Semantic-Guided Point Cloud Upsampling Method for Visual Localization
Author:
Affiliation:
1. Harbin Institute of Technology,School of Electronics and Information Engineering,Harbin,China
2. Heilongjiang University,School of Electronics Engineering,Harbin,China
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10430415/10430497/10430860.pdf?arnumber=10430860
Reference12 articles.
1. A fast visual map building method using video stream for visual-based indoor localization
2. The Comparison between FTF-VO and MF-VO for High Accuracy Mobile Robot Localization
3. Portable 3D visual sensor based indoor localization on mobile device
4. Fast 3D Map Reconstruction Using Dense Visual Simultaneous Localization and Mapping Based on Unmanned Aerial Vehicle
5. Visual Localization Using Sparse Semantic 3D Map
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