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PUBLICATIONS & PATENTS

Patents

12 Granted Patents, and 5 International Patent Applications.

Book

1. Y. Xing, C. Lv, D. Cao. “Advanced Driver Intention Inference”, Elsevier, 2020.

2. C. Lv, Y. Xing, J. Zhang, D. Cao. "Cyber-Physical Vehicle Systems: Methodology and Applications",  Morgan & Claypool Publishers, 2020.

3. P. Hang, C. Lv, X. Chen. “Human-Like Decision Making and Control for Autonomous Driving”, CRC Press, 2022.

4. Z. Hu, C. Lv. “Vision-Based Human Activity Recognition”. Springer Nature, 2022.

Book Chapters

1. C. Lv, D Cao. “Brake Blending Control of Electric Vehicles” as a Chapter in the book “Modelling, Dynamics and Control of Electrified Vehicles”, Edited by Hui Zhang, Dongpu Cao, Haiping Du, Elsevier, 2018.

2. H Wang, Y Huang, H He, C. Lv, W Liu, A Khajepour. “Energy Management of Hybrid Electric Vehicles” as a Chapter in the book “Modelling, Dynamics and Control of Electrified Vehicles”, Elsevier, 2018.

Newsletter Article
Journal Articles

For complete publication list, please refer to Google scholar or Researchgate

(Underline: supervisee) 

J146. X. He, J. Wu, Z. HuangZ. Hu, J. Wang, A. Sangiovanni-Vincentelli, C. Lv, Fear-Neuro-Inspired Reinforcement Learning for Safe Autonomous Driving, IEEE Transactions on Pattern Analysis and Machine Intelligence, in press, 2023.

J145. J. Wu, Y. Zhou, H. YangZ. Huang, C. Lv, Human-Guided Reinforcement Learning With Sim-to-Real Transfer for Autonomous Navigation, IEEE Transactions on Pattern Analysis and Machine Intelligence, in press, 2023.

J144. H. Yang, L. Liu, Z. Hu, A.T. Nguyen, T. M. Guerra, C. Lv, Quantitative Identification of Driver Distraction: A Weakly Supervised Contrastive Learning Approach, IEEE Transactions on Intelligent Transportation Systems, in press, 2023.

J143. W. Huang, Y. Zhou, X. He, C. Lv, Goal-Guided Transformer-Enabled Reinforcement Learning for Efficient Autonomous Navigation, IEEE Transactions on Intelligent Transportation Systems, in press, 2023.

J142. L. Yang, H. Yang, B. HuY. WangC. Lv, A Robust Driver Emotion Recognition Method Based on High-Purity Feature Separation, IEEE Transactions on Intelligent Transportation Systems, in press, 2023.

J141. Z. Huang, H. Liu, J. Wu, C. Lv, Differentiable Integrated Motion Prediction and Planning with Learnable Cost Function for Autonomous Driving, IEEE Transactions on Neural Networks and Learning Systems, in press, 2023.

J140. P. Hang, Y. Zhang, C. Lv, Brain-Inspired Modeling and Decision-Making for Human-Like Autonomous Driving in Mixed Traffic Environment, IEEE Transactions on Intelligent Transportation Systems, in press, 2023.

J139. Z. Wang, C. Lv, F.Y. Wang. A New Era of Intelligent Vehicles and Intelligent Transportation Systems: Digital Twins and Parallel Intelligence. IEEE Transactions on Intelligent Vehicles, in press, 2023.

J138. Z. Huang, H. Liu, J. Wu, C. Lv, Conditional Predictive Behavior Planning with Inverse Reinforcement Learning for Human-Like Autonomous Driving, IEEE Transactions on Intelligent Transportation Systems, in press, 2023.

J137. X. Mo, Y. Xing, H. Liu, C. Lv, Map-Adaptive Multimodal Trajectory Prediction Using Hierarchical Graph Neural Networks, IEEE Robotics and Automation Letters, 8(6): 3685-3692, 2023.

J136. X. Mo and C. Lv, Predictive Neural Motion Planner for Autonomous Driving Using Graph Networks, IEEE Transactions on Intelligent Vehicles, vol. 8, no. 2, pp. 1983-1993, 2023.

J135. X. He and C. Lv, Robotic Control in Adversarial and Sparse Reward Environments: A Robust Goal-Conditioned Reinforcement Learning Approach, IEEE Transactions on Artificial Intelligence, in press, 2023.

J134. X. He, C. Lv, Towards Energy-Efficient Autonomous Driving: A Multi-Objective Reinforcement Learning Approach, IEEE/CAA Journal of Automatica Sinica, 10(5): 1329-1331, 2023.

J133. T. Yang, C. Murguia, D. Nešić, C. Lv, A Robust CACC Scheme Against Cyberattacks Via Multiple Vehicle-to-Vehicle Networks, IEEE Transactions on Vehicular Technology, in press, 2023.

J132. H. Chen and C. Lv, Online Learning-Informed Feedforward-Feedback Controller Synthesis for Path Tracking of Autonomous Vehicles," IEEE Transactions on Intelligent Vehicles, in press, 2023.

J131. P. Hang, C. Huang, Z. Hu, C. Lv, Decision Making for Connected Automated Vehicles at Urban Intersections Considering Social and Individual Benefits, IEEE Transactions on Intelligent Transportation Systems, in press, 2022.

J130. Z. Hu, Y. Zhang, Q. Li, C. Lv, A Novel Heterogeneous Network for Modeling Driver Attention With Multi-Level Visual Content, IEEE Transactions on Intelligent Transportation Systems, in press, 2022.

J129. C. Xu, W. Zhao, C. Wang, T. Cui, C. Lv, Driving Behavior Modeling and Characteristic Learning for Human-like Decision-Making in Highway, IEEE Transactions on Intelligent Vehicles, vol. 8, no. 2, pp. 1994-2005, 2023.

J128. H. Chen, S. Lou, C. Lv, Hybrid physics-data-driven online modelling: Framework, methodology and application to electric vehicles, Mechanical Systems and Signal Processing, in press, 2022.

