Go to file
Paul Drews 51c4a50c23 Initial broken commit of Similarity Transform 2014-12-05 09:28:10 -05:00
CppUnitLite
cmake Add EIGEN_INITIALIZE_MATRICES_BY_NAN to Debug mode to resolve issue #184. 2014-12-04 12:40:11 -05:00
doc
examples Merged in feature/TemplatedSmartFactors (pull request #39) 2014-11-25 07:36:14 -05:00
gtsam Merged in fix/deprecateLieVectorEtAl (pull request #62) 2014-12-04 22:18:01 +01:00
gtsam_unstable Initial broken commit of Similarity Transform 2014-12-05 09:28:10 -05:00
matlab Fixed test 2014-12-01 11:25:16 +01:00
package_scripts solve 'redefine MKL warning' 2014-11-13 20:59:45 -05:00
tests Fixed headers 2014-11-26 17:31:40 +01:00
timing Updated timing scripts for comma initializer 2014-11-22 18:07:27 -08:00
wrap Small problem w virtual 2014-12-02 14:12:22 +01:00
.cproject Successful global function parser 2014-12-02 13:30:52 +01:00
.gitignore Add intermediate file for round-trip dataset test to ignore 2014-10-25 20:20:35 -04:00
.project Fixed build command 2014-11-23 10:43:00 +01:00
CMakeLists.txt Move warning suppression 2014-11-25 15:51:49 -05:00
DEVELOP
INSTALL
LICENSE
LICENSE.BSD
README.md README.md edited online with Bitbucket 2014-12-03 18:52:53 +00:00
THANKS
USAGE
gtsam.h GTSAM header that gets parsed correctly 2014-11-30 10:51:32 +01:00
gtsam_extra.cmake.in
makestats.sh
matlab.h utilities.localToWorld 2014-05-27 00:42:03 -04:00
package.xml Adding a minimal version of catkin compatibility 2014-10-02 16:51:29 +02:00

README.md

README - Georgia Tech Smoothing and Mapping library

What is GTSAM?

GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse matrices.

On top of the C++ library, GTSAM includes a MATLAB interface (enable GTSAM_INSTALL_MATLAB_TOOLBOX in CMake to build it). A Python interface is under development.

Quickstart

In the root library folder execute:

#!bash
$ mkdir build
$ cd build
$ cmake ..
$ make check (optional, runs unit tests)
$ make install

Prerequisites:

  • Boost >= 1.43 (Ubuntu: sudo apt-get install libboost-all-dev)
  • CMake >= 2.6 (Ubuntu: sudo apt-get install cmake)

Optional prerequisites - used automatically if findable by CMake:

Additional Information

Read about important [GTSAM-Concepts] here.

See the [INSTALL] file for more detailed installation instructions.

GTSAM is open source under the BSD license, see the LICENSE and LICENSE.BSD files.

Please see the examples/ directory and the [USAGE] file for examples on how to use GTSAM.