Jian Sun
収録論文 54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
- World Models as Adversaries: Multi-Agent Self-Play Fine-Tuning for Robust Motion Planning2026/7/1
- AeroAct: Action-Centered World-Action Models for Language-Conditioned Quadrotor Flight2026/7/1
- MAD: Mapping-Aware World Models for Agile Quadrotor Flight2026/6/1
- From Attacks to Curricula: Learnability-Guided Adversarial Training for Safe Autonomous Driving2026/6/1
- Toward Cooperative Driving in Mixed Traffic: An Adaptive Potential Game-Based Approach with Field Test Verification2026/4/1
- OVPD: A Virtual-Physical Fusion Testing Dataset of OnSite Auton-omous Driving Challenge2026/4/1
- Evaluation as Evolution: Transforming Adversarial Diffusion into Closed-Loop Curricula for Autonomous Vehicles2026/4/1
- SignNav: Leveraging Signage for Semantic Visual Navigation in Large-Scale Indoor Environments2026/3/1
- Direct Contact-Tolerant Motion Planning With Vision Language Models2026/3/1
- VP-AutoTest: A Virtual-Physical Fusion Autonomous Driving Testing Platform2025/12/1
- Steerable Adversarial Scenario Generation through Test-Time Preference Alignment2025/9/1
- DiffAero: A GPU-Accelerated Differentiable Simulation Framework for Efficient Quadrotor Policy Learning2025/9/1
- CoReVLA: A Dual-Stage End-to-End Autonomous Driving Framework for Long-Tail Scenarios via Collect-and-Refine2025/9/1
- A Knowledge-Driven Diffusion Policy for End-to-End Autonomous Driving Based on Expert Routing2025/9/1
- CORB-Planner: Corridor as Observations for RL Planning in High-Speed Flight2025/9/1
- LeAD: The LLM Enhanced Planning System Converged with End-to-end Autonomous Driving2025/7/1
- Interactive Adversarial Testing of Autonomous Vehicles with Adjustable Confrontation Intensity2025/7/1
- Towards Human-Centric Autonomous Driving: A Fast-Slow Architecture Integrating Large Language Model Guidance with Reinforcement Learning2025/5/1
- Seeking to Collide: Online Safety-Critical Scenario Generation for Autonomous Driving with Retrieval Augmented Large Language Models2025/5/1
- Robust Offline Imitation Learning Through State-level Trajectory Stitching2025/3/1
- Interact, Instruct to Improve: A LLM-Driven Parallel Actor-Reasoner Framework for Enhancing Autonomous Vehicle Interactions2025/3/1
- A Vehicle-Infrastructure Multi-layer Cooperative Decision-making Framework2025/3/1
- OnSiteVRU: A High-Resolution Trajectory Dataset for High-Density Vulnerable Road Users2025/3/1
- TeLL-Drive: Enhancing Autonomous Driving with Teacher LLM-Guided Deep Reinforcement Learning2025/2/1
- CT-UIO: Continuous-Time UWB-Inertial-Odometer Localization Using Non-Uniform B-spline with Fewer Anchors2025/2/1
- LLM-attacker: Enhancing Closed-loop Adversarial Scenario Generation for Autonomous Driving with Large Language Models2025/1/1
- LAMBDA: Covering the Multimodal Critical Scenarios for Automated Driving Systems by Search Space Quantization2024/12/1
- InterHub: A Naturalistic Trajectory Dataset with Dense Interaction for Autonomous Driving2024/11/1
- Language-Driven Policy Distillation for Cooperative Driving in Multi-Agent Reinforcement Learning2024/10/1
- Cooperative Decision-Making for CAVs at Unsignalized Intersections: A MARL Approach with Attention and Hierarchical Game Priors2024/9/1
- Towards Interactive and Learnable Cooperative Driving Automation: a Large Language Model-Driven Decision-Making Framework2024/9/1
- MAPPO-PIS: A Multi-Agent Proximal Policy Optimization Method with Prior Intent Sharing for CAVs' Cooperative Decision-Making2024/8/1
- Flow to Rare Events: An Application of Normalizing Flow in Temporal Importance Sampling for Automated Vehicle Validation2024/7/1
- High-Dimensional Fault Tolerance Testing of Highly Automated Vehicles Based on Low-Rank Models2024/7/1
- Time-optimal Flight in Cluttered Environments via Safe Reinforcement Learning2024/6/1
- Towards Interactive Autonomous Vehicle Testing: Vehicle-Under-Test-Centered Traffic Simulation2024/6/1
- A Decision-Making GPT Model Augmented with Entropy Regularization for Autonomous Vehicles2024/6/1
- Evaluation of Drivers' Interaction Ability at Social Scenarios: A Process-Based Framework2024/5/1
- Delay-Aware Multi-Agent Reinforcement Learning for Cooperative Adaptive Cruise Control with Model-based Stability Enhancement2024/4/1
- DDM-Lag : A Diffusion-based Decision-making Model for Autonomous Vehicles with Lagrangian Safety Enhancement2024/1/1
- Learning Hybrid Policies for MPC with Application to Drone Flight in Unknown Dynamic Environments2024/1/1
- Enhancing Social Decision-Making of Autonomous Vehicles: A Mixed-Strategy Game Approach With Interaction Orientation Identification2023/12/1
- Towards Socially Responsive Autonomous Vehicles: A Reinforcement Learning Framework with Driving Priors and Coordination Awareness2023/9/1
- Human-Like Implicit Intention Expression for Autonomous Driving Motion Planning: A Method Based on Learning Human Intention Priors2023/7/1
- MTD-GPT: A Multi-Task Decision-Making GPT Model for Autonomous Driving at Unsignalized Intersections2023/7/1
- Measuring Sociality in Driving Interaction2023/6/1
- Efficient and Robust Time-Optimal Trajectory Planning and Control for Agile Quadrotor Flight2023/5/1
- Time-attenuating Twin Delayed DDPG Reinforcement Learning for Trajectory Tracking Control of Quadrotors2023/2/1
- Towards Self-Supervised Category-Level Object Pose and Size Estimation2022/3/1
- FS6D: Few-Shot 6D Pose Estimation of Novel Objects2022/3/1
- FFB6D: A Full Flow Bidirectional Fusion Network for 6D Pose Estimation2021/3/1
- A real-time multi-constraints obstacle avoidance method using LiDAR2020/6/1
- PVN3D: A Deep Point-wise 3D Keypoints Voting Network for 6DoF Pose Estimation2019/11/1
- Deep Residual Learning for Image Recognition2016/6/1