Jiarong Lin

収録論文 20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

• Mesh-Learner: Texturing Mesh with Spherical Harmonics
  2025/4/1
• GS-SDF: LiDAR-Augmented Gaussian Splatting and Neural SDF for Geometrically Consistent Rendering and Reconstruction
  2025/3/1
• An End-to-End Learning-Based Multi-Sensor Fusion for Autonomous Vehicle Localization
  2025/3/1
• Voxel-SLAM: A Complete, Accurate, and Versatile LiDAR-Inertial SLAM System
  2024/10/1
• LVBA: LiDAR-Visual Bundle Adjustment for RGB Point Cloud Mapping
  2024/9/1
• Visual Localization in 3D Maps: Comparing Point Cloud, Mesh, and NeRF Representations
  2024/8/1
• FAST-LIVO2: Fast, Direct LiDAR-Inertial-Visual Odometry
  2024/8/1
• Occupancy Grid Mapping without Ray-Casting for High-resolution LiDAR Sensors
  2023/7/1
• ImMesh: An Immediate LiDAR Localization and Meshing Framework
  2023/1/1
• MARSIM: A light-weight point-realistic simulator for LiDAR-based UAVs
  2022/11/1
• STD: Stable Triangle Descriptor for 3D place recognition
  2022/9/1
• R$^3$LIVE++: A Robust, Real-time, Radiance reconstruction package with a tightly-coupled LiDAR-Inertial-Visual state Estimator
  2022/9/1
• Fast 3D Sparse Topological Skeleton Graph Generation for Mobile Robot Global Planning
  2022/8/1
• R3LIVE: A Robust, Real-time, RGB-colored, LiDAR-Inertial-Visual tightly-coupled state Estimation and mapping package
  2021/9/1
• FAST-LIO2: Fast Direct LiDAR-inertial Odometry
  2021/7/1
• R2LIVE: A Robust, Real-time, LiDAR-Inertial-Visual tightly-coupled state Estimator and mapping
  2021/2/1
• A decentralized framework for simultaneous calibration, localization and mapping with multiple LiDARs
  2020/7/1
• A fast, complete, point cloud based loop closure for LiDAR odometry and mapping
  2019/9/1
• Loam_livox: A fast, robust, high-precision LiDAR odometry and mapping package for LiDARs of small FoV
  2019/9/1
• Flying through a narrow gap using neural network: an end-to-end planning and control approach
  2019/3/1