Online Object Detection and Localization on Stereo Visual SLAM System
基於立體視覺SLAM系統的在線目標檢測與定位 1. 介紹 2. 方法 2.1 RCNN模塊（目標檢測） 2.2 S-PTAM+Object Mapping 3. 實驗 1. 介紹 開發了一個SLAM系統，該系統建立在基於特徵的雙目SLAM系統 S-PTAM的基礎上，與一個神經網絡相結合，神經網絡是對更快的R-CNN網絡進行修改和擴展，將神經網絡擴展到估計每個被檢測對象的方向和尺寸，以及類和boun
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相關文章
- 1. Localization and Object Detection
- 2. Dynamic-SLAM: Semantic monocular visual localization and mapping based on deep learning
- 3. Stereo Plane SLAM Based on Intersecting Lines
- 4. 泡泡一分鐘：FMD Stereo SLAM: Fusing MVG and Direct Formulation Towards Accurate and Fast Stereo SLAM
- 5. (Review cs231n) Spatial Localization and Detection（classification and localization）
- 6. [SLAM] 01. "Simultaneous Localization and Mapping"
- 7. Stereo Parallel Tracking and Mapping for robot localization（S-PTAM）
- 8. Pelee: A real-time object detection system on mobile devices
- 9. Pelee：A Real-Time Object Detection System On Mobile Devices
- 10. 人工智能 | SLAM、視覺里程計、VIO、Net-SLAM、激光SLAM、語義SLAM、數據集（ state-of-the-art）