Changhao Chen

収録論文 30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

• Efficient Feature-Free Initialization for Monocular Visual-Inertial Systems Using a Feed-Forward 3D Model
  2026/5/1
• FreeOcc: Training-Free Embodied Open-Vocabulary Occupancy Prediction
  2026/4/1
• REAL: Robust Extreme Agility via Spatio-Temporal Policy Learning and Physics-Guided Filtering
  2026/3/1
• SaferPath: Hierarchical Visual Navigation with Learned Guidance and Safety-Constrained Control
  2026/3/1
• LST-SLAM: A Stereo Thermal SLAM System for Kilometer-Scale Dynamic Environments
  2026/2/1
• PanoNav: Mapless Zero-Shot Object Navigation with Panoramic Scene Parsing and Dynamic Memory
  2025/11/1
• X-IONet: Cross-Platform Inertial Odometry Network for Pedestrian and Legged Robot
  2025/11/1
• DynaNav: Dynamic Feature and Layer Selection for Efficient Visual Navigation
  2025/9/1
• Sensing, Social, and Motion Intelligence in Embodied Navigation: A Comprehensive Survey
  2025/8/1
• SLAM in the Dark: Self-Supervised Learning of Pose, Depth and Loop-Closure from Thermal Images
  2025/2/1
• ConcertoRL: An Innovative Time-Interleaved Reinforcement Learning Approach for Enhanced Control in Direct-Drive Tandem-Wing Vehicles
  2024/5/1
• DK-SLAM: Monocular Visual SLAM with Deep Keypoint Learning, Tracking and Loop-Closing
  2024/1/1
• ReLoc-PDR: Visual Relocalization Enhanced Pedestrian Dead Reckoning via Graph Optimization
  2023/9/1
• Drone-NeRF: Efficient NeRF Based 3D Scene Reconstruction for Large-Scale Drone Survey
  2023/8/1
• Deep Learning for Inertial Positioning: A Survey
  2023/3/1
• SelfOdom: Self-supervised Egomotion and Depth Learning via Bi-directional Coarse-to-Fine Scale Recovery
  2022/11/1
• EMA-VIO: Deep Visual-Inertial Odometry with External Memory Attention
  2022/9/1
• A Survey on Deep Learning for Localization and Mapping: Towards the Age of Spatial Machine Intelligence
  2020/6/1
• milliEgo: Single-chip mmWave Radar Aided Egomotion Estimation via Deep Sensor Fusion
  2020/6/1
• PointLoc: Deep Pose Regressor for LiDAR Point Cloud Localization
  2020/3/1
• Deep Learning based Pedestrian Inertial Navigation: Methods, Dataset and On-Device Inference
  2020/1/1
• Learning Selective Sensor Fusion for States Estimation
  2019/12/1
• DeepPCO: End-to-End Point Cloud Odometry through Deep Parallel Neural Network
  2019/10/1
• DeepTIO: A Deep Thermal-Inertial Odometry with Visual Hallucination
  2019/9/1
• DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction
  2019/8/1
• Selective Sensor Fusion for Neural Visual-Inertial Odometry
  2019/3/1
• Learning with Stochastic Guidance for Navigation
  2018/11/1
• Transferring Physical Motion Between Domains for Neural Inertial Tracking
  2018/10/1
• OxIOD: The Dataset for Deep Inertial Odometry
  2018/9/1
• IONet: Learning to Cure the Curse of Drift in Inertial Odometry
  2018/2/1