use prior naming scheme for bias jacobians
parent
a17134dd6a
commit
cb75d92bf6
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@ -110,21 +110,21 @@ void PreintegratedCombinedMeasurements::integrateMeasurement(
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// and preintegrated measurements
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// Single Jacobians to propagate covariance
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Matrix3 theta_H_omega = C.topRows<3>();
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Matrix3 pos_H_acc = B.middleRows<3>(3);
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Matrix3 vel_H_acc = B.bottomRows<3>();
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Matrix3 theta_H_biasOmega = C.topRows<3>();
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Matrix3 pos_H_biasAcc = B.middleRows<3>(3);
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Matrix3 vel_H_biasAcc = B.bottomRows<3>();
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Matrix3 theta_H_biasOmegaInit = -theta_H_omega;
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Matrix3 pos_H_biasAccInit = -pos_H_acc;
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Matrix3 vel_H_biasAccInit = -vel_H_acc;
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Matrix3 theta_H_biasOmegaInit = -theta_H_biasOmega;
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Matrix3 pos_H_biasAccInit = -pos_H_biasAcc;
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Matrix3 vel_H_biasAccInit = -vel_H_biasAcc;
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// overall Jacobian wrt preintegrated measurements (df/dx)
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Eigen::Matrix<double, 15, 15> F;
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F.setZero();
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F.block<9, 9>(0, 0) = A;
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F.block<3, 3>(0, 12) = theta_H_omega;
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F.block<3, 3>(3, 9) = pos_H_acc;
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F.block<3, 3>(6, 9) = vel_H_acc;
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F.block<3, 3>(0, 12) = theta_H_biasOmega;
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F.block<3, 3>(3, 9) = pos_H_biasAcc;
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F.block<3, 3>(6, 9) = vel_H_biasAcc;
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F.block<6, 6>(9, 9) = I_6x6;
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// Update the uncertainty on the state (matrix F in [4]).
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@ -149,17 +149,17 @@ void PreintegratedCombinedMeasurements::integrateMeasurement(
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// BLOCK DIAGONAL TERMS
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D_R_R(&G_measCov_Gt) =
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(theta_H_omega * (wCov / dt) * theta_H_omega.transpose()) //
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(theta_H_biasOmega * (wCov / dt) * theta_H_biasOmega.transpose()) //
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+
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(theta_H_biasOmegaInit * bInitCov22 * theta_H_biasOmegaInit.transpose());
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D_t_t(&G_measCov_Gt) =
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(pos_H_acc * (aCov / dt) * pos_H_acc.transpose()) //
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(pos_H_biasAcc * (aCov / dt) * pos_H_biasAcc.transpose()) //
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+ (pos_H_biasAccInit * bInitCov11 * pos_H_biasAccInit.transpose()) //
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+ (dt * iCov);
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D_v_v(&G_measCov_Gt) =
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(vel_H_acc * (aCov / dt) * vel_H_acc.transpose()) //
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(vel_H_biasAcc * (aCov / dt) * vel_H_biasAcc.transpose()) //
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+ (vel_H_biasAccInit * bInitCov11 * vel_H_biasAccInit.transpose());
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D_a_a(&G_measCov_Gt) = dt * p().biasAccCovariance;
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@ -173,12 +173,12 @@ void PreintegratedCombinedMeasurements::integrateMeasurement(
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D_t_R(&G_measCov_Gt) =
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pos_H_biasAccInit * bInitCov12 * theta_H_biasOmegaInit.transpose();
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D_t_v(&G_measCov_Gt) =
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(pos_H_acc * (aCov / dt) * vel_H_acc.transpose()) +
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(pos_H_biasAcc * (aCov / dt) * vel_H_biasAcc.transpose()) +
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(pos_H_biasAccInit * bInitCov11 * vel_H_biasAccInit.transpose());
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D_v_R(&G_measCov_Gt) =
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vel_H_biasAccInit * bInitCov12 * theta_H_biasOmegaInit.transpose();
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D_v_t(&G_measCov_Gt) =
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(vel_H_acc * (aCov / dt) * pos_H_acc.transpose()) +
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(vel_H_biasAcc * (aCov / dt) * pos_H_biasAcc.transpose()) +
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(vel_H_biasAccInit * bInitCov11 * pos_H_biasAccInit.transpose());
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preintMeasCov_.noalias() += G_measCov_Gt;
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