J127. Z. Hu, S. Lou, Y. Xing, X. Wang, D. Cao and C. Lv, Review and Perspectives on Driver Digital Twin and Its Enabling Technologies for Intelligent Vehicles, IEEE Transactions on Intelligent Vehicles, in press, 2022.

J126. H. Chen, C. Lv, RHONN-Modeling-Based Predictive Safety Assessment and Torque Vectoring for Holistic Stabilization of Electrified Vehicles, IEEE/ASME Transactions on Mechatronics, in press, 2022.

J125. J. Wu, Z. Huang, W. Huang, C. Lv, "Prioritized Experience-Based Reinforcement Learning with Human Guidance for Autonomous Driving," IEEE Transactions on Neural Networks and Learning Systems, 2022, in press.

J124. J. Wu, Z. Huang, C. Lv, Uncertainty-Aware Model-Based Reinforcement Learning: Methodology and Application in Autonomous Driving," IEEE Transactions on Intelligent Vehicles, 2022, in press.

J123. J. Wu, Z. Huang, Z. Hu, C. Lv. Towards Human-in-the-loop AI: Enhancing Deep Reinforcement Learning via Real-time Human Guidance for End-to-end Autonomous Driving, Engineering, 2022, in press.

J122. Hang P, Lou B, C. Lv. Nonlinear Predictive Motion Control for Autonomous Mobile Robots Considering Active Fault-Tolerant Control and Regenerative Braking. Sensors. 22(10): 3939, 2022.

J121. H. Chen, J. Zhang and C. Lv, RHONN Modelling-enabled Nonlinear Predictive Control for Lateral Dynamics Stabilization of An In-wheel Motor Driven Vehicle, IEEE Transactions on Vehicular Technology, 2022, in press.

J120. P. Hang, C. Huang, Z. Hu, C. Lv, Driving Conflict Resolution of Autonomous Vehicles at Unsignalized Intersections: A Differential Game Approach, IEEE/ASME Transactions on Mechatronics, 2022, in press.

J119. Pang, B., Low, K. H., C. Lv. Adaptive conflict resolution for multi-UAV 4D routes optimization using stochastic fractal search algorithm. Transportation Research Part C: Emerging Technologies, 139, 103666, 2022.

J118. Hang, P., Zhang, Y., de Boer, N, C. Lv, Conflict Resolution for Connected Automated Vehicles at Unsignalized Roundabouts Considering Personalized Driving Behaviours. Green Energy and Intelligent Transportation, 100003, 2022.

J117. X. He, H. Yang, Z. Hu, C. Lv. Robust Lane Change Decision Making for Autonomous Vehicles: An Observation Adversarial Reinforcement Learning Approach, IEEE Transactions on Intelligent Vehicles, 2022, in press.

J116. C. Lu, C. Lv, J. Gong, W. Wang, D. Cao, FY. Wang. Instance-Level Knowledge Transfer for Data-Driven Driver Model Adaptation With Homogeneous Domains, IEEE Transactions on Intelligent Transportation Systems, in press,2022.

J115. Cao, D., Wang, X., Li, L., C. Lv, Na, X., Xing, Y., Li, X., Li, Y., Chen, Y. and Wang, F.Y. Future directions of intelligent vehicles: Potentials, possibilities, and perspectives. IEEE Transactions on Intelligent Vehicles, 7(1), 7-10, 2022

J114. Huang, C., Du, H., Zhao, W., Zhao, Y., Yan, F., C. Lv. Advanced Sensing and Control for Connected and Automated Vehicles. Sensors, 22(4), 1538, 2022.

J113. Z. Hu, Y. Zhang, Q. Li, C. Lv, Human–machine telecollaboration accelerates the safe deployment of large-scale autonomous robots during the Covid-19 pandemic, Frontiers in Robotics and AI, 104, 2022.

J112. Z. Hu, Y. Xing, W. Gu, D. Cao, C. Lv, Driver Anomaly Quantification for Intelligent Vehicles: A Contrastive Learning Approach with Representation Clustering, IEEE Transactions on Intelligent Vehicles, 2022, in press.  

J111. X. Mo, Z. Huang, Y. Xing, C. Lv, Multi-Agent Trajectory Prediction with Heterogeneous Edge-Enhanced Graph Attention Network.IEEE Transactions on Intelligent Transportation Systems, 2022, in press.

J110. C. Xu, W. Zhao, J. Liu, C. Wang, C. Lv. An Integrated Decision-Making Framework for Highway Autonomous Driving Using Combined Learning and Rule-based Algorithm. IEEE Transactions on Vehicular Technology, 2022, in press.

J109. Z. Huang, J. Wu, C. Lv. Efficient Deep Reinforcement Learning with Imitative Expert Priors for Autonomous Driving. IEEE Transactions on Neural Networks and Learning Systems, 2022, in press.

J108. Yang, L., Babayi Semiromi, M., Xing, Y., C. Lv, Brighton, J. and Zhao, Y. The Identification of Non-Driving Activities with Associated Implication on the Take-Over Process. Sensors, 22(1), 42, 2022.

J107. Z. Hu, Y. Zhang, Y. Xing, Y. Zhao, D. Cao, C. Lv. Towards Human-Centered Automated Driving: A Novel Spatial-Temporal Vision Transformer-Enabled Head Tracker, IEEE Vehicular Technology Magazine, 2022, in press.

J106. Y. Zhang, P. Hang, C. Huang, C. Lv, Human-like Interactive Behavior Generation for Autonomous Vehicles: A Bayesian Game-theoretic Approach with Turing Test, Advanced Intelligent Systems, 2022, in press.

J105. Gao, H., C. Lv, Zhang, T., Zhao, H., Jiang, L., Zhou, J., Liu, Y., Huang, Y. and Han. A Structure Constraint Matrix Factorization Framework for Human Behavior Segmentation. IEEE Transactions on Cybernetics, 2021, in press

J104. Wang, Y., C. Lv, Yan, Y., Peng, P., Wang, F., Xu, L. and Yin, G. An Integrated Scheme for Coefficient Estimation of Tire Road Friction with mass parameter mismatch under Complex driving scenarios. IEEE Transactions on Industrial Electronics, 2021, in press.

