Reverted back to functional
parent
e64fc532e3
commit
2542d20367
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@ -36,19 +36,24 @@ namespace sugar {
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static Eigen::Block<Vector9, 3, 1> dR(Vector9& v) { return v.segment<3>(0); }
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static Eigen::Block<Vector9, 3, 1> dP(Vector9& v) { return v.segment<3>(3); }
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static Eigen::Block<Vector9, 3, 1> dV(Vector9& v) { return v.segment<3>(6); }
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typedef const Vector9 constV9;
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static Eigen::Block<constV9, 3, 1> dR(constV9& v) { return v.segment<3>(0); }
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static Eigen::Block<constV9, 3, 1> dP(constV9& v) { return v.segment<3>(3); }
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static Eigen::Block<constV9, 3, 1> dV(constV9& v) { return v.segment<3>(6); }
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} // namespace sugar
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// See extensive discussion in ImuFactor.lyx
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void AggregateImuReadings::UpdateEstimate(const Vector3& a_body,
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const Vector3& w_body, double dt,
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Vector9* zeta,
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OptionalJacobian<9, 9> A,
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OptionalJacobian<9, 3> B,
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OptionalJacobian<9, 3> C) {
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Vector9 AggregateImuReadings::UpdateEstimate(const Vector3& a_body,
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const Vector3& w_body, double dt,
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const Vector9& zeta,
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OptionalJacobian<9, 9> A,
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OptionalJacobian<9, 3> B,
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OptionalJacobian<9, 3> C) {
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using namespace sugar;
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const Vector3 theta = dR(*zeta);
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const Vector3 v = dV(*zeta);
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const Vector3 theta = dR(zeta);
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const Vector3 v = dV(zeta);
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// Calculate exact mean propagation
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Matrix3 H;
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@ -57,9 +62,10 @@ void AggregateImuReadings::UpdateEstimate(const Vector3& a_body,
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const Vector3 a_nav = R * a_body;
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const double dt22 = 0.5 * dt * dt;
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dR(*zeta) += invH * w_body * dt; // theta
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dP(*zeta) += v * dt + a_nav * dt22; // position
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dV(*zeta) += a_nav * dt; // velocity
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Vector9 zetaPlus;
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dR(zetaPlus) = dR(zeta) + invH * w_body * dt; // theta
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dP(zetaPlus) = dP(zeta) + v * dt + a_nav * dt22; // position
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dV(zetaPlus) = dV(zeta) + a_nav * dt; // velocity
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if (A) {
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// First order (small angle) approximation of derivative of invH*w:
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@ -84,6 +90,8 @@ void AggregateImuReadings::UpdateEstimate(const Vector3& a_body,
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C->block<3, 3>(3, 0) = Z_3x3;
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C->block<3, 3>(6, 0) = Z_3x3;
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}
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return zetaPlus;
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}
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void AggregateImuReadings::integrateMeasurement(const Vector3& measuredAcc,
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@ -96,7 +104,7 @@ void AggregateImuReadings::integrateMeasurement(const Vector3& measuredAcc,
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// Do exact mean propagation
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Matrix9 A;
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Matrix93 B, C;
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UpdateEstimate(a_body, w_body, dt, &zeta_, A, B, C);
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zeta_ = UpdateEstimate(a_body, w_body, dt, zeta_, A, B, C);
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// propagate uncertainty
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// TODO(frank): use noiseModel routine so we can have arbitrary noise models.
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@ -74,11 +74,11 @@ class AggregateImuReadings {
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// Update integrated vector on tangent manifold zeta with acceleration
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// readings a_body and gyro readings w_body, bias-corrected in body frame.
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static void UpdateEstimate(const Vector3& a_body, const Vector3& w_body,
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double dt, Vector9* zeta,
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OptionalJacobian<9, 9> A = boost::none,
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OptionalJacobian<9, 3> B = boost::none,
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OptionalJacobian<9, 3> C = boost::none);
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static Vector9 UpdateEstimate(const Vector3& a_body, const Vector3& w_body,
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double dt, const Vector9& zeta,
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OptionalJacobian<9, 9> A = boost::none,
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OptionalJacobian<9, 3> B = boost::none,
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OptionalJacobian<9, 3> C = boost::none);
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};
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} // namespace gtsam
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@ -39,8 +39,7 @@ static boost::shared_ptr<AggregateImuReadings::Params> defaultParams() {
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}
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Vector9 f(const Vector9& zeta, const Vector3& a, const Vector3& w) {
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Vector9 zeta_plus = zeta;
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AggregateImuReadings::UpdateEstimate(a, w, kDt, &zeta_plus);
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Vector9 zeta_plus = AggregateImuReadings::UpdateEstimate(a, w, kDt, zeta);
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return zeta_plus;
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}
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@ -50,10 +49,9 @@ TEST(AggregateImuReadings, UpdateEstimate1) {
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const Vector3 acc(0.1, 0.2, 10), omega(0.1, 0.2, 0.3);
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Vector9 zeta;
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zeta.setZero();
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Vector9 zeta2 = zeta;
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Matrix9 aH1;
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Matrix93 aH2, aH3;
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pim.UpdateEstimate(acc, omega, kDt, &zeta2, aH1, aH2, aH3);
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pim.UpdateEstimate(acc, omega, kDt, zeta, aH1, aH2, aH3);
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EXPECT(assert_equal(numericalDerivative31(f, zeta, acc, omega), aH1, 1e-9));
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EXPECT(assert_equal(numericalDerivative32(f, zeta, acc, omega), aH2, 1e-9));
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EXPECT(assert_equal(numericalDerivative33(f, zeta, acc, omega), aH3, 1e-9));
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@ -65,10 +63,9 @@ TEST(AggregateImuReadings, UpdateEstimate2) {
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const Vector3 acc(0.1, 0.2, 10), omega(0.1, 0.2, 0.3);
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Vector9 zeta;
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zeta << 0.01, 0.02, 0.03, 100, 200, 300, 10, 5, 3;
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Vector9 zeta2 = zeta;
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Matrix9 aH1;
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Matrix93 aH2, aH3;
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pim.UpdateEstimate(acc, omega, kDt, &zeta2, aH1, aH2, aH3);
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pim.UpdateEstimate(acc, omega, kDt, zeta, aH1, aH2, aH3);
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// NOTE(frank): tolerance of 1e-3 on H1 because approximate away from 0
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EXPECT(assert_equal(numericalDerivative31(f, zeta, acc, omega), aH1, 1e-3));
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EXPECT(assert_equal(numericalDerivative32(f, zeta, acc, omega), aH2, 1e-7));
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