paperreading2 ORB-SLAM2：Monocular ,Strreo,and RGB-D Cameras
全稱：ORB-SLAM2: An Open-Source SLAM System for Monocular, Stereo, and RGB-D Cameras 摘要： 本文提出一個完整的同時定位於建圖SLAM系統，用於單目，雙目和深度相機，包括地圖重用，迴環檢測，重定位。 後端，基於單目和雙目觀測的BA，得到精確的軌跡估計。 輕量級定位模式，利用未建圖的區域視覺測距軌跡，並與允許零漂移定位的地
相關文章
- 1. ORB-SLAM2: an Open-Source SLAM System for Monocular, Stereo and RGB-D Cameras(論文源碼解讀)
- 2. ORB-SLAM2: an Open-Source SLAM System for Monocular, Stereo and RGB-D Cameras
- 3. 景深 | Depth from Videos in the Wild: Unsupervised Monocular Depth Learning from Unknown Cameras
- 4. Depth from Videos in the Wild：Unsupervised Monocular Depth Learning from Unknown Cameras
- 5. indoor segmentation and support inference from rgbd images
- 6. orbslam2 RGBD實驗記錄(四) ORBSLAM2通過單目、RGBD跑TUM數據集
- 7. CVPR 2019之RGBD顯著性檢測：Contrast Prior and Fluid Pyramid Integration for RGBD Salient Object Detection
- 8. REAL-TIME MONOCULAR VISUAL SLAM BY COMBINING POINTS AND LINES
- 9. 閱讀《A Survey of Monocular Simultaneous Localization and Mapping》
- 10. PaperReading2-Pyramid Attention Network for Semantic Segmentation
- 更多相關文章...
- • W3C RDF and OWL 活動 - W3C 教程
- • XSL-FO table-and-caption 對象 - XSL-FO 教程
- • RxJava操作符（七）Conditional and Boolean
- • 算法總結-股票買賣
相關標籤/搜索
每日一句
-
每一个你不满意的现在，都有一个你没有努力的曾经。
歡迎關注本站公眾號,獲取更多信息
相關文章
- 1. ORB-SLAM2: an Open-Source SLAM System for Monocular, Stereo and RGB-D Cameras(論文源碼解讀)
- 2. ORB-SLAM2: an Open-Source SLAM System for Monocular, Stereo and RGB-D Cameras
- 3. 景深 | Depth from Videos in the Wild: Unsupervised Monocular Depth Learning from Unknown Cameras
- 4. Depth from Videos in the Wild：Unsupervised Monocular Depth Learning from Unknown Cameras
- 5. indoor segmentation and support inference from rgbd images
- 6. orbslam2 RGBD實驗記錄(四) ORBSLAM2通過單目、RGBD跑TUM數據集
- 7. CVPR 2019之RGBD顯著性檢測：Contrast Prior and Fluid Pyramid Integration for RGBD Salient Object Detection
- 8. REAL-TIME MONOCULAR VISUAL SLAM BY COMBINING POINTS AND LINES
- 9. 閱讀《A Survey of Monocular Simultaneous Localization and Mapping》
- 10. PaperReading2-Pyramid Attention Network for Semantic Segmentation