- 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...
Expand abstract - Publication status:
- Published
- Peer review status:
- Peer reviewed
- Files:
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(pdf, 1.0mb)
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- Publisher copy:
- 10.1109/CVPR.2018.00884
-
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- Publisher:
- Institute of Electrical and Electronics Engineers Publisher's website
- Publication date:
- 2018-12-18
- Acceptance date:
- 2018-02-28
- DOI:
- Pubs id:
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pubs:859552
- URN:
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uri:6d579536-3392-4237-86e1-acf11ab6f68b
- UUID:
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uuid:6d579536-3392-4237-86e1-acf11ab6f68b
- Local pid:
- pubs:859552
- 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
Conference item
MapNet: An allocentric spatial memory for mapping environments
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