J146. X. He, J. Wu, Z. Huang, Z. 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. Yang, Z. 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. Hu, Y. Wang, C. 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. Hu, Y. 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.