Sikai Chen

収録論文 24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

• Geometry-Aware Infrastructure-Anchored Denoiser for UWB Sensing and Work-Zone Reconstruction
  2026/7/1
• DBPnet: Damper Characteristics-Based Bayesian Physics-Informed Neural Network for Wheel Load Estimation
  2026/5/1
• V2X-QA: A Comprehensive Reasoning Dataset and Benchmark for Multimodal Large Language Models in Autonomous Driving Across Ego, Infrastructure, and Cooperative Views
  2026/4/1
• Sim2Real-AD: A Modular Sim-to-Real Framework for Deploying VLM-Guided Reinforcement Learning in Real-World Autonomous Driving
  2026/4/1
• CrashSight: A Phase-Aware, Infrastructure-Centric Video Benchmark for Traffic Crash Scene Understanding and Reasoning
  2026/4/1
• LLM-MLFFN: Multi-Level Autonomous Driving Behavior Feature Fusion via Large Language Model
  2026/3/1
• DriveVLM-RL: Neuroscience-Inspired Reinforcement Learning with Vision-Language Models for Safe and Deployable Autonomous Driving
  2026/3/1
• XR-DT: Extended Reality-Enhanced Digital Twin for Safe Motion Planning via Human-Aware Model Predictive Path Integral Control
  2025/12/1
• SMART: Scalable Multi-Agent Reasoning and Trajectory Planning in Dense Environments
  2025/9/1
• A Survey on Vision-Language-Action Models for Autonomous Driving
  2025/6/1
• VLM-SAFE: Vision-Language Model-Guided Safety-Aware Reinforcement Learning with World Models for Autonomous Driving
  2025/5/1
• Sky-Drive: A Distributed Multi-Agent Simulation Platform for Human-AI Collaborative and Socially-Aware Future Transportation
  2025/4/1
• CurricuVLM: Towards Safe Autonomous Driving via Personalized Safety-Critical Curriculum Learning with Vision-Language Models
  2025/2/1
• VLM-RL: A Unified Vision Language Models and Reinforcement Learning Framework for Safe Autonomous Driving
  2024/12/1
• Trustworthy Human-AI Collaboration: Reinforcement Learning with Human Feedback and Physics Knowledge for Safe Autonomous Driving
  2024/9/1
• Crossfusor: A Cross-Attention Transformer Enhanced Conditional Diffusion Model for Car-Following Trajectory Prediction
  2024/6/1
• HAIM-DRL: Enhanced Human-in-the-loop Reinforcement Learning for Safe and Efficient Autonomous Driving
  2024/1/1
• PFL-LSTR: A privacy-preserving framework for driver intention inference based on in-vehicle and out-vehicle information
  2023/9/1
• Deep Reinforcement Learning Based Framework for Mobile Energy Disseminator Dispatching to Charge On-the-Road Electric Vehicles
  2023/8/1
• Transfusor: Transformer Diffusor for Controllable Human-like Generation of Vehicle Lane Changing Trajectories
  2023/8/1
• CV2X-LOCA: Roadside Unit-Enabled Cooperative Localization Framework for Autonomous Vehicles
  2023/4/1
• EPG-MGCN: Ego-Planning Guided Multi-Graph Convolutional Network for Heterogeneous Agent Trajectory Prediction
  2023/3/1
• Using UAVs for vehicle tracking and collision risk assessment at intersections
  2021/10/1
• Addressing crash-imminent situations caused by human driven vehicle errors in a mixed traffic stream: a model-based reinforcement learning approach for CAV
  2021/10/1