Research Papers

2021, 2022, 2023, 2024, 2025


2025

  • [Mar. 2025] Zhou B, Zarrouki B, Piccinini M, et al. Safe Reinforcement Learning with a Predictive Safety Filter for Motion Planning and Control: A Drifting Vehicle Example. 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), under review.

  • [Mar. 2025] Hu C, Huang J, Mao W, et al. FSDP: Fast and Safe Data-Driven Overtaking Trajectory Planning for Head-to-Head Autonomous Racing Competiions. 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), under review.

  • [Feb. 2025] Hu C, Xie Y, Xie L, et al. Sparse Gaussian Process-Based Strategies for Two-Layer Model Predictive Control in Autonomous Vehicle Drifting [J]. Transportation Research Part C: Emerging Technologies, 2025.

  • [Feb. 2025] Zhou B, Hu C, Zeng J, et al. Adaptive Learning-based Model Predictive Control Strategy for Drift Vehicles [J]. Robotics and Autonomous Systems, 2025. [Paper]

  • [Feb. 2025] Fu Y, Hu C, Xiong H, et al. Residual Koopman Model Predictive Control for Enhanced Vehicle Dynamics with Small OnTrack Data Input. Intelligent Vehicles Symposium, under review, 2025.

  • [Feb. 2025] Wu G, Hu C, Weng W, et al. Learning to Drift in Extreme Turning with Active Exploration and Gaussian Process Based MPC. Intelligent Vehicles Symposium, under review, 2025.

  • [Jan. 2025] Li Z, Zhou B, Hu C, et al. A Data-Driven Aggressive Autonomous Racing Framework Utilizing Local Trajectory Planning with Velocity Prediction. 2025 International Conference on Robotics and Automation (ICRA). [Preprint]

  • [Jan. 2025] Ghignone E, Baumann N, Hu C, et al. A Residual Method for Zero-Shot Real-World Autonomous Racing on Scaled Platforms. 2025 International Conference on Robotics and Automation (ICRA). [Preprint]

  • [Jan. 2025] Xie Y, Hu C, Nicolas B, et al. GP-enhanced Autonomous Drifting Framework using ADMM-based iLQR. 2025 American Control Conference (ACC).

2024

  • [Dec. 2024] Dikici O, Ghignone E, Hu C, et al. Learning-Based On-Track System Identification for Scaled Autonomous Racing in Under a Minute [J]. IEEE Robotics and Automation Letters, 2024. [Paper] [Code]

  • [Nov. 2024] Baumann N, Ghignone E, Hu C, et al. Predictive Spliner: Data-Driven Overtaking in Autonomous Racing Using Opponent Trajectory Prediction [J]. IEEE Robotics and Automation Letters, 2024. [Paper] [Code]

  • [Oct. 2024] Mao W, Li Z, Xie L, et al. An Overtaking Trajectory Planning Framework Based on Spatio-temporal Topology and Reachable Set Analysis Ensuring Time Efficiency [J]. Robotics and Autonomous Systems, under review, 2024. [Preprint]

  • [Sep. 2024] Li Z, Xie L, Hu C, et al. A rapid iterative trajectory planning method for automated parking through differential flatness [J]. Robotics and Autonomous Systems, 2024. [Paper]

  • [Jul. 2024] Zhou B, Liu Z, Su H. 5G Networks Enabling Cooperative Autonomous Vehicle Localization: A Survey [J]. IEEE Transactions on Intelligent Transportation Systems, 2024. [Paper]

  • [Jul. 2024] Li Z, Xie L, Hu C, et al. Reduce Lap Time for Autonomous Racing with Curvature-Integrated MPCC Local Trajectory Planning Method. 2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC).

  • [Apr. 2024] Hu C, Xie L, Zhang Z, et al. A novel model predictive controller for the drifting vehicle to track a circular trajectory [J]. Vehicle System Dynamics, 2024. [Paper]

  • [Mar. 2024] Weng W, Hu C, Li Z, et al. An aggressive cornering framework for autonomous vehicles combining trajectory planning and drift control. 2024 IEEE Intelligent Vehicles Symposium (IV). [Paper]

  • [Jan. 2024] Zhou B, Cheng H, Shi Y, et al. Learning-based hierarchical model predictive control for drift vehicles. 2024 American Control Conference (ACC). [Paper]

  • [Jan. 2024] Hu X, Shi Y, Xie L, et al. Distributed non‐linear model predictive control with Gaussian process dynamics for two‐dimensional motion of vehicle platoon [J]. IET Intelligent Transport Systems, 2024. [Paper]

2023

  • [Dec. 2023] Hu X, Zhou B, Shi Y, et al. Fuel Economy-Oriented Parameter Tuning for Platoon Distributed Model Predictive Control Based on Bayesian Optimization. 2023 China Automation Congress (CAC). [Paper]

  • [Mar. 2023] Zhang Z, Xie L, Lu S, et al. Vehicle yaw stability control with a two-layered learning MPC [J]. Vehicle system dynamics, 2023. [Paper]

2022

  • [Sep. 2022] Duo R, Hu C, Zhou X, et al. An MPC-Based Drifting Control System for Collision Avoidance in Autonomous Vehicles. IEEE International Conference on Advanced Infocomm Technology.   [Paper]

  • [Jul. 2022] Zhou X, Hu C, Duo R, et al. Learning-based mpc controller for drift control of autonomous vehicles. 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC).  [Paper]

  • [Mar. 2022] Hu X, Xie L, Xie L, et al. Distributed model predictive control for vehicle platoon with mixed disturbances and model uncertainties [J]. IEEE Transactions on Intelligent Transportation Systems, 2022. [Paper]

  • [Jan. 2022] Hu C, Zhou X, Duo R, et al. Combined fast control of drifting state and trajectory tracking for autonomous vehicles based on MPC controller. 2022 International Conference on Robotics and Automation (ICRA).  [Paper]


2021

  • [Mar. 2021] Qi Y, Zhang Z, Hu C, et al. An mpc-based controller framework for agile maneuvering of autonomous vehicles. 2021 IEEE Intelligent Vehicles Symposium (IV).  [Paper]

  • [Feb. 2021] Zhang Z, Lu S, Xie L, et al. A guaranteed collision‐free trajectory planning method for autonomous parking [J]. IET Intelligent Transport Systems, 2021. [Paper]