Conference item
A Poisson-spectral model for modelling temporal patterns in human data observed by a robot
- Abstract:
-
The efficiency of autonomous robots depends on how well they understand their operating environment. While most of the traditional environment models focus on the spatial representation, long-term mobile robot operation in human populated environments requires that the robots have a basic model of human behaviour. We present a framework that allows us to retrieve and represent aggregate human behaviour in large, populated environments on extended temporal scales. Our approach, based on time-v...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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Funding
Bibliographic Details
- Publisher:
- IEEE Publisher's website
- Host title:
- 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
- Journal:
- 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) Journal website
- Volume:
- 2016-November
- Pages:
- 4013-4018
- Publication date:
- 2016-12-01
- Acceptance date:
- 2016-07-01
- DOI:
- ISSN:
-
2153-0866
- ISBN:
- 9781509037629
Item Description
- Pubs id:
-
pubs:820014
- UUID:
-
uuid:42c080cc-3204-4f94-a14e-75da31757235
- Local pid:
- pubs:820014
- Source identifiers:
-
820014
- Deposit date:
- 2018-01-24
Terms of use
- Copyright holder:
- IEEE
- Copyright date:
- 2016
- Notes:
- Copyright © 2016 IEEE. This is the accepted manuscript version of the article. The final version is available online from IEEE at: https://doi.org/10.1109/IROS.2016.7759591
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