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19 lines
1.1 KiB
Plaintext
19 lines
1.1 KiB
Plaintext
g2o is an open-source C++ framework for optimizing graph-based nonlinear error
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functions. g2o has been designed to be easily extensible to a wide range of
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problems and a new problem typically can be specified in a few lines of code.
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The current implementation provides solutions to several variants of SLAM and
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BA.
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A wide range of problems in robotics as well as in computer-vision involve the
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minimization of a non-linear error function that can be represented as a graph.
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Typical instances are simultaneous localization and mapping (SLAM) or bundle
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adjustment (BA). The overall goal in these problems is to find the configuration
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of parameters or state variables that maximally explain a set of measurements
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affected by Gaussian noise. g2o is an open-source C++ framework for such
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nonlinear least squares problems. g2o has been designed to be easily extensible
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to a wide range of problems and a new problem typically can be specified in a
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few lines of code. The current implementation provides solutions to several
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variants of SLAM and BA.
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WWW: http://openslam.org/g2o.html
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