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Journal article

Visual SLAM and structure from motion in dynamic environments

Abstract:

In the last few decades, Structure from Motion (SfM) and visual Simultaneous Localization and Mapping (visual SLAM) techniques have gained significant interest from both the computer vision and robotic communities. Many variants of these techniques have started to make an impact in a wide range of applications, including robot navigation and augmented reality. However, despite some remarkable results in these areas, most SfM and visual SLAM techniques operate based on the assumption that the ...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1145/3177853

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Institution:
University of Oxford
Division:
MPLS Division
Department:
Computer Science
Oxford college:
Kellogg College
Role:
Author
ORCID:
0000-0001-5716-3941
Publisher:
Association for Computing Machinery Publisher's website
Journal:
ACM Computing Surveys Journal website
Volume:
51
Issue:
2
Article number:
37
Publication date:
2018-06-02
DOI:
EISSN:
1557-7341
ISSN:
0360-0300
Source identifiers:
829795
Language:
English
Keywords:
Pubs id:
pubs:829795
UUID:
uuid:13c4132e-6a15-4b36-8a85-8cb62b98f42e
Local pid:
pubs:829795
Deposit date:
2019-08-23

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