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The Oxford multimotion dataset: multiple SE(3) motions with ground truth

Abstract:

Datasets advance research by posing challenging new problems and providing standardized methods of algorithm comparison. High-quality datasets exist for many important problems in robotics and computer vision, including egomotion estimation and motion/scene segmentation, but not for techniques that estimate every motion in a scene. Metric evaluation of these multimotion estimation techniques requires datasets consisting of multiple, complex motions that also contain ground truth for every mov...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Accepted Manuscript

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Publisher copy:
10.1109/lra.2019.2892656

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Institution:
University of Oxford
Division:
MPLS Division
Department:
Engineering Science
Oxford college:
Somerville College
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Engineering Science
ORCID:
0000-0002-1034-3889
Publisher:
Institute of Electrical and Electronics Engineers Publisher's website
Journal:
IEEE Robotics and Automation Letters Journal website
Volume:
4
Issue:
2
Pages:
800-807
Publication date:
2019-01-11
Acceptance date:
2018-12-20
DOI:
ISSN:
2377-3774
Pubs id:
pubs:963759
URN:
uri:e5d98f14-5a43-4af6-b704-ee2d1a532164
UUID:
uuid:e5d98f14-5a43-4af6-b704-ee2d1a532164
Local pid:
pubs:963759

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