g2o - General Graph Optimization

Linux/Mac: Windows:

g2o is an open-source C++ framework for optimizing graph-based nonlinear error functions. g2o has been designed to be easily extensible to a wide range of problems and a new problem typically can be specified in a few lines of code. The current implementation provides solutions to several variants of SLAM and BA.

A wide range of problems in robotics as well as in computer-vision involve the minimization of a non-linear error function that can be represented as a graph. Typical instances are simultaneous localization and mapping (SLAM) or bundle adjustment (BA). The overall goal in these problems is to find the configuration of parameters or state variables that maximally explain a set of measurements affected by Gaussian noise. g2o is an open-source C++ framework for such nonlinear least squares problems. g2o has been designed to be easily extensible to a wide range of problems and a new problem typically can be specified in a few lines of code. The current implementation provides solutions to several variants of SLAM and BA. g2o offers a performance comparable to implementations of state-of-the-art approaches for the specific problems (02/2011).

Python and updated memory management

The branch pymem contains a python wrapper and switches to smart pointer instead of RAW pointers. It is currently experimental but PRs and improvements are welcome - as always.

Papers Describing the Approach

Rainer Kuemmerle, Giorgio Grisetti, Hauke Strasdat, Kurt Konolige, and Wolfram Burgard g2o: A General Framework for Graph Optimization IEEE International Conference on Robotics and Automation (ICRA), 2011

Documentation

A detailed description of how the library is structured and how to use and extend it can be found in /doc/g2o.pdf The API documentation can be generated as described in doc/doxygen/readme.txt

License

g2o is licensed under the BSD License. However, some libraries are available under different license terms. See below.

The following parts are licensed under LGPL3+:

csparse_extension

The following parts are licensed under GPL3+:

g2o_viewer
g2o_incremental
slam2d_g2o (example for 2D SLAM with a QGLviewer GUI)

Please note that some features of CHOLMOD (which may be used by g2o, see libsuitesparse below) are licensed under the GPL. To avoid the GPL, you may have to re-compile CHOLMOD without including its GPL features. The CHOLMOD library distributed with, for example, Ubuntu or Debian includes the GPL features. The supernodal factorization is considered by g2o, if it is available.

Within the folder g2o/EXTERNAL we include software not written by us to guarantee easy compilation.

ceres: BSD (see g2o/EXTERNAL/ceres/LICENSE) Headers to perform Automatic Differentiation
freeglut: X Consortium (Copyright (c) 1999-2000 Pawel W. Olszta) We use a stripped down version for drawing text in OpenGL.

See the doc folder for the full text of the licenses.

g2o is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the licenses for more details.

Requirements

C++17 compiler (CI pipeline runs with gcc, clang and MSVC)
cmake http://www.cmake.org
Eigen3 http://eigen.tuxfamily.org

On Ubuntu / Debian these dependencies are resolved by installing the following packages.

cmake
libeigen3-dev

Optional requirements

suitesparse http://faculty.cse.tamu.edu/davis/suitesparse.html
Qt5 http://qt-project.org
libQGLViewer http://www.libqglviewer.com

On Ubuntu / Debian these dependencies are resolved by installing the following packages.

libsuitesparse-dev
qtdeclarative5-dev
qt5-qmake
libqglviewer-dev-qt5

Mac OS X

If using Homebrew, then

brew install brewsci/science/g2o

will install g2o together with its required dependencies. In this case no manual compilation is necessary.

Windows

If using vcpkg, then

script\install-deps-windows.bat

will build and install the required dependencies. The location of vcpkg and required triplet are determined by the environment variables VCPKG_ROOT_DIR and VCPKG_DEFAULT_TRIPLET.

Compilation

Our primary development platform is Linux. Experimental support for Mac OS X, Android and Windows (MinGW or MSVC). We recommend a so-called out of source build which can be achieved by the following command sequence.

mkdir build
cd build
cmake ../
make

The binaries will be placed in bin and the libraries in lib which are both located in the top-level folder.

On Windows with vcpkg the following two commands will generate build scripts for Visual Studio 2017 MSVC 15 tool set (please change the Visual Studio version number in accordance with your system):

mkdir build
cd build
cmake -G "Visual Studio 15 2017 Win64" -DG2O_BUILD_APPS=ON -DG2O_BUILD_EXAMPLES=ON -DVCPKG_TARGET_TRIPLET="%VCPKG_DEFAULT_TRIPLET%" -DCMAKE_TOOLCHAIN_FILE="%VCPKG_ROOT_DIR%\scripts\buildsystems\vcpkg.cmake" ..

If you are compiling on Windows and you are for some reasons not using vcpkg please download Eigen3 and extract it. Within cmake-gui set the variable EIGEN3_INCLUDE_DIR to that directory.

mkdir build
cd build
`cmake .. -G "Visual Studio 15 2017 Win64" -DG2O_BUILD_APPS=ON -DG2O_BUILD_EXAMPLES=ON -DEIGEN3_INCLUDE_DIR="<THE_PATH_WHERE_YOU_PLACED_EIGEN3_AND_THE_EIGEN3_CMakeLists.txt>"

Cross-Compiling for Android

mkdir build
cd build
cmake -DCMAKE_TOOLCHAIN_FILE=../script/android.toolchain.cmake -DANDROID_NDK=<YOUR_PATH_TO_ANDROID_NDK_r10d+> -DCMAKE_BUILD_TYPE=Release -DANDROID_ABI="armeabi-v7a with NEON" -DEIGEN3_INCLUDE_DIR="<YOUR_PATH_TO_EIGEN>" -DEIGEN3_VERSION_OK=ON .. && cmake --build .

Acknowledgments

We thank the following contributors for providing patches:

Simon J. Julier: patches to achieve compatibility with Mac OS X and others.
Michael A. Eriksen for submitting patches to compile with MSVC.
Mark Pupilli for submitting patches to compile with MSVC.

Projects using g2o

g2opy: Python binding
.Net wrapper

elevir / g2o