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 | 4 | 2023 |
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 | 4 | 2022 |
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 | 2 | 2023 |
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 | 2 | 2022 |
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 | 1 | 2024 |
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 | 1 | 2023 |
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 | 1 | 2023 |