Scan Context: Egocentric Spatial Descriptor for Place Recognition within 3D Point Cloud Map
文章目錄 1、摘要 2、步驟 2.1 以激光原點爲中心，均勻劃分周圍空間 1、摘要 https://mp.weixin.qq.com/s/J1pVixk0rY_hxtDq4ry1JQ 2、步驟 2.1 以激光原點爲中心，均勻劃分周圍空間 we first divide a 3D scan into azimuthal(方位的) and radial(徑向的) bins in the sensor
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相關文章
- 1. Scan Context: Egocentric Spatial Descriptor for Place Recognition within 3D Point Cloud Map
- 2. Scan Context Image論文閱讀
- 3. SegMatch: Segment based place recognition in 3D point clouds
- 4. Point Cloud 2019
- 5. 激光閉環檢測Scancontext閱讀筆記
- 6. 讀論文 3D Point Cloud Classification using 3D Modified Fisher Vector Representation for CNN
- 7. 3D Recurrent Neural Networks with Context Fusion for Point Cloud Semantic Segmentation[ECCV2018]
- 8. 3d fully convolutional network for vehicle detection in point cloud
- 9. [place recognition]NetVLAD: CNN architecture for weakly supervised place recognition 論文翻譯及解析（轉）...
- 10. 【論文整理】Point Cloud Dataset