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GraphSLAM

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

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2020
2020
This paper presents the perception, mapping, and planning pipeline implemented on an autonomous race car. It was developed by the… 
2016
2016
Many autonomous vehicles require precise localization into a prior map in order to support planning and to leverage semantic… 
2016
2016
Many autonomous vehicles require precise localization into a prior map in order to support planning and to leverage semantic… 
2013
2013
This paper presents a robust solution to the mobile robotics data association problem based on solving the maximum clique problem… 
2013
2013
This paper proposes a pose-based GraphSLAM algorithm for robotic fish equipped with a Mechanical Scanning Sonar (MSS) that has a… 
2011
2011
In this paper we present a general method for exploiting prior information to constrain the location of landmarks in GraphSLAM… 
2011
2011
본 논문은 측정값의 우도를 기준으로 선택적인 측정값 적용을 통한 향상된 GraphSLAM을 제안하였다. GraphSLAM… 
Review
2011
Review
2011
In robotics, the problem of Simultaneous Localization and Mapping (SLAM) asks if a mobile robot that is placed at a unknown… 
2010
2010
This paper presents two approaches to combine two popular mapping strategies, namely Particle Filters and Information Filters… 
2008
2008
Pharmaceutical preparations for the local treatment of inflammations are claimed herein, characterized in that they contain as…