GraphSLAM

In robotics, GraphSLAM is a Simultaneous localization and mapping algorithm which uses sparse information matrices produced by generating a graph of… (More)
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Papers overview

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2017
2017
Simultaneous Localisation and Mapping (SLAM) systems that recover the trajectory of a robot or mobile device are characterised by… (More)
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2017
2017
SLAM is a fundamental problem in robotics that can be solved by a set of algorithms that are known to have large computational… (More)
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2016
2016
An extensive, precise and robust recognition and modeling of the environment is a key factor for next generations of Advanced… (More)
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Review
2016
Review
2016
Due to the ubiquitous deployment of WiFi Access Points(APs) in indoor environment, many research works have been conducted to… (More)
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2014
2014
To build consistent feature based map for the environment, GraphSLAM forms the graph using the collected information, with poses… (More)
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2013
2013
This paper proposes a pose-based GraphSLAM algorithm for robotic fish equipped with a Mechanical Scanning Sonar (MSS) that has a… (More)
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Highly Cited
2011
Highly Cited
2011
The widespread deployment of wireless networks presents an opportunity for localization and mapping using only signal-strength… (More)
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2011
2011
In this paper we present a general method for exploiting prior information to constrain the location of landmarks in GraphSLAM… (More)
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Highly Cited
2006
Highly Cited
2006
This article presents GraphSLAM, a unifying algorithm for the offline SLAM problem. GraphSLAM is closely related to a recent… (More)
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Highly Cited
2006
Highly Cited
2006
A robot exploring an environment can estimate its own motion and the relative positions of features in the environment… (More)
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