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Towards constant-time SLAM on an autonomous underwater vehicle using synthetic aperture sonar

Abstract:
This paper applies a new constant-time, consistent and convergent Simultaneous Localization and Mapping (SLAM) algorithm to synthetic aperture sonar (SAS) data acquired by an autonomous underwater vehicle (AUV). Using a novel target detection strategy, data gathered from a 40 minute survey is processed and the results compared to both a ground truth and the "gold standard" quadratic time full covariance SLAM algorithm. © Springer-Verlag Berlin Heidelberg 2005.
Publication status:
Published

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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author


Host title:
Robotics Research
Volume:
15
Pages:
409-420
Publication date:
2005-01-01
EISSN:
1610-742X
ISSN:
1610-7438
ISBN:
3540232141


Pubs id:
pubs:63234
UUID:
uuid:1b12ba44-43c6-4b97-85f3-021ed2031540
Local pid:
pubs:63234
Source identifiers:
63234
Deposit date:
2012-12-19
ARK identifier:

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