Visual simultaneous localization and mapping: a survey
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The challenge with autonomous navigation of mobile robots is categorized into three principal areas: localization, mapping, and path planning.
“The challenge with autonomous navigation of mobile robots is categorized into three principal areas: localization, mapping, and path planning [189].”
From Applications and Challenges of Artificial Intelligence in Space Missions (2024) · cites this paper as [189]
Cites
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“When cameras are employed as the only exteroceptive sensor, it is called visual SLAM [188].”
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- Authors
- Fuentes-Pacheco, J., Ruiz-Ascencio, J., & Rendón-Mancha, J. M.
- Affiliations
- Centro Nacional de Investigación y Desarrollo Tecnológico (MX)
- Universidad Autónoma del Estado de Morelos (MX)
- Corresponding author
- Ruiz-Ascencio, José
- Venue
- Artificial Intelligence Review
- Published
- 2012-11-13
- Volume
- 43
- Issue
- 1
- Pages
- 55-81
- ISSN
- 0269-2821 (ISSN-L)
- 1573-7462
- OpenAlex
- W1979266466
- Cited by
- 883
- References
- 16
- Citations by year
- 2026: 25 · 2025: 58 · 2024: 62 · 2023: 81 · 2022: 114 · 2021: 107 · 2020: 114 · 2019: 105 · 2018: 77 · 2017: 74 · 2016: 36 · 2015: 24 · 2014: 5 · 2013: 1
- FWCI
- 16.14
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Artificial Intelligence Review (publishedVersion)
- Topics
- Physical Sciences › Engineering › Aerospace Engineering › Robotics and Sensor-Based Localization
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Image and Video Retrieval Techniques
- Physical Sciences › Earth and Planetary Sciences › Geology › 3D Surveying and Cultural Heritage
- Keywords
- visual SLAM, SLAM, robot localization, 3D mapping, feature detection, feature matching, image recognition, image retrieval, autonomous robots, dynamic environments, large-scale environments
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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