Abstract | ||
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This paper presents a semantic planar SLAM system that improves pose estimation and mapping using cues from an instance planar segmentation network. While the mainstream approaches are using RGB-D sensors, employing a monocular camera with such a system still faces challenges such as robust data association and precise geometric model fitting. In the majority of existing work, geometric model esti... |
Year | DOI | Venue |
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2021 | 10.1109/ISMAR-Adjunct54149.2021.00042 | 2021 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct) |
Keywords | DocType | ISSN |
Computing methodologies,Artificial intelligence,Computer vision,Computer vision tasks,Vision for robotics | Conference | 1554-7868 |
ISBN | Citations | PageRank |
978-1-6654-1298-8 | 0 | 0.34 |
References | Authors | |
0 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Fangwen Shu | 1 | 0 | 1.01 |
Yaxu Xie | 2 | 0 | 1.35 |
Jason Rambach | 3 | 0 | 0.68 |
Alain Pagani | 4 | 5 | 3.57 |
Didier Stricker | 5 | 1266 | 138.03 |