姓名：吕辰

职称：教授

简历：吕辰是南洋理工大学机械与航空航天工程学院的副教授。他还与电气与电子工程学院联合任职。他是自动驾驶和人机系统 （AutoMan） 研究实验室主任、ERI@N 未来移动解决方案集群主任、大陆-南洋理工大学实验室智能移动和交付的推动负责人，以及舍弗勒-南洋理工大学联合实验室下一代 AMR 的项目负责人。他于 2016 年在中国清华大学汽车工程系获得博士学位，并在美国加州大学伯克利分校 EECS 系获得联合博士学位。在 2018 年 6 月加入南洋理工大学担任南洋助理教授之前，他于 2016-2018 年在英国克兰菲尔德大学先进车辆工程中心担任研究员。他的研究重点是自动驾驶、人机协作、机器人技术和 CPS，并在其中做出了贡献。

研究方向：

类人自动驾驶、人机系统、智能决策、人在回路 AI、信息物理系统

代表性期刊论文

1.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, 2024.

2.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, 2024.

3.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.

4.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.

5.D. Cao, C. Lv, et al., Future Directions of Intelligent Vehicles: Potentials, Possibilities, and Perspectives, IEEE Transactions on Intelligent Vehicles, 7(1): 7-10, 2023. (ESI 高被引论文)

6.X. He, C. Lv, Toward Intelligent Connected E-Mobility: Energy-Aware Cooperative Driving with Deep Multiagent Reinforcement Learning, IEEE Vehicular Technology Magazine, 2023, in press.

7.T. Yang, C. Murguia, C. Lv, Risk Assessment for Connected Vehicles Under Stealthy Attacks on Vehicle-to-Vehicle Networks, IEEE Transactions on Intelligent Transportation Systems, 2023, in press.

8.J. Wu, Z. Song, C. Lv, Deep Reinforcement Learning based Energy-efficient Decision-making for Autonomous Electric Vehicle in Dynamic Traffic Environments, IEEE Transactions on Transportation Electrification, 2023, in press.

9.H. Yang, J. Wu, Z. Hu, C. Lv, Real-Time Driver Cognitive Workload Recognition: Attention-Enabled Learning with Multimodal Information Fusion, IEEE Transactions on Industrial Electronics, 2023, in press.

10.J. Zhu, Y.Ma, Y. Zhang, Y. Zhang, C. Lv, Takeover quality prediction based on driver physiological state of different cognitive tasks in conditionally automated driving, Advanced Engineering Informatics, 57, 2023.

11.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.

12.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.