Zhiqian Lan

According to our database, Zhiqian Lan authored at least 7 papers between 2022 and 2024.

Collaborative distances:

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

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

A Reinforcement Learning Benchmark for Autonomous Driving in General Urban Scenarios.

Yuxuan Jiang, Guojian Zhan, Zhiqian Lan, Chang Liu, Bo Cheng, Shengbo Eben Li

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

Rocket Landing Control with Random Annealing Jump Start Reinforcement Learning.

Yuxuan Jiang, Yujie Yang, Zhiqian Lan, Guojian Zhan, Shengbo Eben Li, Qi Sun, Jian Ma, Tianwen Yu, Changwu Zhang

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 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 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Generalized Moving Horizon Estimation for Nonlinear Systems with Robustness to Measurement Outliers.

Wenhan Cao, Chang Liu, Zhiqian Lan, Yingxi Piao, Shengbo Eben Li

Proceedings of the American Control Conference, 2023

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