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Simultaneous localization and mapping

Simultaneous localization and mapping (SLAM) is a process where a computer constructs or updates a map of an unknown environment while simultaneously keeping track of an entity's location within it. While this initially appears to be a chicken or the egg problem, there are several algorithms known to solve it in, at least approximately, tractable time…

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Mathematical description of the problem

Algorithms

Specialized SLAM methods

Implementation methods

History

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Simultaneous localization and mapping

Nodes53
Edges52
Triples46
Avg. degree1.96
Density0.037736
Components1

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Simultaneous localization and mapping

Top relations

related to External links · 23
Simultaneous localization and mapping → Andrew Davison, Computing, Department, Dieter Fox, DLR, FootSLAM, German Aerospace Center, Imperial College London, Kalman Filtering, Mapping, Mapping Vehicle, Matlab Toolbox, Online SLAM, PlaceSLAM, Probabilistic Robotics, Python, Sebastian Thrun, Simultaneous Localization, SLAM, SLAM For Dummies
related to Acoustic SLAM · 9
Simultaneous localization and mapping → Acoustic Simultaneous Localization, Acoustic SLAM, An, DoA, Early, However, Mapping, SLAM, To

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Important terminology

slam map algorithms sensors robot visual location mapping problem localization acoustic features model data research environment used robotics sensor maps

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Google's ARCore which replaces their prior augmented reality computing platform named Tangoinstance ofand is used in commercialized SLAM systems0.80text
formerly Project Tangoinstance ofand is used in commercialized SLAM systems0.80text
Google's StreetView may also be used as part of mapsinstance ofLocation-tagged visual data0.80text
carsinstance ofperhaps allowing for moving objects0.80text
people only to be updated in the map at runtime.Sensing.mw-parser-output .hatnoteinstance ofperhaps allowing for moving objects0.80text
those in mobile devicesinstance ofbecause of the increasing ubiquity of cameras0.80text
tactile SLAMinstance ofThe need for active exploration is especially pronounced in sparse sensing regimes0.80text
RatSLAM.Collaborative SLAMCollaborative SLAM combines sensors from multiple robots or users to generate 3D mapsinstance ofand has formed the basis for bio-inspired SLAM systems0.80text
people only to be updated in the map at runtimeinstance ofperhaps allowing for moving objects0.80text
RatSLAMinstance ofand has formed the basis for bio-inspired SLAM systems0.80text
monocular camerasinstance oflightweight equipment0.80text
or microelectronic microphone arraysinstance oflightweight equipment0.80text

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