J103. Han, J., Zhang, J., He, C., C. Lv, Li, C., Hou, X. and Ji, Y. Adaptive distributed finite‐time fault‐tolerant controller for cooperative braking of the vehicle platoon. IET Intelligent Transport Systems, 2021, in press.

J102. C. Huang, H. Hang, J. Zhang, P. Hang, Z. Hu, C. Lv. Human-Machine Cooperative Trajectory Planning and Tracking for Safe Automated Driving, IEEE Transactions on Intelligent Transportation Systems, 2021, in press.

J101. C. Huang, P. Hang, Z. Hu, C. Lv. Collision-Probability-Aware Human-Machine Cooperative Planning for Safe Automated Driving IEEE Transactions on Vehicular Technology, 2021, in press.

J100. D. Zhang, C. Lv, T. Yang, P. Hang. Cyber-Attack Detection for Autonomous Driving Using Vehicle Dynamic State Estimation. Automotive Innovation, 4(3), pp.262-273, 2021.

J99. T. Yang, C. Lv. A Secure Sensor Fusion Framework for Connected and Automated Vehicles under Sensor Attacks, IEEE Internet of Things Journal, 2021, in press.

J98. L. Yang, X. Shan, C. Lv, J. Brighton, Y. Zhao, Learning spatio-temporal representations with a dual-stream 3D residual network for non-driving activity recognition, IEEE Transactions on Industrial Electronics, 2021, in press.

J97. T. Yang, C. Lv. Secure Estimation and Attack Isolation for Connected and Automated Driving in the Presence of Malicious Vehicles, IEEE Transactions on Vehicular Technology, 2021, in press.

J96. A. Jolfaei, V. G. Menon, C. Lv, A. K. Bashir, Y. K. Tan and K. Kant, Guest Editorial Advanced Sensing and Sensor Fusion for Intelligent Transportation Systems, IEEE Sensors Journal, 21(14), pp. 15425-15426, 2021

J95. Y. Xing, C. Lv, D. Cao, E. Velenis, Multi-scale driver behavior modeling based on deep spatial-temporal representation for intelligent vehicles. Transportation Research Part C: Emerging Technologies, 130, p.103288, 2021.

J94. A.T. Nguyen, J.J. Rath, C. Lv, T.M. Guerra, and J. Lauber. Human-Machine Shared Driving Control for Semi-Autonomous Vehicles Using Level of Cooperativeness. Sensors, 21(14), p.4647, 2021.

J93. Z. Huang, J. Wu, C. Lv. Driving Behavior Modeling using Naturalistic Human Driving Data with Inverse Reinforcement Learning, IEEE Transactions on Intelligent Transportation Systems, 2021, in press.

J92. Y. Xing, C. Lv, D. Cao, P. Hang. Toward human-vehicle collaboration: Review and perspectives on human-centered collaborative automated driving. Transportation Research Part C: Emerging Technologies 128 (2021): 103199.

J91. T. Yang, C. Murguia, C. Lv, D. Nešić, C. Huang. On Joint Reconstruction of State and Input-Output Injection Attacks for Nonlinear Systems. IEEE Control Systems Letters, 2021, in press.

J90. V. Ivanov, C. Lv, L. Boulon, X. Hu, A. Ongel, Guest Editorial Focused Section on Mechatronics in Road Mobility Systems, IEEE/ASME Transactions on Mechatronics, 2021, in press.

J89. H. Wang, B. Lu, J. Li, Y. Xing, C. Lv, D. Cao, J. Li, J. Zhang, E. Hashemi, Risk Assessment and Mitigation in Local Path Planning for Autonomous Vehicles with LSTM based Predictive Model, IEEE Transactions on Automation Science and Engineering, 2021, in press.

J88. Y. Wang, Q. Liu, E. Mihankhah, C. Lv, D. Wang. Detection and Isolation of Sensor Attacks for Autonomous Vehicles: Framework, Algorithms and Validation, IEEE Transactions on Intelligent Transportation Systems, 2021, in press.

J87. C. Huang, H. Huang, P. Hang, H. Gao, J. Wu, Z. Huang, C. Lv. Personalized Trajectory Planning and Control of Lane-Change Maneuvers for Autonomous Driving, IEEE Transactions on Vehicular Technology, 2021, in press.

J86. P. Hang, C. Huang, Z. Hu, Y. Xing, C. Lv. Decision Making of Connected Automated Vehicles at An Unsignalized Roundabout Considering Personalized Driving Behaviours, IEEE Transactions on Vehicular Technology, 2021, in press.

J85. P. Hang, C. Lv, C. Huang, Y. Xing, Z. Hu. Cooperative Decision Making of Connected Automated Vehicles at Multi-lane Merging Zone: A Coalitional Game Approach. IEEE Transactions on Intelligent Transportation Systems, 2021, in press.

J84. C. Huang, C. Lv, P. Hang, Z. HuY. Xing. Human-Machine Adaptive Shared Control for Safe Automated Driving under Automation Degradation. IEEE Intelligent Transportation Systems Magazine, 2021, in press.

J83. Y. Xing, C. Lv, Y. Liu, Y. Zhao, D. Cao, S. Kawahara. Hybrid-Learning-Based Driver Steering Intention Prediction using Neuromuscular Dynamics. IEEE Transactions on Industrial Electronics, 2021, in press.

J82. Z. Hu, C. Lv, P. Hang, C. Huang, Y. Xing. Data-driven Estimation of Driver Attention using Calibration-free Eye Gaze and Scene Features. IEEE Transactions on Industrial Electronics, 2021, in press. (ESI Highly Cited Paper)

J81. C. Huang, C. Lv, P. Hang, Y. Xing. Towards Safe and Personalized Autonomous Driving: Decision-Making and Motion Control with DPF and CDT Techniques. IEEE/ASME Transactions on Mechatronics, 2021, in press.

J80. Y. Xing, C. Lv, X. Mo, Z. Hu, C.Huang, P. Hang. Toward Safe and Smart Mobility: Energy-Aware Deep Learning for Driving Behavior Analysis and Prediction of Connected Vehicles. IEEE Transactions on Intelligent Transportation Systems, 2021, in press.

