Driving-RAG: Driving Scenarios Embedding, Search, and RAG Applications.
CoRR, April, 2025
Boosting the Training of Deep Reinforcement Learning Traffic Control by Using the World Model.
IEEE Intell. Transp. Syst. Mag., 2025
Predictive Vehicle Stability Assessment Using Lyapunov Exponent Under Extreme Conditions.
IEEE Trans. Intell. Transp. Syst., December, 2024
LLMScenario: Large Language Model Driven Scenario Generation.
IEEE Trans. Syst. Man Cybern. Syst., November, 2024
Large Models Defining a New Era in Intelligence Testing: A Short Discussion and Exploration.
IEEE Trans. Intell. Veh., August, 2024
Task-Driven Controllable Scenario Generation Framework Based on AOG.
IEEE Trans. Intell. Transp. Syst., June, 2024
LLM-Based Operating Systems for Automated Vehicles: A New Perspective.
IEEE Trans. Intell. Veh., April, 2024
Dynamic Testing for Autonomous Vehicles Using Random Quasi Monte Carlo.
IEEE Trans. Intell. Veh., March, 2024
A Bi-Level Network-Wide Cooperative Driving Approach Including Deep Reinforcement Learning-Based Routing.
IEEE Trans. Intell. Veh., January, 2024
Life-long Learning and Testing for Automated Vehicles via Adaptive Scenario Sampling as A Continuous Optimization Process.
CoRR, 2024
Interaction-Based Driving Scenario Classification and Labeling.
CoRR, 2024
LogisticsVISTA: 3D Terminal Delivery Services With UAVs, UGVs and USVs Based on Foundation Models and Scenarios Engineering.
Proceedings of the IEEE International Conference on Service Operations and Logistics, 2024
An Enhanced MILP-Based Verifier for Adversary Robustness of Neural Networks.
Proceedings of the Neural Information Processing - 31st International Conference, 2024