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% GTSAM Copyright 2010, Georgia Tech Research Corporation,
% Atlanta, Georgia 30332-0415
% All Rights Reserved
% Authors: Frank Dellaert, et al. (see THANKS for the full author list)
%
% See LICENSE for the license information
%
% @brief Read graph from file and perform GraphSLAM
% @author Frank Dellaert
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%% Create a hexagon of poses
hexagon = pose3SLAM.Values.Circle(6,1.0);
p0 = hexagon.pose(0);
p1 = hexagon.pose(1);

%% create a Pose graph with one equality constraint and one measurement
import gtsam.*
fg = pose3SLAM.Graph;
fg.addPoseConstraint(0, p0);
delta = p0.between(p1);
covariance = noiseModel.Diagonal.Sigmas([0.05; 0.05; 0.05; 5*pi/180; 5*pi/180; 5*pi/180]);
fg.addRelativePose(0,1, delta, covariance);
fg.addRelativePose(1,2, delta, covariance);
fg.addRelativePose(2,3, delta, covariance);
fg.addRelativePose(3,4, delta, covariance);
fg.addRelativePose(4,5, delta, covariance);
fg.addRelativePose(5,0, delta, covariance);

%% Create initial config
initial = pose3SLAM.Values;
s = 0.10;
initial.insertPose(0, p0);
initial.insertPose(1, hexagon.pose(1).retract(s*randn(6,1)));
initial.insertPose(2, hexagon.pose(2).retract(s*randn(6,1)));
initial.insertPose(3, hexagon.pose(3).retract(s*randn(6,1)));
initial.insertPose(4, hexagon.pose(4).retract(s*randn(6,1)));
initial.insertPose(5, hexagon.pose(5).retract(s*randn(6,1)));

%% optimize
result = fg.optimize(initial,0);

pose_1 = result.pose(1);
CHECK('pose_1.equals(Pose3,1e-4)',pose_1.equals(p1,1e-4));