J79. Z. Hu, Y. Xing, C. Lv, P. Hang, J. Liu. Deep Convolutional Neural Network-based Bernoulli Heatmap for Head Pose Estimation. Neurocomputing, 2021, in press.

J78. C. Lv, Y. Li, Y. Xing, C. Huang, D. Cao, Y. Zhao, Y. Liu. Human–Machine Collaboration for Automated Driving Using an Intelligent Two-Phase Haptic Interface. Advanced Intelligent Systems, 2021, in press.

J77. C. Zhang, Y. Zhang, Z. Huang, C. Lv, et al, Real-time optimization of energy management strategy for fuel cell vehicles using Inflated 3D Inception long short-term memory network-based speed prediction. IEEE Transactions on Vehicular Technology, 2021, in press.

J76. P. Hang, C. Lv, C. Huang, J. Cai, Z. Hu, Y. Xing. An Integrated Framework of Decision Making and Motion Planning for Autonomous Vehicles Considering Social Behaviors. IEEE Transactions on Vehicular Technology, 2020, in press.

J75. Y. Zhang, Z. Huang, C. Zhang, C. Lv, et al, Improved short-term speed prediction using spatiotemporal-vision-based deep neural network for intelligent fuel cell vehicles, IEEE Transactions on Industrial Informatics, 2020, in press.

J74. P. Hang, C. Lv, Y. Xing, C. Huang, Z. Hu. Human-Like Decision Making for Autonomous Driving: A Noncooperative Game Theoretic Approach, IEEE Transactions on Intelligent Transportation Systems, 2020, in press. (ESI Highly Cited Paper)

J73. Y. Xing, C. Lv, Y. Zhao, Y. Liu, D. Cao, S. Kawahara. Pattern Recognition and Characterization of Upper Limb Neuromuscular Dynamics During Driver-Vehicle Interactions, iScience, 23(9): 101541, 2020.

J72. M. Al-Sharman, D.Murdoch, D. Cao, C. Lv, Y. Zweiri, D. Rayside, W. Melek. "A Sensorless State Estimation for A Safety-Oriented Cyber-Physical System in Urban Driving: Deep Learning Approach." IEEE/CAA Journal of Automatica Sinica, 8(1), 169-178, 2020.

J71. Z. Huang, C. Lv, Y. Xing, J. Wu. Multi-modal Sensor Fusion-Based Deep Neural Network for End-to-end Autonomous Driving with Scene Understanding, IEEE Sensors Journal, 2020, in press.

J70. C. Huang, C. Lv, F. Naghdy, H. Du, A Reference-Free Approach for Mitigating Human-Machine Conflicts in Shared Control of Automated Vehicles, IET Control Theory and Applications, 2020, 14(18), 2752- 2763, 2020.

J69. H. Wang, Y. Huang, A. Khajepour, D. Cao, C. Lv, Ethical Decision-Making Platform in Autonomous Vehicles with Lexicographic Optimization based Model Predictive Controller, IEEE Transactions on Vehicular Technology, 69(8), 8164-8175, 2020.

J68. Y. Wu, K.H. Low, C. Lv. Cooperative Path Planning for Heterogeneous Unmanned Vehicles in a Search-and-Track Mission Aiming at an Underwater Target, IEEE Transactions on Vehicular Technology, 69(6), 6782-6787 2020.

J67. F. Yan, K. Wang, B. Zou, L. Tang, W. Li, C. Lv, LiDAR-based Multi-Task Road Perception Network for Autonomous Vehicles, IEEE Access, 8, 86753-86764, 2020.

J66. Y. Xing, C. Lv, et al. An Ensemble Deep Learning Approach for Driver Lane Change Intention Inference, Transportation Research Part C, 115: 102615, 2020.

J65. L Tang , F Yan, B Zou, K Wang, C. Lv, An Improved Kinematic Model Predictive Control for High Speed Path Tracking of Autonomous Vehicles, IEEE Access, 8: 51400-51413, 2020.

J64. J Hu, D Liu, C Du, F Yan, C. Lv, Intelligent Energy Management Strategy of Hybrid Energy Storage System for Electric Vehicle Based on Driving Pattern Recognition, Energy, 198, 2020.

J63. Y. Xing, C. Lv, D. Cao, C. Lu. Energy Oriented Driving Behavior Analysis and Personalized Prediction of Vehicle States with Joint Time Series Modeling, Applied Energy, 261, 2020.

J62. Y. Xing, C. Lv, D. Cao. Personalized Vehicle Trajectory Prediction Based on Joint Time Series Modeling for Connected Vehicles, IEEE Transactions on Vehicular Technology, 69(2), 1341-1352, 2020.

J61. Y. Xing, C. Lv. Dynamic State Estimation for the Advanced Brake System of Electric Vehicles by using Deep Recurrent Neural Networks, IEEE Transactions on Industrial Electronics, 2019.

J60. G. Li, Y. Chen, C. Lv, D. Tao, D. Cao, B. Cheng. Key techniques of semantic analysis of driving behavior in decision making of autonomous vehicles. Journal of Automotive Safety and Energy, 10(4): 391-412, 2019. (In Chinese)

J59. Wang K, Yan F, Zou B, Tang L, Yuan Q, Lv C. Occlusion-Free Road Segmentation Leveraging Semantics for Autonomous Vehicles. Sensors. 19(21), 4711, 2019.

J58. C. Lu, J. Gong, C. Lv, et al., A Personalized Behavior Learning System for Human-Like Longitudinal Speed Control of Autonomous Vehicles, Sensors, 19(17), 3672, 2019.

J57. B. Liu, Z. Ding, C. Lv, Distributed training for multi-layer neural networks by consensus, IEEE Transactions on Neural Networks and Learning Systems, 31(5), 1771-1778, 2020.

J56. Z. Huang, C. Zhang, T. Zeng, C. Lv, S.H. Chan. Modeling and energy management of a photovoltaic-fuel cell-battery hybrid electric vehicle, Energy Storage, 1(3), e61, 2019.

