobi-Isaacs Reachability Approach.

Hailong Gong, Zirui Li, Chao Lu, Jianwei Gong

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

2022

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

Chao Lu, Chen Lv, Jianwei Gong, Wenshuo Wang, Dongpu Cao, Fei-Yue Wang

IEEE Trans. Intell. Transp. Syst., 2022

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

Zirui Li, Chao Lu, Yangtian Yi, Jianwei Gong

IEEE Trans. Intell. Transp. Syst., 2022

Integrated Path Planning for Unmanned Differential Steering Vehicles in Off-Road Environment With 3D Terrains and Obstacles.

Jiaming Hu, Yuhui Hu, Chao Lu, Jianwei Gong, Huiyan Chen

IEEE Trans. Intell. Transp. Syst., 2022

Personalized Driver Braking Behavior Modeling in the Car-Following Scenario: An Importance-Weight-Based Transfer Learning Approach.

Zirui Li, Jianwei Gong, Chao Lu, Jinghang Li

IEEE Trans. Ind. Electron., 2022

An Ensemble Learning Framework for Vehicle Trajectory Prediction in Interactive Scenarios.

Zirui Li, Yunlong Lin, Cheng Gong, Xinwei Wang, Qi Liu, Jianwei Gong, Chao Lu

Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022

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

Xianqi He, Lin Yang, Chao Lu, Zirui Li, Jianwei Gong

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

2021

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

Lei Yang, Chunqing Zhao, Chao Lu, Lianzhen Wei, Jianwei Gong

Sensors, 2021

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

Zheyu Zhang, Boyang Wang, Chao Lu, Jinghang Li, Cheng Gong, Jianwei Gong

CoRR, 2021

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

Cheng Gong, Jianwei Gong, Chao Lu, Zhe Liu, Zirui Li

CoRR, 2021

2020

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

Qingxiao Liu, Shaohang Xu, Chao Lu, Hui Yao, Huiyan Chen

IEEE Trans. Veh. Technol., 2020

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

Zirui Li, Jianwei Gong, Chao Lu, Junqiang Xi

IEEE Trans. Veh. Technol., 2020

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

Chao Lu, Fengqing Hu, Dongpu Cao, Jianwei Gong, Yang Xing, Zirui Li

IEEE Trans. Intell. Transp. Syst., 2020

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

Yimin Chen, Chao Lu, Wenbo Chu

IEEE Internet Things J., 2020

Driver Behavior Modelling at the Urban Intersection via Canonical Correlation Analysis.

Zirui Li, Chao Lu, Cheng Gong, Jianwei Gong, Jinghang Li, Lianzhen Wei

CoRR, 2020

Prediction of Pedestrian Risky Level for Intelligent Vehicles.

Zheyu Zhang, Chao Lu, Jinghang Li, Youzhi Xu, Junyan Lu, Zirui Li

Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

Hierarchical Reinforcement Learning Combined with Motion Primitives for Automated Overtaking.

Yang Yu, Chao Lu, Lei Yang, Zirui Li, Fengqing Hu, Jianwei Gong

Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

2019

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

Chao Lu, Fengqing Hu, Dongpu Cao, Jianwei Gong, Yang Xing, Zirui Li

IEEE Trans. Veh. Technol., 2019

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

Sen Yang, Wenshuo Wang, Chao Lu, Jianwei Gong, Junqiang Xi

IEEE Trans. Hum. Mach. Syst., 2019

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

Chao Lu, Jianwei Gong, Chen Lv, Xin Chen, Dongpu Cao, Yimin Chen

Sensors, 2019

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

Zirui Li, Cheng Gong, Chao Lu, Jianwei Gong, Junyan Lu, Youzhi Xu, Fengqing Hu

Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

An Efficient Model for Driving Focus of Attention Prediction using Deep Learning.

Minghao Ning, Chao Lu, Jianwei Gong

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Manifold Learning for Lane-changing Behavior Recognition in Urban Traffic.

Jinghang Li, Chao Lu, Youzhi Xu, Zhao Zhang, Jianwei Gong, Huijun Di

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

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

Zirui Li, Chao Lu, Jianwei Gong, Fengqing Hu

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

2018

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

Chen Lv, Yang Xing, Chao Lu, Yahui Liu, Hongyan Guo, Hongbo Gao, Dongpu Cao

IEEE Trans. Veh. Technol., 2018

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

Chao Lu, Huaji Wang, Chen Lv, Jianwei Gong, Junqiang Xi, Dongpu Cao

IEEE Trans. Veh. Technol., 2018

Learning and Generalizing Motion Primitives From Driving Data for Path-Tracking Applications.

Boyang Wang, Zirui Li, Jianwei Gong, Yidi Liu, Huiyan Chen, Chao Lu

Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018

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

Zirui Li, Boyang Wang, Jianwei Gong, Tianyun Gao, Chao Lu, Gang Wang

Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018

Transfer Learning for Driver Model Adaptation via Modified Local Procrustes Analysis.

Chao Lu, Fengqing Hu, Wenshuo Wang, Jianwei Gong, Zeliang Ding

Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018

2017

A learning model for personalized adaptive cruise control.

Xin Chen, Yong Zhai, Chao Lu, Jianwei Gong, Gang Wang

Proceedings of the IEEE Intelligent Vehicles Symposium, 2017

Speed and steering angle prediction for intelligent vehicles based on deep belief network.

Chunqing Zhao, Jianwei Gong, Chao Lu, Guangming Xiong, Weijie Mei

Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017