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Cited by 396

The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.

Scalable Monocular SLAM

Eade, E., Drummond, T.·2006·2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1 (CVPR'06)

Abstract

Localization and mapping in unknown environments becomes more difficult as the complexity of the environment increases. With conventional techniques, the cost of maintaining estimates rises rapidly with the number of landmarks mapped. We present a monocular SLAM system that employs a particle filter and top-down search to allow realtime performance while mapping large numbers of landmarks. To our knowledge, we are the first to apply this FastSLAM-type particle filter to single-camera SLAM. We also introduce a novel partial initialization procedure that efficiently determines the depth of new landmarks. Moreover, we use information available in observations of new landmarks to improve camera pose estimates. Results show the system operating in real-time on a standard workstation while mapping hundreds of landmarks.

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Metadata

Authors
Eade, E., & Drummond, T.
Venue
2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1 (CVPR'06)
Publisher
IEEE
Published
2006-07-10
Volume
1
Pages
469-476
ISSN
1063-6919 (ISSN-L)
OpenAlex
W2171778162
Cited by
396
References
22
FWCI
71.30
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Scalable Monocular SLAM. https://app.cochat.ai/papers/10.1109/cvpr.2006.263
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Eade, E., & Drummond, T. (2006). Scalable Monocular SLAM. 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1 (CVPR'06). https://doi.org/10.1109/cvpr.2006.263

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