Zhiqian Lan

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 8

Top Topics

Individual Differences

Nonlinear Dynamic Systems

Adaptive Neural Control

Autonomous Driving

Top Venues

IEEE Trans. Intell. Transp. Syst.

Publications

Zhiqian Lan, Yuxuan Jiang, Yao Mu, Chen Chen, Shengbo Eben Li
SEPT: Towards Efficient Scene Representation Learning for Motion Prediction. ICLR (2024)
Yuxuan Jiang, Guojian Zhan, Zhiqian Lan, Chang Liu, Bo Cheng, Shengbo Eben Li
A Reinforcement Learning Benchmark for Autonomous Driving in General Urban Scenarios. IEEE Trans. Intell. Transp. Syst. 25 (5) (2024)
Chen Chen, Zhiqian Lan, Guojian Zhan, Yao Lyu, Bingbing Nie, Shengbo Eben Li
Quantifying the Individual Differences of Drivers' Risk Perception via Potential Damage Risk Model. IEEE Trans. Intell. Transp. Syst. 25 (7) (2024)
Yuxuan Jiang, Yujie Yang, Zhiqian Lan, Guojian Zhan, Shengbo Eben Li, Qi Sun, Jian Ma, Tianwen Yu, Changwu Zhang
Rocket Landing Control with Random Annealing Jump Start Reinforcement Learning. CoRR (2024)
Wenhan Cao, Chang Liu, Zhiqian Lan, Yingxi Piao, Shengbo Eben Li
Generalized Moving Horizon Estimation for Nonlinear Systems with Robustness to Measurement Outliers. ACC (2023)
Yao Mu, Zhiqian Lan, Chen Chen, Chang Liu, Ping Luo, Shengbo Eben Li
Neural MPC-Based Decision-Making Framework for Autonomous Driving in Multi-Lane Roundabout. ITSC (2023)
Chen Chen, Zhiqian Lan, Guojian Zhan, Yao Lyu, Bingbing Nie, Shengbo Eben Li
Quantifying the Individual Differences of Driver' Risk Perception with Just Four Interpretable Parameters. CoRR (2022)
Wenhan Cao, Chang Liu, Zhiqian Lan, Yingxi Piao, Shengbo Eben Li
Generalized Moving Horizon Estimation for Nonlinear Systems with Robustness to Measurement Outliers. CoRR (2022)