Simultaneous localization and mapping

Known as: VSLAM, FastSLAM, Simultaneous localisation and mapping 
In robotic mapping, simultaneous localization and mapping (SLAM) is the computational problem of constructing or updating a map of an unknown… (More)
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Topic mentions per year

1981-2017
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Papers overview

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Highly Cited
2006
Highly Cited
2006
This paper aims at a discussion of the structure of the SLAM problem. The analysis is not strictly formal but based both on… (More)
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Review
2006
Review
2006
This paper describes the simultaneous localization and mapping (SLAM) problem and the essential methods for solving the SLAM… (More)
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Highly Cited
2005
Highly Cited
2005
This paper describes an on-line algorithm for multirobot simultaneous localization and mapping (SLAM). We take as our starting… (More)
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Highly Cited
2005
Highly Cited
2005
This paper addresses the problem of simultaneous localization and mapping (SLAM) by a mobile robot. An incremental SLAM algorithm… (More)
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Highly Cited
2004
Highly Cited
2004
In this paper we describe a scalable algorithm for the simultaneous mapping and localization (SLAM) problem. SLAM is the problem… (More)
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Highly Cited
2004
Highly Cited
2004
The work presents a new approach to the problem of simultaneous localization and mapping - SLAM - inspired by computational… (More)
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Highly Cited
2003
Highly Cited
2003
Proceedings of IJCAI 2003 In [15], Montemerlo et al. proposed an algorithm called FastSLAM as an efficient and robust solution to… (More)
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Highly Cited
2003
Highly Cited
2003
The Extended Kalman Filter (EKF) has been the de facto approach to the Simultaneous Localization and Mapping (SLAM) problem for… (More)
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Highly Cited
2002
Highly Cited
2002
The ability to simultaneously localize a robot and accurately map its surroundings is considered by many to be a key prerequisite… (More)
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Highly Cited
2001
Highly Cited
2001
One of the critical components of mapping an unknown environment is the robot’s ability to locate itself on a partially explored… (More)
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