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regulizedFineTuneEachLiDARTagPose.m
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regulizedFineTuneEachLiDARTagPose.m
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%{
* Copyright (C) 2013-2020, The Regents of The University of Michigan.
* All rights reserved.
* This software was developed in the Biped Lab (https://www.biped.solutions/)
* under the direction of Jessy Grizzle, [email protected]. This software may
* be available under alternative licensing terms; contact the address above.
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
* 1. Redistributions of source code must retain the above copyright notice, this
* list of conditions and the following disclaimer.
* 2. Redistributions in binary form must reproduce the above copyright notice,
* this list of conditions and the following disclaimer in the documentation
* and/or other materials provided with the distribution.
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
* ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
* WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
* DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR
* ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
* (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
* LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
* ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
* (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
* SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
* The views and conclusions contained in the software and documentation are those
* of the authors and should not be interpreted as representing official policies,
* either expressed or implied, of the Regents of The University of Michigan.
*
* AUTHOR: Bruce JK Huang (bjhuang[at]umich.edu)
* WEBSITE: https://www.brucerobot.com/
%}
function X = regulizedFineTuneEachLiDARTagPose(tag_size, X, Y, H_LT, P, display)
theta_x = optimvar('theta_x', 1, 1,'LowerBound',-5,'UpperBound',5); % 1x1
theta_y = optimvar('theta_y', 1, 1,'LowerBound',-5,'UpperBound',5); % 1x1
theta_z = optimvar('theta_z', 1, 1,'LowerBound',-5,'UpperBound',5); % 1x1
T = optimvar('T', 1, 3,'LowerBound',-0.1,'UpperBound',0.1);
prob = optimproblem;
f = fcn2optimexpr(@regulizedCostOfFineTuneLiDARTagPose, theta_x, theta_y, theta_z, T, ...
X, Y, H_LT, P, tag_size);
prob.Objective = f;
x0.theta_x = 0;
x0.theta_y = 0;
x0.theta_z = 0;
x0.T = [0 0 0];
options = optimoptions('fmincon', 'MaxIter',5e2, 'Display','off', ...
'TolX', 1e-12, 'FunctionTolerance', 1e-8, ...
'MaxFunctionEvaluations', 3e4, 'StepTolerance', 1e-20);
[sol, fval, ~, ~] = solve(prob, x0, 'Options', options);
R_final = rotx(sol.theta_x) * roty(sol.theta_y) * rotz(sol.theta_z);
H_fine_tune = eye(4);
H_fine_tune(1:3, 1:3) = R_final;
H_fine_tune(1:3, 4) = sol.T';
if checkDisplay(display)
disp('new H_LT: ')
disp(H_fine_tune)
disp('cost:')
disp(fval)
end
X = H_fine_tune * X;
end