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startup.m
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startup.m
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% Matlab toolbox for smoothing and mapping
%
%
clc;
disp(' ');
disp(' MATLAB TOOLBOX FOR SMOOTHING AND MAPPING');
disp(' ');
disp(' The toolbox compares SLAM oprimization strategies such as:');
disp(' a) Incrementaly updating the Cholesky factor [1] (CholFactor)');
disp(' b) Incrementaly updating the Information matrix [2] (Hessian)');
disp(' c) Incrementaly updating the Jacobian matrix [3][4] (Jacobian)');
disp(' ');
disp(' ');
disp('[1] Sparse Local Submap Joining Filter for Building Large-Scale Maps,S. Huang, Z. Wang and G. Dissanayake, TRO 2008');
disp('[2] Information-based Compact Pose SLAM, V. Ila, J. M. Porta, and J. Andrade-Cetto, TRO, 2010');
disp('[3] Square Root SAM: SLAM via Square Root Information Smoothing, F. Dellaert and M. Kaess, IJRR, 2006');
disp('[4] iSAM: Incremental Smoothing and Mapping, M. Kaess, A. Ranganathan, and F. Dellaert, IEEE TRO, 2008 ');
disp(' ');
disp(' The toolbox requires Tim Davis SuiteSparse toolbox which can be downloaded from here: ');
disp(' http://www.cise.ufl.edu/research/sparse/SuiteSparse/');
disp(' Place the SuiteSparse in ~/SuiteSparse folder');
disp(' ');
disp(' To test the toolbox just run: testNonlinearOptimization');
disp(' After, you can edit testNonlinearOptimization and change the parameters to test more options ');
disp(' ');
disp(' ');
disp(' ENJOY!!');
disp(' ');
disp(' Author: Viorela Ila');
SuiteSparsePath_ela='~/LAAS/matlab/slam-optim-matlab/SuiteSparse';
SuiteSparsePath_others='~/SuiteSparse';
if exist(SuiteSparsePath_ela,'dir')
path(path,genpath(SuiteSparsePath_ela));
path(path,genpath(pwd));
clear SuiteSparsePath_ela;
clear SuiteSparsePath_others;
elseif exist(SuiteSparsePath_others,'dir')
path(path,genpath(SuiteSparsePath_others));
path(path,genpath(pwd));
clear SuiteSparsePath_ela;
clear SuiteSparsePath_others;
else
disp(' Can not find SuiteSparse !! ');
path(path,genpath(pwd));
clear SuiteSparsePath;
end