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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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Related topics

Related topics

6 relations
EKF SLAMMobile Robot Programming Toolkit (MRPT)RoboticsSEIF SLAM

Broader (1)

Robot control

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2020
2020
Fast and Accurate Mapping for Autonomous Racing
This paper presents the perception, mapping, and planning pipeline implemented on an autonomous race car. It was developed by the… 
2018
2018
Map Memorization and Forgetting in the IARA Autonomous Car
In this work, we present a novel strategy for correcting imperfections in occupancy grid maps called map decay. The objective of… 
2017
2017
Design-time improvement using a functional approach to specify GraphSLAM with deterministic performance on an FPGA
SLAM is a fundamental problem in robotics that can be solved by a set of algorithms that are known to have large computational… 
2016
2016
FLAT2D: Fast localization from approximate transformation into 2D
Many autonomous vehicles require precise localization into a prior map in order to support planning and to leverage semantic… 
2016
2016
FLAT 2 D : Fast Localization from Approximate Transformation into 2 D
Many autonomous vehicles require precise localization into a prior map in order to support planning and to leverage semantic… 
2013
2013
Pose-based GraphSLAM algorithm for robotic fish with a mechanical scanning sonar
This paper proposes a pose-based GraphSLAM algorithm for robotic fish equipped with a Mechanical Scanning Sonar (MSS) that has a… 
2011
2011
측정 아웃라이어 제거를 통해 개선된 GraphSLAM
본 논문은 측정값의 우도를 기준으로 선택적인 측정값 적용을 통한 향상된 GraphSLAM을 제안하였다. GraphSLAM… 
Review
2011
Review
2011
A Survey of Optimization Problems Underlying Graph-based Simultaneous Localization and Mapping
In robotics, the problem of Simultaneous Localization and Mapping (SLAM) asks if a mobile robot that is placed at a unknown… 
2010
2010
Mapping large scale environments by combining Particle Filter and Information Filter
This paper presents two approaches to combine two popular mapping strategies, namely Particle Filters and Information Filters… 
2008
2008
The Efficient Extension of Globally Consistent Scan Matching to 6 DoF
Pharmaceutical preparations for the local treatment of inflammations are claimed herein, characterized in that they contain as… 
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