gtsam/matlab/unstable_examples/TransformProjectionFactorEx...

175 lines
4.3 KiB
Matlab

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% 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
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
clear all;
clc;
import gtsam.*
write_video = true;
if(write_video)
videoObj = VideoWriter('test.avi');
videoObj.Quality = 100;
videoObj.FrameRate = 2;
open(videoObj);
end
%% generate some landmarks
nrPoints = 8;
landmarks = {Point3([20 15 1]'),...
Point3([22 7 -1]'),...
Point3([20 20 6]'),...
Point3([24 19 -4]'),...
Point3([26 17 -2]'),...
Point3([12 15 4]'),...
Point3([25 11 -6]'),...
Point3([23 10 4]')};
fg = NonlinearFactorGraph;
pose_cov = noiseModel.Diagonal.Sigmas([1*pi/180; 1*pi/180; 1*pi/180; 0.1; 0.1; 0.1]);
fg.add(PriorFactorPose3(1, Pose3(),pose_cov));
fg.add(PriorFactorPose3(2, Pose3(Rot3(),Point3(1,0,0)),pose_cov));
curvature = 0.5;
initial = Values;
%% intial landmarks and camera trajectory shifted in + y-direction
y_shift = Point3(0,1,0);
% insert shifted points
for i=1:nrPoints
initial.insert(100+i,landmarks{i}.compose(y_shift));
end
figure(1);
cla
hold on;
%% Actual camera translation coincides with odometry, but -90deg Z-X rotation
camera_transform = Pose3(Rot3.RzRyRx(-pi/2, 0, -pi/2),y_shift);
actual_transform = Pose3(Rot3.RzRyRx(-pi/2, 0, -pi/2),Point3());
initial.insert(1000,camera_transform);
trans_cov = noiseModel.Diagonal.Sigmas([5*pi/180; 5*pi/180; 5*pi/180; 20; 20; 20]);
fg.add(PriorFactorPose3(1000,camera_transform,trans_cov));
%% insert poses
initial.insert(1, Pose3());
move_forward = Pose3(Rot3(),Point3(1,0,0));
move_circle = Pose3(Rot3.RzRyRx(0.0,0.0,curvature*pi/180),Point3(1,0,0));
covariance = noiseModel.Diagonal.Sigmas([5*pi/180; 5*pi/180; 5*pi/180; 0.05; 0.05; 0.05]);
z_cov = noiseModel.Diagonal.Sigmas([1.0;1.0]);
K = Cal3_S2(900,900,0,640,480);
cheirality_exception_count = 0;
isamParams = gtsam.ISAM2Params;
isamParams.setFactorization('QR');
isam = ISAM2(isamParams);
result = initial
for i=1:20
if i > 1
if i < 11
initial.insert(i,result.atPose3(i-1).compose(move_forward));
fg.add(BetweenFactorPose3(i-1,i, move_forward, covariance));
else
initial.insert(i,result.atPose3(i-1).compose(move_circle));
fg.add(BetweenFactorPose3(i-1,i, move_circle, covariance));
end
end
% generate some camera measurements
cam_pose = initial.atPose3(i).compose(actual_transform);
% gtsam.plotPose3(cam_pose);
cam = PinholeCameraCal3_S2(cam_pose,K);
i
% result
for j=1:nrPoints
% All landmarks seen in every frame
try
z = cam.project(landmarks{j});
fg.add(TransformProjectionFactorCal3_S2(z, z_cov, i, 1000, 100+j, K));
catch
cheirality_exception_count = cheirality_exception_count + 1;
end % end try/catch
end
if i > 2
disp('ISAM Update');
isam.update(fg, initial);
result = isam.calculateEstimate();
%% reset
initial = Values;
fg = NonlinearFactorGraph;
end
hold off;
clf;
hold on;
%% plot results
result_camera_transform = result.atPose3(1000);
for j=1:i
gtsam.plotPose3(result.atPose3(j));
gtsam.plotPose3(result.atPose3(j).compose(result_camera_transform),[],0.5);
end
xlabel('x (m)');
ylabel('y (m)');
title(sprintf('Curvature %g deg, iteration %g', curvature, i));
axis([0 20 0 20 -10 10]);
view(-37,40);
% axis equal
for l=101:100+nrPoints
plotPoint3(result.atPoint3(l),'g');
end
ty = result.atPose3(1000).translation().y();
text(5,5,5,sprintf('Y-Transform: %0.2g',ty));
if(write_video)
currFrame = getframe(gcf);
writeVideo(videoObj, currFrame)
else
pause(0.001);
end
end
if(write_video)
close(videoObj);
end
fprintf('Cheirality Exception count: %d\n', cheirality_exception_count);
disp('Transform after optimization');
result.atPose3(1000)