Visual Simultaneous Mapping is a computational framework within markerless augmented reality that enables real-time estimation of camera pose and reconstruction of the surrounding environment solely through visual input, distinguishing itself by jointly solving the problems of localization and mapping without reliance on artificial markers or prior environmental knowledge.
111
Publications
6.5K
Citations
404
Authors
145
Institutions
Publications per year
2017–2026
68
Parents
Publications
111
A survey of state-of-the-art on visual SLAM
Iman Abaspur Kazerouni, Luke Fitzgerald, Gerard Dooly et al. · Expert Systems with Applications · 2022 · 349 citations · Full text
The vSLAM Algorithm for Robust Localization and Mapping
Niklas Karlsson, Enrico Bernardo, James Ostrowski et al. · 2006 · 311 citations
1–5 of 111
Authors
404
- NK
3
h-index
- DW
3
h-index
- LG
3
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- JO
3
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- IR
3
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1–5 of 404
Institutions
145
Chinese Academy of Sciences
Beijing, China
7 h-index
17 publications
368 citations
University of Oxford
Oxford, United Kingdom
5 h-index
14 publications
876 citations
University of Chinese Academy of Sciences
Beijing, China
5 h-index
12 publications
296 citations
Shandong Institute of Automation
Jinan, China
5 h-index
10 publications
256 citations
The University of Sydney
Sydney, Australia
3 h-index
7 publications
146 citations
Beijing Academy of Artificial Intelligence
Beijing, China
3 h-index
13 publications
367 citations
Tongji University
Shanghai, China
3 h-index
17 publications
453 citations
ETH Zurich
Zurich, Switzerland
3 h-index
7 publications
168 citations
1–8 of 145
Venues
- Sensors
6 publications · 191 citations
6
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- IEEE Sensors Journal
4 publications · 133 citations
4
h-index
- IEEE Transactions on Instrumentation and Measurement
4 publications · 106 citations
4
h-index
- The International Journal of Robotics Research
IJRR · 3 publications · 767 citations
3
h-index
- arXiv (Cornell University)
Repository · 3 publications · 116 citations
3
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1–5