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ORCIDChao Lu 0006
Person information
- affiliation: Beijing Institute of Technology, School of Mechanical Engineering, China
- affiliation (PhD 2015): University of Leeds, UK
Other persons with the same name
- Chao Lu — disambiguation page
- Chao Lu 0001
![[0000-0002-9469-6672]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-9469-6672")
— Hong Kong Polytechnic University, Department of Electronic and Information Engineering, Hong Kong (and 3 more) - Chao Lu 0002 — Towson University, Department of Computer and Information Sciences, MD, USA (and 1 more)
- Chao Lu 0003 — North China Electric Power University, School of Electrical and Electronic Engineering, Beijing, China
- Chao Lu 0004 — Beijing University of Technology, Faculty of Information Technology / Beijing Key Laboratory of Computational Intelligence and Intelligent System, China
- Chao Lu 0005 — Southern Illinois University Carbondale, Electrical and Computer Engineering Department, IL, USA (and 1 more)
- Chao Lu 0007 — Southeast University, National Mobile Communications Research Laboratory, Nanjing, China
- Chao Lu 0008 — China University of Geosciences, School of Computer Science, Wuhan, China
- Chao Lu 0009 — Tsinghua University, Department of Electrical Engineering, Beijing, China
- Chao Lu 0010 — Hohai University, Business School, Nanjing, China (and 1 more)
- Chao Lu 0011 — Yale University, Department of Electrical Engineering, School of Engineering and Applied Science, New Heaven, CT, USA (and 1 more)
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2020 – today
- 2024
[j22]Qingxiao Liu, Hui Yao, Chao Lu, Haiou Liu, Yangtian Yi, Huiyan Chen:
Object-Level Attention Prediction for Drivers in the Information-Rich Traffic Environment. IEEE Trans. Ind. Electron. 71(6): 6396-6406 (2024)- [j21]Yunlong Lin, Zirui Li, Cheng Gong, Chao Lu, Xinwei Wang, Jianwei Gong:
Continual Interactive Behavior Learning With Traffic Divergence Measurement: A Dynamic Gradient Scenario Memory Approach. IEEE Trans. Intell. Transp. Syst. 25(3): 2355-2372 (2024) - [j20]Hailong Gong, Zirui Li, Chao Lu, Guodong Du, Jianwei Gong:
Leveraging Multi-Stream Information Fusion for Trajectory Prediction in Low-Illumination Scenarios: A Multi-Channel Graph Convolutional Approach. IEEE Trans. Intell. Transp. Syst. 25(5): 3854-3869 (2024) - [j19]Zirui Li, Jianwei Gong, Zheyu Zhang, Chao Lu, Victor L. Knoop, Meng Wang:
Interactive Behavior Modeling for Vulnerable Road Users With Risk-Taking Styles in Urban Scenarios: A Heterogeneous Graph Learning Approach. IEEE Trans. Intell. Transp. Syst. 25(8): 8538-8555 (2024) - [j18]Zheyu Zhang, Chao Lu, Gege Cui, Xianghao Meng, Cheng Gong, Jianwei Gong:
Prediction of Pedestrian Spatial-Temporal Risk Levels for Intelligent Vehicles: A Data- Driven Approach. IEEE Trans. Veh. Technol. 73(6): 7708-7721 (2024) - [j17]Cheng Gong, Chao Lu, Zirui Li, Zhe Liu, Jianwei Gong, Xuemei Chen:
