Kun Jiang

収録論文 31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

• nuTruck: Benchmarking Autonomous Driving Planning for Distributed Electric-drive Trucks
  2026/7/1
• FUSE: A Framework for Unified State Estimation in Vehicular and Robotic SLAM Systems
  2026/5/1
• 4DLidarOpen: An Open 4D FMCW Lidar Dataset for Motion-Aware Autonomous Driving
  2026/5/1
• XEmbodied: A Foundation Model with Enhanced Geometric and Physical Cues for Large-Scale Embodied Environments
  2026/4/1
• Physics-informed Deep Mixture-of-Koopmans Vehicle Dynamics Model with Dual-branch Encoder for Distributed Electric-drive Trucks
  2026/3/1
• LSRE: Latent Semantic Rule Encoding for Real-Time Semantic Risk Detection in Autonomous Driving
  2025/12/1
• DTCCL: Disengagement-Triggered Contrastive Continual Learning for Autonomous Bus Planners
  2025/12/1
• Are All Data Necessary? Efficient Data Pruning for Large-scale Autonomous Driving Dataset via Trajectory Entropy Maximization
  2025/12/1
• MTRDrive: Memory-Tool Synergistic Reasoning for Robust Autonomous Driving in Corner Cases
  2025/9/1
• Multimodal HD Mapping for Intersections by Intelligent Roadside Units
  2025/7/1
• A Survey on Vision-Language-Action Models for Autonomous Driving
  2025/6/1
• AgentThink: A Unified Framework for Tool-Augmented Chain-of-Thought Reasoning in Vision-Language Models for Autonomous Driving
  2025/5/1
• CleanMAP: Distilling Multimodal LLMs for Confidence-Driven Crowdsourced HD Map Updates
  2025/4/1
• A Benchmark for Vision-Centric HD Mapping by V2I Systems
  2025/3/1
• RAVE: End-to-end Hierarchical Visual Localization with Rasterized and Vectorized HD map
  2025/3/1
• FASIONAD++ : Integrating High-Level Instruction and Information Bottleneck in FAt-Slow fusION Systems for Enhanced Safety in Autonomous Driving with Adaptive Feedback
  2025/3/1
• Advancing Autonomous Vehicle Intelligence: Deep Learning and Multimodal LLM for Traffic Sign Recognition and Robust Lane Detection
  2025/3/1
• Dynamically Local-Enhancement Planner for Large-Scale Autonomous Driving
  2025/2/1
• Residual Learning towards High-fidelity Vehicle Dynamics Modeling with Transformer
  2025/2/1
• How Cars Move: Analyzing Driving Dynamics for Safer Urban Traffic
  2024/12/1
• FASIONAD : FAst and Slow FusION Thinking Systems for Human-Like Autonomous Driving with Adaptive Feedback
  2024/11/1
• High Definition Map Mapping and Update: A General Overview and Future Directions
  2024/9/1
• Multi-Agent Reinforcement Learning for Connected and Automated Vehicles Control: Recent Advancements and Future Prospects
  2023/12/1
• A Survey on Monocular Re-Localization: From the Perspective of Scene Map Representation
  2023/11/1
• Dynamically Conservative Self-Driving Planner for Long-Tail Cases
  2023/5/1
• Identify, Estimate and Bound the Uncertainty of Reinforcement Learning for Autonomous Driving
  2023/5/1
• Poses as Queries: Image-to-LiDAR Map Localization with Transformers
  2023/5/1
• Grid-Centric Traffic Scenario Perception for Autonomous Driving: A Comprehensive Review
  2023/3/1
• Map Container: A Map-based Framework for Cooperative Perception
  2022/8/1
• PandaSet: Advanced Sensor Suite Dataset for Autonomous Driving
  2021/12/1
• Monocular Vehicle Self-localization method based on Compact Semantic Map
  2018/5/1