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Visual Place Recogn...
Visual Place Recognition : A Survey
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- Lowry, Stephanie, 1979- (författare)
- Örebro universitet,Institutionen för naturvetenskap och teknik,AASS MRO Lab
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- Sunderhauf, Niko (författare)
- The Australian Centre for Robotic Vision, School of Electrical Engineering and Computer Science, Queensland University of Technology, Brisbane, Australia
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- Newman, Paul (författare)
- The Mobile Robotics Group, Department of Engineering Science, University of Oxford, Oxford, U.K.
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- Leonard, John (författare)
- The Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, USA
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- Cox, David (författare)
- The Department of Molecular and Cellular Biology, the School of Engineering and Applied Science, and the Center for Brain Science, Harvard University, Cambridge, USA
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- Corke, Peter (författare)
- The Australian Centre for Robotic Vision, School of Electrical Engineering and Computer Science, Queensland University of Technology, Brisbane, Australia
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- Milford, Michael (författare)
- The Australian Centre for Robotic Vision, School of Electrical Engineering and Computer Science, Queensland University of Technology, Brisbane, Australia
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(creator_code:org_t)
- IEEE Robotics and Automation Society, 2016
- 2016
- Engelska.
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Ingår i: IEEE Transactions on robotics. - : IEEE Robotics and Automation Society. - 1552-3098 .- 1941-0468. ; 32:1, s. 1-19
- Relaterad länk:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
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- Visual place recognition is a challenging problem due to the vast range of ways in which the appearance of real-world places can vary. In recent years, improvements in visual sensing capabilities, an ever-increasing focus on long-term mobile robot autonomy, and the ability to draw on state-of-the-art research in other disciplines - particularly recognition in computer vision and animal navigation in neuroscience - have all contributed to significant advances in visual place recognition systems. This paper presents a survey of the visual place recognition research landscape. We start by introducing the concepts behind place recognition - the role of place recognition in the animal kingdom, how a "place" is defined in a robotics context, and the major components of a place recognition system. Long-term robot operations have revealed that changing appearance can be a significant factor in visual place recognition failure; therefore, we discuss how place recognition solutions can implicitly or explicitly account for appearance change within the environment. Finally, we close with a discussion on the future of visual place recognition, in particular with respect to the rapid advances being made in the related fields of deep learning, semantic scene understanding, and video description.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
Nyckelord
- Visual place recognition
- place recognition
- Computer Science
- Datavetenskap
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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