Beyond Imitation: A Life-Long Policy Learning Framework for Path Tracking Control of Autonomous Driving. IEEE Trans. Veh. Technol. 73(7): 9786-9799 (2024) - [i10]Cheng Gong, Chao Lu, Zirui Li, Zhe Liu, Jianwei Gong, Xuemei Chen:
Beyond Imitation: A Life-long Policy Learning Framework for Path Tracking Control of Autonomous Driving. CoRR abs/2404.17198 (2024) - 2023
- [j16]Yangtian Yi, Chao Lu, Boyang Wang, Long Cheng, Zirui Li, Jianwei Gong:
Fusion of Gaze and Scene Information for Driving Behaviour Recognition: A Graph-Neural-Network- Based Framework. IEEE Trans. Intell. Transp. Syst. 24(8): 8109-8120 (2023) - [j15]Jinghang Li, Chao Lu, Penghui Li, Zheyu Zhang, Cheng Gong, Jianwei Gong:
Driver-Specific Risk Recognition in Interactive Driving Scenarios Using Graph Representation. IEEE Trans. Veh. Technol. 72(4): 4453-4465 (2023) - [c16]Yunlong Lin, Zirui Li, Cheng Gong, Qi Liu, Chao Lu, Jianwei Gong:
Rethinking Trajectory Prediction in Real-World Applications: An Online Task-Free Continual Learning Perspective. ITSC 2023: 5020-5026 - [c15]Cheng Gong, Runqi Qiu, Yunlong Lin, Zirui Li, Jianwei Gong, Chao Lu:
A Learning-Based Controller for Trajectory Tracking of Autonomous Vehicles in Complex and Uncertain Scenarios. ITSC 2023: 5040-5046 - [c14]Hailong Gong, Zirui Li, Chao Lu, Jianwei Gong:
Towards Online Risk Assessment for Human-Robot Interaction: A Data-Driven Hamilton-Jacobi-Isaacs Reachability Approach. ITSC 2023: 6062-6067 - 2022
- [j14]Zirui Li, Jianwei Gong, Chao Lu, Jinghang Li:
Personalized Driver Braking Behavior Modeling in the Car-Following Scenario: An Importance-Weight-Based Transfer Learning Approach. IEEE Trans. Ind. Electron. 69(10): 10704-10714 (2022) - [j13]Jiaming Hu, Yuhui Hu, Chao Lu, Jianwei Gong, Huiyan Chen:
Integrated Path Planning for Unmanned Differential Steering Vehicles in Off-Road Environment With 3D Terrains and Obstacles. IEEE Trans. Intell. Transp. Syst. 23(6): 5562-5572 (2022) - [j12]Zirui Li, Chao Lu, Yangtian Yi, Jianwei Gong:
A Hierarchical Framework for Interactive Behaviour Prediction of Heterogeneous Traffic Participants Based on Graph Neural Network. IEEE Trans. Intell. Transp. Syst. 23(7): 9102-9114 (2022) - [j11]Chao Lu, Chen Lv, Jianwei Gong, Wenshuo Wang, Dongpu Cao, Fei-Yue Wang:
Instance-Level Knowledge Transfer for Data-Driven Driver Model Adaptation With Homogeneous Domains. IEEE Trans. Intell. Transp. Syst. 23(10): 17015-17026 (2022) - [c13]Xianqi He, Lin Yang, Chao Lu, Zirui Li, Jianwei Gong:
Adaptive Decision Making at the Intersection for Autonomous Vehicles Based on Skill Discovery. ITSC 2022: 2842-2847 - [c12]Zirui Li, Yunlong Lin, Cheng Gong, Xinwei Wang, Qi Liu, Jianwei Gong, Chao Lu:
An Ensemble Learning Framework for Vehicle Trajectory Prediction in Interactive Scenarios. IV 2022: 51-57 - [i9]Zirui Li, Yunlong Lin, Cheng Gong, Xinwei Wang, Qi Liu, Jianwei Gong, Chao Lu:
An Ensemble Learning Framework for Vehicle Trajectory Prediction in Interactive Scenarios. CoRR abs/2202.10617 (2022) - [i8]Xianqi He, Lin Yang, Chao Lu, Zirui Li, Jianwei Gong:
