LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping論文解讀
文章目錄 abstract 一、Introduction 1.1 LOAM的缺點： 1.2 LIO-SAM的改進： 二、Related Work 三、LIDAR INERTIAL ODOMETRY VIA SMOOTHING AND MAPPING（實際工作） A. 符號約定和文章綜述 B IMU預積分因子 C. 激光里程計因子 D. GPS因子 E. 閉環因子 打賞 支付寶 微信 abstrac
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相關文章
- 1. LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping.md
- 2. 論文閱讀LR LIO-SAM
- 3. DeepLO:Geometry-Aware Deep LiDAR Odometry 2019 論文筆記
- 4. 【論文筆記】LiDAR and Camera Calibration using Motion Estimated by Sensor Fusion Odometry
- 5. LIMO: Lidar-Monocular Visual Odometry
- 6. 論文解讀 | Pose-Robust Face Recognition via Deep Residual Equivariant Mapping
- 7. 論文《FLAME:Feature-Likeilhood Based Mapping and Localization for Autonomous Vehicles》閱讀總結
- 8. 論文翻譯：Keyframe-Based Visual-Inertial Odometry Using Nonlinear Optimization
- 9. CNN for IMU Assisted Odometry Estimation usingVelodyne LiDAR 論文筆記
- 10. ICRA2018 SLAM論文