J55. B. Zhao, C. Lv, T. Hofman. Driving-cycle-aware energy management of hybrid electric vehicles using a three-dimensional markov chain model. Automotive Innovation, 2(2), 146-156, 2019. (Automotive Innovation Best Paper Award)

J54. Y. Xing, C. Lv, et al. Driver Activity Recognition for Intelligent Vehicles: A Deep Learning Approach, IEEE Trans. on Vehicular Technology, 68(6), 5379 - 5390, 2019. (ESI Highly Cited Paper)

J53. Y Xing, C. Lv, et al. Driver Lane Change Intention Inference for Intelligent Vehicles: Framework, Survey, and Challenges, IEEE Trans. on Vehicular Technology, 68(5), 4377-4390, 2019.

J52. Ji, X., Yang, K., Na, X., C. Lv, et al. Feedback Game-based Shared Control Scheme Design for Emergency Collision Avoidance: A Fuzzy-LQR Approach. Journal of Dynamic Systems, Measurement, and Control, 141 (8), 081005, 2019.

J51. He, X., Liu, Y., C. Lv, et al. Emergency steering control of autonomous vehicle for collision avoidance and stabilisation. Vehicle System Dynamics, 57(8), 1163-1187, 2019.

J50. Hu, X., Li, Y., C. Lv, Liu, Y. Optimal energy management and sizing of a dual motor-driven electric powertrain. IEEE Trans. on Power Electronics, 34(8), 7489-7501, 2019.

J49. C. Lv, X. Hu, A. Sangiovanni-Vincentelli, et al. Driving-style-based co-design optimization of an automated electric vehicle: a cyber-physical system approach. IEEE Trans. on Industrial Electronics, 66(4), 2965-2975, 2019. (ESI Highly Cited Paper)

J48. Ji, X., Yang, K., Na, X., C. Lv, Liu, Y. Shared steering torque control for lane change assistance: a stochastic game-theoretic approach. IEEE Trans. on Industrial Electronics, 66(4), 3093-3105, 2019.

J47. Y Li, C. Lv, et al. High-precision modulation of a novel brake-by-wire system: control synthesis and experimental validation, IEEE/ASME Trans. on Mechatronics, 23(6), 2599 - 2608, 2018.

J46. C. Lv, D Cao, et al. Simultaneous observation of hybrid states for cyber-physical systems: a case study of electric vehicle powertrain. IEEE Trans. on Cybernetics, 48(8): 2357-2367, 2018. (ESI Hot Paper, Highly Cited Paper)

J45. C. Lv, D Cao, et al. Characterization of driver neuromuscular dynamics for human-automation collaboration design of automated vehicles, IEEE/ASME Trans. on Mechatronics, 23(6), 2558-2567, 2018.

J44. Li, W., C. Lv, Gopalswamy, S., Li, L., Khajepour, A. Guest Editorial Focused Section on Mechatronics in Cyber-Physical Systems. IEEE/ASME Trans. on Mechatronics, 23(6), 2533-2536, 2018.

J43. C. Lv, Y Xing, D Cao, et al. Hybrid-learning-based classification and quantitative inference of driver braking intensity of an electrified vehicle. IEEE Trans. on Vehicular Technology, 67(7): 5718-5729, 2018.

J42. C. Lv, Y. Xing, et al. Levenberg-marquardt backpropagation training of multilayer neural networks for state estimation of a safety critical cyber-physical system, IEEE Trans. on Industrial Informatics, 14(8): 3436-3446, 2018. (ESI Hot Paper, Highly Cited Paper)

J41. C. Lv, D Cao, et al. Analysis of Autopilot Disengagements Occurring During Autonomous Vehicle Testing. IEEE/CAA Journal of Automatica Sinica, 5(1): 58-68, 2018.

J40. L Li, C. Lv, et al, Retrieving common discretionary lane changing characteristics from trajectories, IEEE Trans. on Vehicular Technology, 67(3): 2014-2024, 2018.

J39. Y Liu, X Fan, C. Lv, et al. An innovative information fusion method with adaptive Kalman filter for integrated INS/GPS navigation of autonomous vehicles. Mechanical Systems and Signal Processing 100: 605-616, 2018. (ESI Highly Cited Paper)

J38. Hu X, Baronti F, Ma C, C. Lv. Guest Editorial Special Section on Cyber-Physical Systems in Green Transportation. IEEE Transactions on Industrial Informatics. 14(9):4124-7, 2018.

J37. Y Xing, C. Lv, et al. Driver workload estimation using a novel hybrid method of error reduction ratio causality and support vector machine, Measurement, 114: 390-397, 2018.

J36. Y Xing, C. Lv, et al. Identification and analysis of driver postures for in-vehicle driving activities and secondary tasks recognition, IEEE Trans. on Computational Social Systems, 5(1): 95-108, 2018.

J35. B Ma, C. Lv, et al, Estimation of road adhesion coefficient based on tire aligning torque distribution. ASME Journal of Dynamic Systems, Measurement, and Control, 140(5): 051010, 2018.

J34. Guo H, Song L, Liu J, Wang FY, Cao D, Chen H, C. Lv, Luk PC. Hazard-evaluation-oriented moving horizon parallel steering control for driver-automation collaboration during automated driving. IEEE/CAA Journal of Automatica Sinica. 5(6):1062-73, 2018.

J33. Y Xing, C. Lv, et al. Dynamic integration and online evaluation of vision-based lane detection algorithms, IEEE Trans. on Vehicular Technology, IET Intelligent Transport Systems, 13(1), 55-62, 2018.

J32. Guo H, Yin Z, Cao D, Chen H, C. Lv. A Review of Estimation for Vehicle Tire-Road Interactions Toward Automated Driving. IEEE Transactions on Systems, Man, and Cybernetics: Systems. 2018, in press.

J31. X. Ji, X. Na, C. Lv, et al. Interactive control paradigm based robust lateral stability controller design for autonomous automobile path tracking with uncertain disturbance: a dynamic game approach, IEEE Trans. on Vehicular Technology, 67(8), 6906-6920, 2018.

J30. C. Lu, H. Wang, C. Lv, et al. Learning driver-specific behaviour for overtaking: a combined learning framework, IEEE Trans. on Vehicular Technology, 67(8), 6788- 6802, 2018.