Adaptive Decision Making at the Intersection for Autonomous Vehicles Based on Skill Discovery. CoRR abs/2207.11724 (2022) - [i7]Hailong Gong, Zirui Li, Chao Lu, Guodong Du, Jianwei Gong:
Leveraging Multi-stream Information Fusion for Trajectory Prediction in Low-illumination Scenarios: A Multi-channel Graph Convolutional Approach. CoRR abs/2211.10226 (2022) - [i6]Yunlong Lin, Zirui Li, Cheng Gong, Chao Lu, Xinwei Wang, Jianwei Gong:
Continual Interactive Behavior Learning With Traffic Divergence Measurement: A Dynamic Gradient Scenario Memory Approach. CoRR abs/2212.11167 (2022) - 2021
- [j10]Lei Yang, Chunqing Zhao, Chao Lu, Lianzhen Wei, Jianwei Gong:
Lateral and Longitudinal Driving Behavior Prediction Based on Improved Deep Belief Network. Sensors 21(24): 8498 (2021) - [i5]Cheng Gong, Jianwei Gong, Chao Lu, Zhe Liu, Zirui Li:
Life-Long Multi-Task Learning of Adaptive Path Tracking Policy for Autonomous Vehicle. CoRR abs/2109.07210 (2021) - [i4]Zheyu Zhang, Boyang Wang, Chao Lu, Jinghang Li, Cheng Gong, Jianwei Gong:
Prediction of Pedestrian Spatiotemporal Risk Levels for Intelligent Vehicles: A Data-driven Approach. CoRR abs/2111.03822 (2021) - [i3]Jinghang Li, Chao Lu, Penghui Li, Zheyu Zhang, Cheng Gong, Jianwei Gong:
Driver-Specific Risk Recognition in Interactive Driving Scenarios using Graph Representation. CoRR abs/2111.06342 (2021) - 2020
- [j9]Yimin Chen, Chao Lu, Wenbo Chu:
A Cooperative Driving Strategy Based on Velocity Prediction for Connected Vehicles With Robust Path-Following Control. IEEE Internet Things J. 7(5): 3822-3832 (2020) - [j8]Chao Lu, Fengqing Hu, Dongpu Cao, Jianwei Gong, Yang Xing, Zirui Li:
Transfer Learning for Driver Model Adaptation in Lane-Changing Scenarios Using Manifold Alignment. IEEE Trans. Intell. Transp. Syst. 21(8): 3281-3293 (2020) - [j7]Qingxiao Liu, Shaohang Xu, Chao Lu, Hui Yao, Huiyan Chen:
Early Recognition of Driving Intention for Lane Change Based on Recurrent Hidden Semi-Markov Model. IEEE Trans. Veh. Technol. 69(10): 10545-10557 (2020) - [j6]Zirui Li, Jianwei Gong, Chao Lu, Junqiang Xi:
Importance Weighted Gaussian Process Regression for Transferable Driver Behaviour Learning in the Lane Change Scenario. IEEE Trans. Veh. Technol. 69(11): 12497-12509 (2020) - [c11]Yang Yu, Chao Lu, Lei Yang, Zirui Li, Fengqing Hu, Jianwei Gong:
Hierarchical Reinforcement Learning Combined with Motion Primitives for Automated Overtaking. IV 2020: 1-6 - [c10]Zheyu Zhang, Chao Lu, Jinghang Li, Youzhi Xu, Junyan Lu, Zirui Li:
Prediction of Pedestrian Risky Level for Intelligent Vehicles. IV 2020: 169-174 - [i2]Zirui Li, Chao Lu, Cheng Gong, Jianwei Gong, Jinghang Li, Lianzhen Wei:
Driver Behavior Modelling at the Urban Intersection via Canonical Correlation Analysis. CoRR abs/2007.05751 (2020)
2010 – 2019
- 2019
- [j5]Chao Lu, Jianwei Gong, Chen Lv, Xin Chen, Dongpu Cao, Yimin Chen:
A Personalized Behavior Learning System for Human-Like Longitudinal Speed Control of Autonomous Vehicles. Sensors 19(17): 3672 (2019) - [j4]Sen Yang, Wenshuo Wang, Chao Lu, Jianwei Gong, Junqiang Xi:
