/* * Software License Agreement (BSD License) * * Copyright (c) 2011-2014, Willow Garage, Inc. * Copyright (c) 2014-2016, Open Source Robotics Foundation * Copyright (c) 2016, Toyota Research Institute * All rights reserved. * * Redistribution and use in source and binary forms, with or without * modification, are permitted provided that the following conditions * are met: * * * Redistributions of source code must retain the above copyright * notice, this list of conditions and the following disclaimer. * * 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. * * Neither the name of Open Source Robotics Foundation nor the names of its * contributors may be used to endorse or promote products derived * from this software without specific prior written permission. * * 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. */ /** @author Jeongseok Lee */ #include #include #include #include "fcl/narrowphase/distance.h" using namespace fcl; //============================================================================== template S getDistance(const Vector3& p) { detail::GJKSolver_libccd solver; S dist; Sphere s1(20); Sphere s2(10); Transform3 tf1 = Transform3::Identity(); Transform3 tf2 = Transform3::Identity(); tf2.translation() = p; solver.shapeDistance(s1, tf1, s2, tf2, &dist); return dist; } //============================================================================== template void test_basic() { using derivative_t = Eigen::Matrix; using scalar_t = Eigen::AutoDiffScalar; using input_t = Eigen::Matrix; input_t pos(40, 0, 0); pos(0).derivatives() = derivative_t::Unit(3, 0); pos(1).derivatives() = derivative_t::Unit(3, 1); pos(2).derivatives() = derivative_t::Unit(3, 2); auto dist = getDistance(pos); EXPECT_EQ(dist, (S)10); EXPECT_EQ(dist.value(), (S)10); EXPECT_EQ(dist.derivatives(), Vector3(1, 0, 0)); pos << 0, 40, 0; pos(0).derivatives() = derivative_t::Unit(3, 0); pos(1).derivatives() = derivative_t::Unit(3, 1); pos(2).derivatives() = derivative_t::Unit(3, 2); dist = getDistance(pos); EXPECT_EQ(dist, (S)10); EXPECT_EQ(dist.value(), (S)10); EXPECT_EQ(dist.derivatives(), Vector3(0, 1, 0)); pos << 0, 0, 40; pos(0).derivatives() = derivative_t::Unit(3, 0); pos(1).derivatives() = derivative_t::Unit(3, 1); pos(2).derivatives() = derivative_t::Unit(3, 2); dist = getDistance(pos); EXPECT_EQ(dist, (S)10); EXPECT_EQ(dist.value(), (S)10); EXPECT_EQ(dist.derivatives(), Vector3(0, 0, 1)); } //============================================================================== GTEST_TEST(FCL_AUTO_DIFF, basic) { // test_basic(); test_basic(); } //============================================================================== int main(int argc, char* argv[]) { ::testing::InitGoogleTest(&argc, argv); return RUN_ALL_TESTS(); }