CNN for IMU Assisted Odometry Estimation usingVelodyne LiDAR 論文筆記
論文將三維點雲編碼成2維矩陣,使用CNN對其進行特徵提取和後續處理. 類似的方法在其之前的工作中被用於ground segmentation 以及 vehicle detection： 《M. Velas, M. Spanel, M. Hradis, and A. Herout, 「CNN for very fastground segmentation in Velodyne lidar dat
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相關文章
- 1. DeepLO:Geometry-Aware Deep LiDAR Odometry 2019 論文筆記
- 2. 【VINS論文筆記】A General Optimization-based Framework for Local Odometry Estimation with Multiple Sensors
- 3. LO-Net:Deep Real-time Lidar Odometry激光里程計 2019 論文筆記
- 4. 【論文筆記】LiDAR and Camera Calibration using Motion Estimated by Sensor Fusion Odometry
- 5. 【論文筆記】CNN for NLP
- 6. 每天一篇論文 290/300 Deep Sensor Fusion for Real-Time Odometry Estimation
- 7. LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping論文解讀
- 8. LIMO: Lidar-Monocular Visual Odometry
- 9. CNN論文筆記
- 10. LIDAR and Monocular Camera Fusion: On-road Depth Completion for Autonomous Driving 論文筆記