Conference item
MapNet: An allocentric spatial memory for mapping environments
- Abstract:
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Autonomous agents need to reason about the world beyond their instantaneous sensory input. Integrating information over time, however, requires switching from an egocentric representation of a scene to an allocentric one, expressed in the world reference frame. It must also be possible to update the representation dynamically, which requires localizing and registering the sensor with respect to the world reference. In this paper, we develop a differentiable module that satisfies such requirem...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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Access Document
- Files:
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(Accepted manuscript, pdf, 1.0MB)
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- Publisher copy:
- 10.1109/CVPR.2018.00884
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Authors
Funding
Bibliographic Details
- Publisher:
- Institute of Electrical and Electronics Engineers Publisher's website
- Journal:
- Conference on Computer Vision and Pattern Recognition (CVPR 2018) Journal website
- Host title:
- Conference on Computer Vision and Pattern Recognition (CVPR 2018)
- Publication date:
- 2018-12-18
- Acceptance date:
- 2018-02-28
- DOI:
- Source identifiers:
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859552
Item Description
- Pubs id:
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pubs:859552
- UUID:
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uuid:6d579536-3392-4237-86e1-acf11ab6f68b
- Local pid:
- pubs:859552
- Deposit date:
- 2018-06-27
Terms of use
- Copyright holder:
- Institute of Electrical and Electronics Engineers
- Copyright date:
- 2018
- Notes:
- © 2018 IEEE. This is the accepted manuscript version of the article. The final version is available online from Institute of Electrical and Electronics Engineers at: https://doi.org/10.1109/CVPR.2018.00884
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