J29. Y. Liu, Q. Liu, M. Zheng, C. Lv, X. Ji. A study on objective evaluation of vehicle steering comfort based on driver’s electromyogram and movement trajectory. IEEE Trans. on Human-Machine Systems, 48(1): 41-49, 2018.

J28. Ji X, He X, C. Lv, Liu Y, Wu J. Adaptive-neural-network-based robust lateral motion control for autonomous vehicle at driving limits. Control Engineering Practice. 76: 41-53, 2018.

J27. H Guo, H Chen, D Cao, C. Lv. Vehicle Dynamic States Estimation: State of the Art and Perspectives, IEEE/CAA Journal of Automatica Sinica, 5(2), 418-431, 2018.

J26. X. Ji, X. He, C. Lv, et al. A vehicle stability control strategy with adaptive neural network sliding mode theory based on system uncertainty approximation. Vehicle System Dynamics, 56(6):923-46, 2018.

J25. Y Xing, C. Lv, et al. Advances in Vision-Based Lane Detection: Algorithms, Integration, Assessment, and Perspectives on ACP-based Parallel Vision, IEEE/CAA Journal of Automatica Sinica, 5(3): 645-61, 2018.

J24. H Guo, J Liu, H Chen, D Cao, R Yu, C. Lv. Dual-envelop-oriented moving horizon path tracking control for fully automated vehicles, Mechatronics, 50: 422-433, 2018.

J23. C. Lv, H Wang, D Cao. High-precision hydraulic pressure control based on linear pressure-drop modulation in valve critical equilibrium state. IEEE Trans. on Industrial Electronics, 64(10): 7984-7993, 2017. (ESI Highly Cited Paper)

J22. J Zhang, Y Li, C. Lv, et al., Time-varying delays compensation algorithm for powertrain active damping of an electrified vehicle equipped with an axle motor during regenerative braking, Mechanical Systems and Signal Processing, 87: 45-63, 2017.

J21. Y Zhao, L Görne, IM Yuen, D Cao, M Sullman, D Auger, C. Lv, et al. An orientation sensor-based head tracking system for driver behaviour monitoring. Sensors, 17(11): 2692, 2017.

J20. C. Lv, D Cao, et al. Cyber-physical system based optimisation framework for intelligent powertrain control. SAE International Journal of Commercial Vehicles, 10(1), 2017.

J19. H Wang, Y Huang, C. Lv, A. Khajepour. A Global Optimal Energy Management System for Hybrid Electric off-road Vehicles. SAE International Journal of Commercial Vehicles 10, no. 2017-01-0425, 2017.

J18. Y Li, J Zhang, C. Lv, et al., Coordinated control of the steering system and distributed motors for comprehensive optimization of dynamics performance and energy consumption for an electric vehicle, Proceedings of the Inst. of Mechanical Engineers, Part D: Journal of Automobile Engineering, 231(12): 1605-1626, 2017. Most Cited Paper 2019, IMechE Part D: JAuto, UK)

J17. C. Lv, J Zhang, et al., Directional-stability-aware brake blending control synthesis for over-actuated electric vehicles during straight-line deceleration, Mechatronics, 38: 121-131, 2016.

J16. C. Lv, J Zhang, et al., Robust control of regenerative and hydraulic brakes for enhancing directional stability of an electric vehicle during straight-line braking, SAE Int. J. of Alternative Powertrains, 2016-01-1669, 5, 2016.

J15. Y Li, J Zhang, C. Lv, et al., Comprehensive optimization of dynamics performance and energy consumption for an electric vehicle via coordinated control of SBW and FIWMA, SAE International Journal of Passenger Cars - Mechanical Systems, 2016-01-0457, 9: 90-98, 2016.

J14. Y Yuan, J Zhang, C. Lv, et al., Design and performance analysis of a novel regenerative braking system for electrified passenger vehicles, SAE International Journal of Materials & Manufacturing, 9(3), 699-706, 2016.

J13. C. Lv, J Zhang, et al., Novel control algorithm of braking energy regeneration system for an electric vehicle during safety–critical driving maneuvers, Energy Conversion and Management, 106: 520-529, 2015.

J12. C. Lv, J Zhang, et al., Mode-switching-based active control of powertrain system with nonlinear backlash and flexibility for electric vehicle during regenerative deceleration, Proc Inst of Mechanical Engineers, Part D: Journal of Automobile Engineering, 229(11): 1429-1442, 2015. (Most Cited Paper 2018, IMechE Part D: JAuto, UK)

J11. C. Lv, J Zhang, et al., Synthesis of a hybrid-observer-based active controller for compensating powertrain backlash nonlinearity of an electric vehicle during regenerative braking, SAE International Journal of Alternative Powertrains, 4(1), doi:10.4271/2015-01-1225, 2015.

J10. C. Lv, J Zhang, et al., Mechanism analysis and evaluation methodology of regenerative braking contribution to energy efficiency improvement of electrified vehicles, Energy Conversion and Management, 92:469-482, 2015. (ESI Highly Cited Paper)

J9. C. Lv, J Zhang, et al., Extended-kalman-filter-based regenerative and friction blended braking control for electric vehicle equipped with axle motor considering damping and elastic properties of electric powertrain, Vehicle System Dynamics, 52(11):1372-1388, 2014.

J8. C. Lv, J Zhang, et al., Hardware-in-the-loop simulation of pressure-difference-limiting modulation of the hydraulic brake for regenerative braking control of electric vehicles, Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 228(6):649-662, 2014.

J7. J Zhang, C. Lv, et al. Status Quo and Prospect of Regenerative Braking Technology in Electric Cars. Automotive Engineering, 36(8): 911-918, 2014. (Outstanding Paper Award 2015, SAE China)

J6. J Zhang, C. Lv, et al., Study on a linear relationship between limited pressure difference and coil current of on-off valve and its influential factors, ISA Transactions, 53:150-161, 2014. (NSK Sino-Japan Friendship Outstanding Mechanical Engineering Paper Prize)

J5. J Zhang, Yutong Li, C. Lv, New regenerative braking control strategy for rear-driven electrified minivans, Energy Conversion and Management, 82:135-145, 2014.

