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…

Papers overview

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2014

Simultaneous localization and mapping (SLAM) is a family of algorithms to generate map information while positioning the moving…

2012

This paper gives an introduction to the Simultaneous Localization and Mapping (SLAM) methods and recent advances in computational…

2010

Inertial and vision sensors are must nowadays in terms of navigation and guidance measurements for autonomous aerial and ground…

2009

In this paper we present a real-time simultaneous localization and mapping system which uses a stereo camera as its only input…

2007

In this paper, a new algorithm, Relative-Absolute SLAM (RASLAM), is proposed to resolve the simultaneous localization and mapping…

2006

Information theory is combined with the Rao-Blackwellised particle filter (RBPF) for mobile robot simultaneous localization and…

2005

In this Technical Report we study the time evolution of the position estimates’ covariance in Cooperative Simultaneous…

2004

In this paper we present a vision-based approach for the multi-robot Simultaneous Localization and Mapping (SLAM) problem. We…

2004

The reliability of simultaneous localization and mapping (SLAM) for mobile robots is low in dense environment due to the high…

2003

The imprecision of sensor measurements due to systematic and nonsystematic errors can give rise to severe problems in several…