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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… Expand
Wikipedia

Related topics

Related topics

6 relations
EKF SLAMMobile Robot Programming Toolkit (MRPT)RoboticsSEIF SLAM
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Broader (1)

Robot control

Papers overview

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2017
2017
Experimental Evaluation of Nearest Neighbor Exploration Approach in Field Environments
Inspecting surface conditions in 3-D environments such as steel bridges is a complex, time-consuming, and often hazardous… Expand
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2017
2017
EM-SLAM With Inertial/Visual Applications
The general simultaneous localization and mapping (SLAM) problem aims at estimating the state of a moving platform simultaneously… Expand
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2016
2016
Multi-lane perception using feature fusion based on GraphSLAM
An extensive, precise and robust recognition and modeling of the environment is a key factor for next generations of Advanced… Expand
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2015
2015
A pose pruning driven solution to pose feature GraphSLAM
To build consistent feature-based map for the environment, GraphSLAM forms the graph using the collected information, with poses… Expand
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2014
2014
Stereo Graph-SLAM for Autonomous Underwater Vehicles
The increasing use of Autonomous Underwater Vehicles (AUV) in industrial or scientific applications makes the vehicle… Expand
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2013
2013
Robust Global Feature Based Data Association With a Sparse Bit Optimized Maximum Clique Algorithm
This paper presents a robust solution to the mobile robotics data association problem based on solving the maximum clique problem… Expand
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Highly Cited
2011
Highly Cited
2011
Efficient, generalized indoor WiFi GraphSLAM
The widespread deployment of wireless networks presents an opportunity for localization and mapping using only signal-strength… Expand
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Highly Cited
2011
Highly Cited
2011
Velodyne SLAM
Estimating a vehicles' own trajectory and generating precise maps of the environment are both important tasks for intelligent… Expand
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Highly Cited
2006
Highly Cited
2006
Fast iterative alignment of pose graphs with poor initial estimates
A robot exploring an environment can estimate its own motion and the relative positions of features in the environment… Expand
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Highly Cited
2006
Highly Cited
2006
The Graph SLAM Algorithm with Applications to Large-Scale Mapping of Urban Structures
This article presents GraphSLAM, a unifying algorithm for the offline SLAM problem. GraphSLAM is closely related to a recent… Expand
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