Chen Chen

According to our database, Chen Chen authored at least 15 papers between 2022 and 2026.

Collaborative distances:

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

2026

Generation of High-Coverage Traffic Scenarios for Efficient Simulation Testing of Automated Driving Systems.

Penghui Li, Henan Yuan, Qianru Dong, Ruidong Yan, Chunjiao Dong, Chen Chen, Shengbo Eben Li

IEEE Trans. Intell. Transp. Syst., March, 2026

PODAR: A Collision Risk Model Offering Valid Signals for Vehicular Interactions.

Chen Chen, Zhipeng Liu, Weiqiang Liang, Mingming Wang, Zhiqian Lan, Guojian Zhan, Yao Lyu, Bingbing Nie, Shengbo Eben Li

IEEE Intell. Transp. Syst. Mag., 2026

2025

When Do Drivers Maneuver: Experimental Investigation and Inference of Perception-Response Time for Tailored Safety Systems in Intelligent Vehicles.

Detong Qin, Qingfan Wang, Quan Li, Tianle Lu, Chen Chen, Hong Wang, Bingbing Nie

IEEE Trans. Hum. Mach. Syst., August, 2025

A Path-Driven Probabilistic Framework for Simulating Abnormal Behavior in Autonomous Driving Scenarios.

Jie Xiong, Chen Chen, Haoyu Gao, Teh Jing Lin, Zi'ang Zheng, Bo Cheng, Shengbo Eben Li

Proceedings of the IEEE Intelligent Vehicles Symposium, 2025

Explicit Nonlinear Control for Optimal Trajectory Tracking of Autonomous Vehicles.

Haoyu Gao, Weixian He, Tong Liu, Jie Xiong, Bin Shuai, Chen Chen, Chang Liu, Shengbo Eben Li

Proceedings of the IEEE Intelligent Vehicles Symposium, 2025

2024

Enhance Sample Efficiency and Robustness of End-to-End Urban Autonomous Driving via Semantic Masked World Model.

Zeyu Gao, Yao Mu, Chen Chen, Jingliang Duan, Ping Luo, Yanfeng Lu, Shengbo Eben Li

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

Quantifying the Individual Differences of Drivers' Risk Perception via Potential Damage Risk Model.

Chen Chen, Zhiqian Lan, Guojian Zhan, Yao Lyu, Bingbing Nie, Shengbo Eben Li

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

SEPT: Towards Efficient Scene Representation Learning for Motion Prediction.

Zhiqian Lan, Yuxuan Jiang, Yao Mu, Chen Chen, Shengbo Eben Li

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Neural MPC-Based Decision-Making Framework for Autonomous Driving in Multi-Lane Roundabout.

Yao Mu, Zhiqian Lan, Chen Chen, Chang Liu, Ping Luo, Shengbo Eben Li

Proceedings of the 26th IEEE International Conference on Intelligent Transportation Systems, 2023

LipsNet: A Smooth and Robust Neural Network with Adaptive Lipschitz Constant for High Accuracy Optimal Control.

Xujie Song, Jingliang Duan, Wenxuan Wang, Shengbo Eben Li, Chen Chen, Bo Cheng, Bo Zhang, Junqing Wei, Xiaoming Simon Wang

Proceedings of the International Conference on Machine Learning, 2023

2022

Self-Learned Intelligence for Integrated Decision and Control of Automated Vehicles at Signalized Intersections.

Yangang Ren, Jianhua Jiang, Guojian Zhan, Shengbo Eben Li, Chen Chen, Keqiang Li, Jingliang Duan

IEEE Trans. Intell. Transp. Syst., 2022

Quantifying the Individual Differences of Driver' Risk Perception with Just Four Interpretable Parameters.

Chen Chen, Zhiqian Lan, Guojian Zhan, Yao Lyu, Bingbing Nie, Shengbo Eben Li

CoRR, 2022

Enhance Sample Efficiency and Robustness of End-to-end Urban Autonomous Driving via Semantic Masked World Model.

Zeyu Gao, Yao Mu, Ruoyan Shen, Chen Chen, Yangang Ren, Jianyu Chen, Shengbo Eben Li, Ping Luo, Yanfeng Lu

CoRR, 2022

Primal-dual Estimator Learning: an Offline Constrained Moving Horizon Estimation Method with Feasibility and Near-optimality Guarantees.

Wenhan Cao, Jingliang Duan, Shengbo Eben Li, Chen Chen, Chang Liu, Yu Wang

CoRR, 2022

Primal-Dual Estimator Learning Method with Feasibility and Near-Optimality Guarantees.

Wenhan Cao, Jingliang Duan, Shengbo Eben Li, Chen Chen, Chang Liu, Yu Wang

Proceedings of the 61st IEEE Conference on Decision and Control, 2022