J4. J Zhang, C. Lv, et al., Hybrid propulsion and hybrid braking technologies of electrified vehicles: Status and prospect. Journal of Automotive Safety and Energy, 3: 209-233, 2014.

J3. J Zhang, C. Lv, et al., Braking energy regeneration control of a fuel cell hybrid electric bus, Energy Conversion and Management, 76:1117-1124, 2013.

J2. J Zhang, C. Lv, J Gou, et al., Cooperative control of regenerative braking and hydraulic braking of an electrified passenger car, Proc Inst of Mechanical Engineers, Part D: Journal of Automobile Engineering, 226(10): 1289-1302, 2012. (Highly Commended Paper Award 2012, Most Cited Paper 2017, Most Read Article 2019, IMechE Part D: JAuto, UK)

J1. J Zhang, D Kong, C. Lv, X Chen, Optimization of control strategy for regenerative braking of electrified bus equipped with ABS, Proc IMechE, Part D: J. Automobile Engineering, 226(4): 494-506, 2012.

Conference Papers

C47. J. Wu, W. Huang, N. de Boer, Y. Mo, X. He, C. Lv, Safe Decision-making for Lane-change of Autonomous Vehicles via Human Demonstration-aided Reinforcement Learning, IEEE International Intelligent Transportation Systems Conference (ITSC), Macau, SAR, China, 2022.

C46. Z. Huang, X. Mo, C. Lv, ReCoAt: A Deep Learning-based Framework for Multi-Modal Motion Prediction in Autonomous Driving Application, IEEE International Intelligent Transportation Systems Conference (ITSC), Macau, SAR, China, 2022.

C45. X. Mo, Z. Huang, C. Lv, Stochastic Multi-Modal Interaction Prediction For Urban Driving, IEEE International Intelligent Transportation Systems Conference (ITSC), Macau, SAR, China, 2022.

C44. Z. Zhang, SW Lye, C. Lv, Human-Guided Safe and Efficient Trajectory Replanning for Unmanned Aerial Vehicles, International Conference on Control Automation and Diagnosis, 2022, Lisbon, Portugal.

C43. H. Liu, Z. Huang, C. Lv, Improved Deep Reinforcement Learning with Expert Demonstrations for Urban Autonomous Driving, IEEE Intelligent Vehicles Symposium, 2022, Aachen, Germany.

C42. Z. Huang, X. Mo, C. Lv, Multi-Modal Motion Prediction with Transformer-Based Neural Network for Autonomous Driving, IEEE International Conference on Robotics and Automation (ICRA), 2022, USA.

C41. H. Chen, W. Huang, C. Lv. A Hybrid Approach Combining LSTM Networks and Kinematic Rules for Vehicle Velocity Estimation. SAE Technical Paper, No. 2022-01-0157, 2022, USA.

C40. X. Mo, Y. Xing and C. Lv, Graph and Recurrent Neural Network-based Vehicle Trajectory Prediction For Highway Driving, IEEE International Intelligent Transportation Systems Conference (ITSC), Indianapolis, USA, 2021.

C39. J. Wu, Z. Huang, P. Hang, C. Huang, Niels de Boer, C. Lv, Digital Twin-enabled Reinforcement Learning for End-to-end Autonomous Driving, The 1st IEEE International Conference on Digital Twins and Parallel Intelligence (DTPI 2021), 2021. (Outstanding Student Paper Award, IEEE DTPI 2021)

C38. J. Wu, Z. Huang, J. Zhang, C. Lv, Confidence-based Reinforcement Learning for Energy Management of a Hybrid Electric Vehicle, The 34th International Electric Vehicle Symposium & Exhibition (EVS34), 2021. (Excellent Paper Award of EVS34)

C37. J. Cai, P. Hang, C. Lv. Game Theoretic Modeling and Decision Making for Connected Vehicle Interactions at Urban Intersections, IEEE International Conference on Advanced Robotics and Mechatronics (ICARM), 2021.

C36. P. Hang, C. Lv, C. Huang, Y. Xing, Z. Hu, J. Cai. Human-like Lane-change Decision Making for Automated Driving with a Game Theoretic Approach, 4th CAA International Conference on Vehicular Control and Intelligence (CVCI), 2020.

C35. X. Mo, Y. Xing and C. Lv, "Interaction-Aware Trajectory Prediction of Connected Vehicles using CNN-LSTM Networks," IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society, Singapore, 2020, pp. 5057-5062.

C34. Anh-Tu Nguyen, Jagat Jyoti Rath, C. Lv, Thierry-Marie Guerra Human-Machine Shared Control for Semi-Autonomous Vehicles Using Level of Cooperativeness, IEEE International Conference on Systems, Man and Cybernetics (SMC), 2020.

C33. Y Xing, C. Lv, Y. Liu, Y. Zhao, D. Cao, Continuous Driver Steering Intention Prediction Considering Neuromuscular Dynamics and Driving Postures, IEEE International Conference on Systems, Man and Cybernetics (SMC), 2020.

C32. C Huang, P Hang, J Wu, A.T. Nguyen, C. Lv, Reference-Free Human-Automation Shared Control for Obstacle Avoidance of Automated Vehicles, IEEE International Conference on Systems, Man and Cybernetics (SMC), 2020.

C31. Y Xing, Z Hu, Z Huang, C. Lv, D Cao, Efstathios Velenis, Multi-Scale Driver Behaivors Reasoning System for Intelligent Vehicles Based on a Joint Deep Learning Framework, IEEE International Conference on Systems, Man and Cybernetics (SMC), 2020.

C30. X. Mo, Y. Xing, C. LvInteraction-Aware Trajectory Prediction of Connected Vehicles using CNN-LSTM Networks, 46th Annual Conference on IEEE Industrial Electronics Society, IECON 2020.

C29. B. Liu, Z. Ding, C. Lv. Platoon Control of Connected Autonomous Vehicles: A Distributed Reinforcement Learning Method by Consensus, 21st IFAC World Congress, 2020.

C28. C. Huang, H. Huang, C. Lv. LMI-based Nonlinear State Observer for Vehicle Motion Tracking in Lane Change Manoeuvre, IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC), 2020.

