Merging works great with numerical derivative of keystone block
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ebba015227
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77969f97d9
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@ -140,6 +140,7 @@ Vector9 PreintegrationBase::UpdatePreintegrated(const Vector3& a_body,
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velocity + a_nav* dt; // velocity
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if (A) {
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#define USE_NUMERICAL_DERIVATIVE
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#ifdef USE_NUMERICAL_DERIVATIVE
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// The use of this yields much more accurate derivatives, but it's slow!
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// TODO(frank): find a cheap closed form solution (look at Iserles)
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@ -792,15 +792,15 @@ struct ImuFactorMergeTest {
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p_->accelerometerCovariance = I_3x3 * 0.03;
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}
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void TestScenarioBiasCase(TestResult& result_, const std::string& name_,
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const Scenario& scenario,
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const imuBias::ConstantBias& bias01,
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const imuBias::ConstantBias& bias12, double tol) {
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int TestScenario(TestResult& result_, const std::string& name_,
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const Scenario& scenario,
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const imuBias::ConstantBias& bias01,
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const imuBias::ConstantBias& bias12, double tol) {
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// Test merge by creating a 01, 12, and 02 PreintegratedRotation,
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// then checking the merge of 01-12 matches 02.
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PreintegratedImuMeasurements pim01(p_, bias01);
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PreintegratedImuMeasurements pim12(p_, bias12);
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PreintegratedImuMeasurements expected_pim02(p_, bias01);
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PreintegratedImuMeasurements pim02_expected(p_, bias01);
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double deltaT = 0.05;
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ScenarioRunner runner(&scenario, p_, deltaT);
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@ -810,7 +810,7 @@ struct ImuFactorMergeTest {
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// integrate the measurements appropriately
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Vector3 accel_meas = runner.actualSpecificForce(t);
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Vector3 omega_meas = runner.actualAngularVelocity(t);
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expected_pim02.integrateMeasurement(accel_meas, omega_meas, deltaT);
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pim02_expected.integrateMeasurement(accel_meas, omega_meas, deltaT);
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if (i < 50) {
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pim01.integrateMeasurement(accel_meas, omega_meas, deltaT);
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} else {
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@ -818,25 +818,27 @@ struct ImuFactorMergeTest {
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}
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}
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auto actual_pim02 = ImuFactor::Merge(pim01, pim12);
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EXPECT(assert_equal(expected_pim02.preintegrated(), actual_pim02.preintegrated(), tol));
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EXPECT(assert_equal(expected_pim02, actual_pim02, tol));
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EXPECT(assert_equal(pim02_expected.preintegrated(),
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actual_pim02.preintegrated(), tol));
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EXPECT(assert_equal(pim02_expected, actual_pim02, tol));
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ImuFactor::shared_ptr factor_01 =
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ImuFactor::shared_ptr factor01 =
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boost::make_shared<ImuFactor>(X(0), V(0), X(1), V(1), B(0), pim01);
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ImuFactor::shared_ptr factor_12 =
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ImuFactor::shared_ptr factor12 =
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boost::make_shared<ImuFactor>(X(1), V(1), X(2), V(2), B(0), pim12);
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ImuFactor::shared_ptr factor_02_true = boost::make_shared<ImuFactor>(
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X(0), V(0), X(2), V(2), B(0), expected_pim02);
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ImuFactor::shared_ptr factor02_expected = boost::make_shared<ImuFactor>(
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X(0), V(0), X(2), V(2), B(0), pim02_expected);
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// ImuFactor::shared_ptr factor_02_merged = factor01.mergeWith(factor_12);
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// EXPECT(assert_equal(*factor_02_true, *factor_02_merged, tol));
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// ImuFactor::shared_ptr factor02_merged = factor01.mergeWith(factor12);
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// EXPECT(assert_equal(*factor02_expected, *factor02_merged, tol));
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return result_.getFailureCount();
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}
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void TestScenarios(TestResult& result_, const std::string& name_,
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const imuBias::ConstantBias& bias01,
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const imuBias::ConstantBias& bias12, double tol) {
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for (auto scenario : {forward_, loop_})
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TestScenarioBiasCase(result_, name_, scenario, bias01, bias12, tol);
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for (auto scenario : {forward_})
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EXPECT_LONGS_EQUAL(0,TestScenario(result_, name_, scenario, bias01, bias12, tol));
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}
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};
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@ -845,7 +847,7 @@ struct ImuFactorMergeTest {
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// an exact answer.
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TEST(ImuFactor, MergeZeroBias) {
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ImuFactorMergeTest mergeTest;
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mergeTest.TestScenarios(result_, name_, kZeroBias, kZeroBias, 1e-6);
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mergeTest.TestScenarios(result_, name_, kZeroBias, kZeroBias, 1e-5);
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}
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//// Test case with different biases where we expect there to be some variation.
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@ -136,7 +136,7 @@ TEST(PreintegrationBase, Compose) {
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EXPECT(assert_equal(numericalDerivative21(f, Z_3x1, Z_3x1),
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expected_pim02.preintegrated_H_biasAcc()));
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EXPECT(assert_equal(numericalDerivative22(f, Z_3x1, Z_3x1),
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expected_pim02.preintegrated_H_biasOmega(), 1e-3));
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expected_pim02.preintegrated_H_biasOmega(), 1e-7));
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}
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/* ************************************************************************* */
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