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Zhiqian Lan
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Generalized moving horizon estimation for nonlinear systems with robustness to measurement outliers
W Cao, C Liu, Z Lan, Y Piao, SE Li
2023 American Control Conference (ACC), 1614-1621, 2023
42023
Podar: Modeling Driver's Perceived Risk with Situation Awareness Theory
C Chen, Z Lan, G Zhan, Y Lyu, B Nie, SE Li
Available at SSRN 4129030, 2022
42022
A Reinforcement Learning Benchmark for Autonomous Driving in General Urban Scenarios
Y Jiang, G Zhan, Z Lan, C Liu, B Cheng, SE Li
IEEE Transactions on Intelligent Transportation Systems, 2023
22023
Robust Bayesian Inference for Moving Horizon Estimation
W Cao, C Liu, Z Lan, SE Li, W Pan, A Alessandri
arXiv preprint arXiv:2210.02166, 2022
22022
Quantifying the Individual Differences of Drivers’ Risk Perception via Potential Damage Risk Model
C Chen, Z Lan, G Zhan, Y Lyu, B Nie, SE Li
IEEE Transactions on Intelligent Transportation Systems, 2024
12024
SEPT: Towards Efficient Scene Representation Learning for Motion Prediction
Z Lan, Y Jiang, Y Mu, C Chen, SE Li
arXiv preprint arXiv:2309.15289, 2023
12023
Neural MPC-Based Decision-Making Framework for Autonomous Driving in Multi-Lane Roundabout
Y Mu, Z Lan, C Chen, C Liu, P Luo, SE Li
2023 IEEE 26th International Conference on Intelligent Transportation …, 2023
12023
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