C27. Y Xing, C. Huang, C. Lv. Driver-automation collaboration for automated vehicles: a review of human-centered shared control, The 31st IEEE Intelligent Vehicles Symposium, 2020.

C26. Y Xing, C Huang, C Lv, Y Liu, H Wang, D Cao, A Personalized Deep Learning Approach for Trajectory Prediction of Connected Vehicles, SAE 2020World Congress, 2020-01-0759, USA, 2020.

C25. Hu Q., Guo G., Wang H., Tang M., Lv C., Cao D. How to Define the Passenger’s Hazard Perception Level by Combining Subjective and Objective Measures?. In: Stephanidis C. (eds) HCI International 2019 – Late Breaking Papers. HCII 2019. Lecture Notes in Computer Science, vol 11786. Springer, Cham.

C24. Y. Li, C. Lv, J. Xue. A Novel Predictive Haptic Control for Machine-to-Human Takeover of Automated Vehicles. The 30th IEEE Intelligent Vehicles Symposium, 2019.

C23. Q. Liu, Y Mo, X Mo, C. Lv, M. Ehsan, D. Wang. Secure Pose Estimation for Autonomous Vehicles under Cyber Attacks. The 30th IEEE Intelligent Vehicles Symposium, 2019.

C22. Yang, C., C. Lv, Shu, H., et al. Driving-Style-Oriented Multi-Objective Optimal Control of an Electric Vehicle. IFAC-PapersOnLine, 51(31), 274-278, 2018.

C21. Peng, X., Zhan, Z., C. Lv, et al. Estimation of Driver's Attention Level Based on Correlation Analysis of Movements. 10th International Conference on Intelligent Human-Machine Systems and Cybernetics, IEEE, 2018.

C20. C. Lv, H. Wang, et al. A Novel Control Framework of Haptic Take-Over System for Automated Vehicles. The 29th IEEE Intelligent Vehicles Symposium, 2018.

C19. B Zhao, C. Lv, T Hofman, M Steinbuch. Improved driving cycle synthesis for powertrain design and control. The 29th IEEE Intelligent Vehicles Symposium, 2018.

C18. Xing Y, Tang J, Liu H, C. Lv, et al. End-to-End Driving Activities and Secondary Tasks Recognition Using Deep Convolutional Neural Network and Transfer Learning. The 29th IEEE Intelligent Vehicles Symposium, 2018. (Best Workshop/Special Session Paper Award, IV'18)

C17. B. Zhao, C. Lv, T. Hofman, M. Steinbuch, et al, Design Optimization of a transmission system for an electric vehicle considering dynamic regenerative braking efficiency, SAE 2018 World Congress, 2018-01-0819, USA, 2018.

C16. C. Lv, H Wang, et al. Characterisation of driver neuromuscular dynamics for haptic take-over system design for automated vehicles. 43rd Annual Conference on IEEE Industrial Electronics Society, IECON 2017.

C15. C.W. Lin, C. Lv, et al. Multi-Point Turn Decision Making Framework for Human-Like Automated Driving, 20th Int. Conf. on Intelligent Transportation Systems, ITSC 2017.

C14. M Holland, C. Lv, D. Cao, Virtual Test Design and Automated Analysis of Lane Keeping Assistance Systems in Accordance with Euro NCAP Test Protocols. SAE 2017 World Congress, No. 2017-01-0429, USA, 2017.

C13. Y Xing, C. Lv, Dongpu Cao, Recognizing driver braking intention with vehicle data using unsupervised learning methods, SAE 2017 World Congress, No. 2017-01-0433, Detroit, USA, 2017.

C12. Y Yuan, J Zhang, Y Li, C. Lv. Regenerative brake-by-wire system development and hardware-in-loop test for autonomous electrified vehicle. SAE 2017 World Congress, No. 2017-01-0401, USA, 2017.

C11. H Wang, Y Huang, A Khajepour, H He, C. Lv. MPC-based power management strategy for a series hybrid electric tracked bulldozer, IEEE International Conference on Industrial Technology, 2017, Toronto, Canada.

C10. C. Lv, J Zhang, A Sangiovanni-Vincentelli, et al., Design optimization of the control system for the powertrain of an electric vehicle: A Cyber-Physical System Approach, IEEE International Conference on Mechatronics and Automation, 2015, Beijing, China.

C9. J Zhang, A Bertaux, C. Lv, Yutong Li, New compact EHBS, increasing regenerative efficiency at low vehicle speed, IEEE International Conference on Mechatronics and Automation, 2015, Beijing, China.

C8. J Zhang, Y Yuan, C. Lv, Modeling and analysis of regenerative braking system for electric vehicle based on AMESim, IEEE International Conference on Mechatronics and Automation, 2015, Beijing, China.

C7. Z Zhang, J Zhang, C. Lv, Research on control strategy of electric-hydraulic hybrid anti-lock braking system of an electric passenger car, IEEE Intelligent Vehicles Symposium, 2015, Seoul, Korea.

C6. C. Lv, J Zhang, et al., Regenerative braking control algorithm for an electrified vehicle equipped with a by-wire brake system, SAE 2014 World Congress, No.2014-01-1791, Detroit, USA.

C5. Y Li, J Zhang, C. Lv, Robust control of anti-lock brake system for an electric vehicle equipped with an axle motor, SAE 2014 World Congress, No.2014-01-0140, Detroit, USA.

C4. Y Li, J Zhang, C. Lv, Research of regenerative braking system for electrified buses equipped with a brake resistor, IEEE Vehicle Power and Propulsion Conference, 2013, Beijing.

C3. J Zhang, C. Lv, et al., Development of the electrically-controlled regenerative braking system for electrified passenger vehicle, SAE 2013 World Congress, No.2013-01-1463, Detroit, USA.

C2. X Yue, J Zhang, C. Lv, et al., Computational simulation on VSC based on PID coordinated control algorithm and differential brake, IEEE Vehicle Power and Propulsion Conference, 2012, Seoul, Korea.

C1. C. Lv, J Zhang, Research of parameter design and matching of powertrain system in plug-in hybrid electric vehicle, IEEE Int. Conference on Electric Information and Control Engineering, 2011, 2490-2493.

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