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main_spinning_lidar.m
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main_spinning_lidar.m
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%{
* Copyright (C) 2013-2025, 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/
%}
clear, clc
intrinsic_lib = './3D_lidar_intrinsic_calibration';
noise_lib = "./noise";
utils = './matlab_utils';
scenes_dir = "./scenes";
methods = ["Lie", "BaseLine1","BaseLine3"];
methods = ["Lie"];
save_path = "./results/noiseModel";
addpath(genpath(intrinsic_lib))
addpath(genpath(utils))
addpath(scenes_dir)
addpath(noise_lib)
%% LiDAR simulator
scenes = [13];
validation_scene = [14];
noise_model = [2,3,6];
% noise_model = [5];
opts.lidar.type = 1;
opts.sensor_noise_enable = 0;
%% Intrinsic calibration
%%% Lie; BaseLine2; BaseLine2
opts.datatype = 2; % Experiment , Simulation
opts.iterative = 0; % for intrinsic calibration
opts.threshold = 0.5;
%% General options
opts.plot.intrinsic_calibration = 0;
opts.show.simulator_statistics = 0;
opts.show.intrinsic_statistics = 0;
opts.save.images = 0;
opts.save.calibration_result = 0;
for model = 1:length(noise_model)
opts.mechanics_noise_model = noise_model(model);
for i = 1: size(scenes,2)
scene = scenes(i);
for method = 1:length(methods)
opts.method = method;
opts.save_path = save_path + num2str(opts.mechanics_noise_model)+ "/scene-" + num2str(scene) + "/" + methods(opts.method) + "/";
checkDirectory(opts.save_path);
calibrateIntrinsicParameters(scene, opts);
end
end
end