Monocular Visual Slam
Monocular Visual SLAM is a visual simultaneous localization and mapping framework that estimates a camera’s trajectory and reconstructs the three-dimensional environment using imagery from a single moving camera, distinguished from other visual SLAM approaches by relying solely on monocular input without additional sensors or prior depth information.
219
Publications
14.2K
Citations
638
Authors
213
Institutions
Publications per year
2017–2026
114
Variants
Monocular V-slam
Parents
219
PL-SLAM: Real-time monocular visual SLAM with points and lines
Albert Pumarola, Alexander Vakhitov, Antonio Agudo et al. · 2017 · 482 citations · Full text
Hidenobu Matsuki, Riku Murai, Paul H. J. Kelly et al. · 2024 · 349 citations
Camera-based navigation of a low-cost quadrocopter
Jakob Engel, Jürgen Sturm, Daniel Cremers · 2012 · 346 citations
1–5 of 219
638
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213
Universidad de Zaragoza
Zaragoza, Spain
15 h-index
40 publications
5.7K citations

Imperial College London
London, United Kingdom
8 h-index
20 publications
2.1K citations
ETH Zurich
Zurich, Switzerland
8 h-index
30 publications
2.5K citations

Centre National de la Recherche Scientifique
Paris, France
8 h-index
19 publications
1.5K citations
University of Oxford
Oxford, United Kingdom
8 h-index
18 publications
2.7K citations

Chinese Academy of Sciences
Beijing, China
7 h-index
25 publications
2.1K citations
Technical University of Munich
Munich, Germany
7 h-index
24 publications
3.2K citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
6 h-index
13 publications
382 citations
1–8 of 213
13 publications · 398 citations
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Repository · 9 publications · 640 citations
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7 publications · 938 citations
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7 publications · 454 citations
6
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5 publications · 653 citations
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