Qin Lin

According to our database, Qin Lin authored at least 30 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Delay-Aware Robust Control for Safe Autonomous Driving and Racing.

Dvij Kalaria, Qin Lin, John M. Dolan

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

Safety Augmentation for Volitional Human Locomotion via Lower-Limb Exoskeletons: A Case Study.

Miao Yu, Qin Lin, Ge Lv

IEEE Control. Syst. Lett., 2024

Quadrotor Fault-Tolerant Control at High Speed: A Model-Based Extended State Observer for Mismatched Disturbance Rejection Approach.

Jinfeng Chen, Fan Zhang, Bin Hu, Qin Lin

IEEE Control. Syst. Lett., 2024

Disturbance Observer-based Control Barrier Functions with Residual Model Learning for Safe Reinforcement Learning.

Dvij Kalaria, Qin Lin, John M. Dolan

CoRR, 2024

Adaptive Planning and Control with Time-Varying Tire Models for Autonomous Racing Using Extreme Learning Machine.

Dvij Kalaria, Qin Lin, John M. Dolan

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Disturbance Rejection-Guarded Learning for Vibration Suppression of Two-Inertia Systems.

Fan Zhang, Jinfeng Chen, Yu Hu, Zhiqiang Gao, Ge Lv, Qin Lin

Proceedings of the 20th IEEE International Conference on Automation Science and Engineering, 2024

2023

Towards Optimal Head-to-head Autonomous Racing with Curriculum Reinforcement Learning.

Dvij Kalaria, Qin Lin, John M. Dolan

CoRR, 2023

Towards Safety Assured End-to-End Vision-Based Control for Autonomous Racing.

Dvij Kalaria, Qin Lin, John M. Dolan

CoRR, 2023

Towards Low-Barrier Cybersecurity Research and Education for Industrial Control Systems.

Colman McGuan, Chansu Yu, Qin Lin

Proceedings of the IEEE International Conference on Intelligence and Security Informatics, 2023

Robust Control Barrier Functions for Safe Control Under Uncertainty Using Extended State Observer and Output Measurement.

Jinfeng Chen, Zhiqiang Gao, Qin Lin

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Spatio-temporal Motion Planning for Autonomous Vehicles with Trapezoidal Prism Corridors and Bézier Curves.

Srujan Deolasee, Qin Lin, Jialun Li, John M. Dolan

Proceedings of the American Control Conference, 2023

2022

Safe and Resilient Practical Waypoint-Following for Autonomous Vehicles.

Qin Lin, Stefan Mitsch, André Platzer, John M. Dolan

IEEE Control. Syst. Lett., 2022

Delay-aware Robust Control for Safe Autonomous Driving.

Dvij Kalaria, Qin Lin, John M. Dolan

Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022

Online Adaptive Compensation for Model Uncertainty Using Extreme Learning Machine-based Control Barrier Functions.

Emanuel Munoz, Dvij Kalaria, Qin Lin, John M. Dolan

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Motion Planning by Search in Derivative Space and Convex Optimization with Enlarged Solution Space.

Jialun Li, Xiaojia Xie, Qin Lin, Jianping He, John M. Dolan

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

2021

Safe Planning and Control Under Uncertainty for Self-Driving.

Shivesh Khaitan, Qin Lin, John M. Dolan

IEEE Trans. Veh. Technol., 2021

Jerk-Minimized CILQR for Human-Like Driving on Two-Lane Roadway.

Omid Jahanmahin, Qin Lin, Yanjun Pan, John M. Dolan

Proceedings of the IEEE Intelligent Vehicles Symposium, 2021

2020

Safety Verification of a Data-driven Adaptive Cruise Controller.

Qin Lin, Sicco Verwer, John M. Dolan

Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

Safe Planning for Self-Driving Via Adaptive Constrained ILQR.

Yanjun Pan, Qin Lin, Het Shah, John M. Dolan

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

ReachFlow: An Online Safety Assurance Framework for Waypoint-Following of Self-driving Cars.

Qin Lin, Xin Chen, Aman Khurana, John M. Dolan

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Measuring Similarity of Interactive Driving Behaviors Using Matrix Profile.

Qin Lin, Wenshuo Wang, Yihuan Zhang, John M. Dolan

Proceedings of the 2020 American Control Conference, 2020

2019

MOHA: A Multi-Mode Hybrid Automaton Model for Learning Car-Following Behaviors.

Qin Lin, Yihuan Zhang, Sicco Verwer, Jun Wang

IEEE Trans. Intell. Transp. Syst., 2019

Learning a Safety Verifiable Adaptive Cruise Controller from Human Driving Data.

Qin Lin, Sicco Verwer, John M. Dolan

CoRR, 2019

Using Datasets from Industrial Control Systems for Cyber Security Research and Education.

Qin Lin, Sicco Verwer, Robert E. Kooij, Aditya Mathur

Proceedings of the Critical Information Infrastructures Security, 2019

2018

Lane-Change Intention Estimation for Car-Following Control in Autonomous Driving.

Yihuan Zhang, Qin Lin, Jun Wang, Sicco Verwer, John M. Dolan

IEEE Trans. Intell. Veh., 2018

TABOR: A Graphical Model-based Approach for Anomaly Detection in Industrial Control Systems.

Qin Lin, Sridhar Adepu, Sicco Verwer, Aditya Mathur

Proceedings of the 2018 on Asia Conference on Computer and Communications Security, 2018

2017

Anomaly Detection in a Digital Video Broadcasting System Using Timed Automata.

Xiaoran Liu, Qin Lin, Sicco Verwer, Dmitri Jarnikov

CoRR, 2017

Learning behavioral fingerprints from Netflows using Timed Automata.

Gaetano Pellegrino, Qin Lin, Christian A. Hammerschmidt, Sicco Verwer

Proceedings of the 2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM), 2017

2016

Interpreting Finite Automata for Sequential Data.

Christian Albert Hammerschmidt, Sicco Verwer, Qin Lin, Radu State

CoRR, 2016

Learning Deterministic Finite Automata from Infinite Alphabets.

Gaetano Pellegrino, Christian A. Hammerschmidt, Qin Lin, Sicco Verwer

Proceedings of the 13th International Conference on Grammatical Inference, 2016