EAO-SLAM: Monocular Semi-Dense Object SLAM Based on Ensemble Data Association
數據關聯 非參數測試 非參數測試如3(a)所示，通過考察兩祖點雲分佈是否一致，來判斷同一幀上的兩組點雲是否屬於同一個物體。 單樣本和雙樣本的T測試 單樣本和雙樣本的T測試分別用於判斷一幀上的點雲是否屬於之前觀察到的某個物體，和觀察到的兩個物體是否需要合併。 物體SLAM 將物體建模爲立方體或者橢圓，依次計算和優化重心，尺度以及角度。
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相關文章
- 1. EAO-SLAM: Monocular Semi-Dense Object SLAM Based on Ensemble Data Association
- 2. Hand-held Monocular SLAM Based on Line Segments
- 3. Point-based Semantic Monocular SLAM
- 4. Dynamic-SLAM: Semantic monocular visual localization and mapping based on deep learning
- 5. Stereo Plane SLAM Based on Intersecting Lines
- 6. TerrainFusion: Real-time Digital Surface Model Reconstruction based on Monocular SLAM
- 7. CubeSLAM: Monocular 3-D Object SLAM 論文筆記
- 8. 單目3D物體級SLAM | CubeSLAM: Monocular 3D Object SLAM
- 9. Object-based Semantic SLAM: MID-Fusion
- 10. 每天一篇論文微習慣 279/365 CubeSLAM: Monocular 3D Object SLAM