Peng Hang

収録論文 33本 ・ フィジカルAI/ロボット学習

※arXiv著者名で収集。同姓同名の別人の論文が含まれる場合があります。

論文

• OVPD: A Virtual-Physical Fusion Testing Dataset of OnSite Auton-omous Driving Challenge
  2026/4/1
• Large Language Model based Interactive Decision-Making for Autonomous Driving
  2026/4/1
• Toward Cooperative Driving in Mixed Traffic: An Adaptive Potential Game-Based Approach with Field Test Verification
  2026/4/1
• Evaluation as Evolution: Transforming Adversarial Diffusion into Closed-Loop Curricula for Autonomous Vehicles
  2026/4/1
• VP-AutoTest: A Virtual-Physical Fusion Autonomous Driving Testing Platform
  2025/12/1
• CoReVLA: A Dual-Stage End-to-End Autonomous Driving Framework for Long-Tail Scenarios via Collect-and-Refine
  2025/9/1
• A Knowledge-Driven Diffusion Policy for End-to-End Autonomous Driving Based on Expert Routing
  2025/9/1
• LeAD: The LLM Enhanced Planning System Converged with End-to-end Autonomous Driving
  2025/7/1
• Interactive Adversarial Testing of Autonomous Vehicles with Adjustable Confrontation Intensity
  2025/7/1
• Towards Human-Centric Autonomous Driving: A Fast-Slow Architecture Integrating Large Language Model Guidance with Reinforcement Learning
  2025/5/1
• OnSiteVRU: A High-Resolution Trajectory Dataset for High-Density Vulnerable Road Users
  2025/3/1
• A Vehicle-Infrastructure Multi-layer Cooperative Decision-making Framework
  2025/3/1
• Interact, Instruct to Improve: A LLM-Driven Parallel Actor-Reasoner Framework for Enhancing Autonomous Vehicle Interactions
  2025/3/1
• TeLL-Drive: Enhancing Autonomous Driving with Teacher LLM-Guided Deep Reinforcement Learning
  2025/2/1
• InterHub: A Naturalistic Trajectory Dataset with Dense Interaction for Autonomous Driving
  2024/11/1
• Language-Driven Policy Distillation for Cooperative Driving in Multi-Agent Reinforcement Learning
  2024/10/1
• Towards Interactive and Learnable Cooperative Driving Automation: a Large Language Model-Driven Decision-Making Framework
  2024/9/1
• Cooperative Decision-Making for CAVs at Unsignalized Intersections: A MARL Approach with Attention and Hierarchical Game Priors
  2024/9/1
• Towards Safe and Robust Autonomous Vehicle Platooning: A Self-Organizing Cooperative Control Framework
  2024/8/1
• MAPPO-PIS: A Multi-Agent Proximal Policy Optimization Method with Prior Intent Sharing for CAVs' Cooperative Decision-Making
  2024/8/1
• A Decision-Making GPT Model Augmented with Entropy Regularization for Autonomous Vehicles
  2024/6/1
• Evaluation of Drivers' Interaction Ability at Social Scenarios: A Process-Based Framework
  2024/5/1
• Delay-Aware Multi-Agent Reinforcement Learning for Cooperative Adaptive Cruise Control with Model-based Stability Enhancement
  2024/4/1
• DDM-Lag : A Diffusion-based Decision-making Model for Autonomous Vehicles with Lagrangian Safety Enhancement
  2024/1/1
• Enhancing Social Decision-Making of Autonomous Vehicles: A Mixed-Strategy Game Approach With Interaction Orientation Identification
  2023/12/1
• Towards Socially Responsive Autonomous Vehicles: A Reinforcement Learning Framework with Driving Priors and Coordination Awareness
  2023/9/1
• MTD-GPT: A Multi-Task Decision-Making GPT Model for Autonomous Driving at Unsignalized Intersections
  2023/7/1
• Human-Like Implicit Intention Expression for Autonomous Driving Motion Planning: A Method Based on Learning Human Intention Priors
  2023/7/1
• Brain-Inspired Modelling and Decision-making for Human-Like Autonomous Driving in Mixed Traffic Environment
  2022/1/1
• Human-in-the-Loop Deep Reinforcement Learning with Application to Autonomous Driving
  2021/4/1
• Gaussian Process-Based Model Predictive Control for Overtaking
  2021/1/1
• Human-Like Decision Making for Autonomous Driving: A Noncooperative Game Theoretic Approach
  2020/5/1
• An Integrated Framework of Decision Making and Motion Planning for Autonomous Vehicles Considering Social Behaviors
  2020/5/1