A visual SLAM algorithm based on fuzzy clustering for removing dynamic features
A visual SLAM algorithm based on fuzzy clustering for removing dynamic features
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Publisher
Toronto: NRC Research Press
Journal title
Language
English
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Publisher
Toronto: NRC Research Press
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Scope and Contents
Contents
Most visual simultaneous localization and mapping (SLAM) algorithms assume that no or only few moving objects occur in application environments. This assumption makes the algorithms vulnerable to the interference of moving objects in dynamic environments. To address the problem, a new visual SLAM method, which could eliminate dynamic features witho...
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Full title
A visual SLAM algorithm based on fuzzy clustering for removing dynamic features
Authors, Artists and Contributors
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TN_cdi_proquest_journals_2861885598
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2861885598
Other Identifiers
ISSN
0315-8977
E-ISSN
0315-8977
DOI
10.1139/tcsme-2022-0090
