Appearance-invariant place recognition by adversarially learning disentangled representation
- Submitting institution
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University of Ulster
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 85783163
- Type
- D - Journal article
- DOI
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10.1016/j.robot.2020.103561
- Title of journal
- Robotics and Autonomous Systems
- Article number
- 103561
- First page
- -
- Volume
- 131
- Issue
- -
- ISSN
- 0921-8890
- Open access status
- Compliant
- Month of publication
- May
- Year of publication
- 2020
- URL
-
-
- Supplementary information
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- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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5
- Research group(s)
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A - Intelligent Systems Research Centre
- Citation count
- 1
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- <26> This paper is an output from the ongoing collaboration between the Intelligent System Research Centre and the Faculty of Robot Science and Engineering, North Eastern University, Shenyang, China. This paper resulted in Dr Kerr being appointed as a Joint Postgraduate Tutor at NEU, supervising Cao Qin’s PhD project. This paper to the following recently accepted paper: DOI: 10.1016/j.neucom.2021.01.010 and The research also underpinned a recently awarded PhD CAST/CASE studentship with Metro Surveillance Group Ltd. which will commence in September 2021.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -