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Simultaneous localization and mapping

Known as: VSLAM, FastSLAM, Slam 
In robotic mapping, simultaneous localization and mapping (SLAM) is the computational problem of constructing or updating a map of an unknown… 
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
An observer for simultaneous localization and mapping is considered in this paper. The proposed observer is based on recent… 
Highly Cited
2018
Highly Cited
2018
Autonomous navigation of unmanned aerial vehicles (UAVs) in GPS‐denied environments is a challenging problem, especially for… 
2018
2018
In this work, we propose a novel approach for high accuracy user localization by merging tools from both millimeter wave (mmWave… 
Highly Cited
2017
Highly Cited
2017
This paper presents a simultaneous localization and mapping (SLAM) method that utilizes the measurement of ambient magnetic… 
Highly Cited
2010
Highly Cited
2010
We propose DAvinCi, a software framework that provides the scalability and parallelism advantages of cloud computing for service… 
2007
2007
  • P. Skrzypczynski
  • 2007
  • Corpus ID: 14123887
In this paper we discuss methods to reduce spatial uncertainty in the simultaneous localization and mapping (SLAM) procedure for… 
Review
2005
Review
2005
Simultaneous localization and mapping(SLAM) algorithm plays an important role on enabling the fully autonomous navigation.This… 
2004
2004
In this paper we present a vision-based approach for the multi-robot Simultaneous Localization and Mapping (SLAM) problem. We… 
Highly Cited
2003
Highly Cited
2003
This paper presents a novel method of combining topological and feature-based mapping strategies to create a hierarchical… 
2001
2001
This paper describes an accurate and robust algorithm for simultaneous localization and map building (SLAM). The objective of…