A Time-Efficient Approach for Decision-Making Style Recognition in Lane-Changing Behavior. IEEE Trans. Hum. Mach. Syst. 49(6): 579-588 (2019) - [j3]Chao Lu, Fengqing Hu, Dongpu Cao, Jianwei Gong, Yang Xing, Zirui Li:
Virtual-to-Real Knowledge Transfer for Driving Behavior Recognition: Framework and a Case Study. IEEE Trans. Veh. Technol. 68(7): 6391-6402 (2019) - [c9]Minghao Ning, Chao Lu, Jianwei Gong:
An Efficient Model for Driving Focus of Attention Prediction using Deep Learning. ITSC 2019: 1192-1197 - [c8]Jinghang Li, Chao Lu, Youzhi Xu, Zhao Zhang, Jianwei Gong, Huijun Di:
Manifold Learning for Lane-changing Behavior Recognition in Urban Traffic. ITSC 2019: 3663-3668 - [c7]Zirui Li, Chao Lu, Jianwei Gong, Fengqing Hu:
A Comparative Study on Transferable Driver Behavior Learning Methods in the Lane-Changing Scenario. ITSC 2019: 3999-4005 - [c6]Zirui Li, Cheng Gong, Chao Lu, Jianwei Gong, Junyan Lu, Youzhi Xu, Fengqing Hu:
Transferable Driver Behavior Learning via Distribution Adaption in the Lane Change Scenario. IV 2019: 193-200 - 2018
- [j2]Chen Lv, Yang Xing, Chao Lu, Yahui Liu, Hongyan Guo, Hongbo Gao, Dongpu Cao:
Hybrid-Learning-Based Classification and Quantitative Inference of Driver Braking Intensity of an Electrified Vehicle. IEEE Trans. Veh. Technol. 67(7): 5718-5729 (2018) - [j1]Chao Lu, Huaji Wang, Chen Lv, Jianwei Gong, Junqiang Xi, Dongpu Cao:
Learning Driver-Specific Behavior for Overtaking: A Combined Learning Framework. IEEE Trans. Veh. Technol. 67(8): 6788-6802 (2018) - [c5]Chao Lu, Fengqing Hu, Wenshuo Wang, Jianwei Gong, Zeliang Ding:
Transfer Learning for Driver Model Adaptation via Modified Local Procrustes Analysis. Intelligent Vehicles Symposium 2018: 73-78 - [c4]Zirui Li, Boyang Wang, Jianwei Gong, Tianyun Gao, Chao Lu, Gang Wang:
Development and Evaluation of Two Learning-Based Personalized Driver Models for Pure Pursuit Path-Tracking Behaviors. Intelligent Vehicles Symposium 2018: 79-84 - [c3]Boyang Wang, Zirui Li, Jianwei Gong, Yidi Liu, Huiyan Chen, Chao Lu:
Learning and Generalizing Motion Primitives From Driving Data for Path-Tracking Applications. Intelligent Vehicles Symposium 2018: 1191-1196 - [i1]Boyang Wang, Zirui Li, Jianwei Gong, Yidi Liu, Huiyan Chen, Chao Lu:
Learning and Generalizing Motion Primitives from Driving Data for Path-Tracking Applications. CoRR abs/1806.00711 (2018) - 2017
- [c2]Chunqing Zhao, Jianwei Gong, Chao Lu, Guangming Xiong, Weijie Mei:
Speed and steering angle prediction for intelligent vehicles based on deep belief network. ITSC 2017: 301-306 - [c1]Xin Chen, Yong Zhai, Chao Lu, Jianwei Gong, Gang Wang:
A learning model for personalized adaptive cruise control. Intelligent Vehicles Symposium 2017: 379-384
Coauthor Index
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last updated on 2024-09-09 01:18 CEST by the dblp team
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