a numerical derivative version for DiscreteEulerPoincare'Factor, but currently disabled.
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9e2b11800a
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@ -7,6 +7,7 @@
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#pragma once
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#include <gtsam/base/numericalDerivative.h>
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#include <gtsam/geometry/Pose3.h>
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#include <gtsam/base/LieVector.h>
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#include <gtsam/nonlinear/NonlinearFactor.h>
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@ -20,6 +21,8 @@ namespace gtsam {
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* \f$ \xi_k \f$: the body-fixed velocity (Lie algebra)
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* It is somewhat similar to BetweenFactor, but treats the body-fixed velocity
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* \f$ \xi_k \f$ as a variable. So it is a three-way factor.
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* Note: this factor is necessary if one needs to smooth the entire graph. It's not needed
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* in sequential update method.
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*/
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class Reconstruction : public NoiseModelFactor3<Pose3, Pose3, LieVector> {
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@ -78,8 +81,8 @@ class DiscreteEulerPoincareHelicopter : public NoiseModelFactor3<LieVector, LieV
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double h_; /// time step
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Matrix Inertia_; /// Inertia tensors Inertia = [ J 0; 0 M ]
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Vector Fu_; /// F is the 6xc Control matrix, where c is the number of control variables uk, which directly change the vehicle pose (e.g., gas/brake/speed)
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/// F(.) is actually a function of the shape variables, which do not change the pose, but affect the vehicle's shape, e.g. steering wheel.
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/// Fu_ encodes everything we need to know about the vehicle's dynamics.
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/// F(.) is actually a function of the shape variables, which do not change the pose, but affect the vehicle's shape, e.g. steering wheel.
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/// Fu_ encodes everything we need to know about the vehicle's dynamics.
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double m_; /// mass. For gravity external force f_ext, which has a fixed formula in this case.
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// TODO: Fk_ and f_ext should be generalized as functions (factor nodes) on control signals and poses/velocities.
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@ -92,8 +95,8 @@ public:
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DiscreteEulerPoincareHelicopter(Key xiKey1, Key xiKey_1, Key gKey,
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double h, const Matrix& Inertia, const Vector& Fu, double m,
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double mu = 1000.0) :
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Base(noiseModel::Constrained::All(Pose3::Dim(), fabs(mu)), xiKey1, xiKey_1, gKey),
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h_(h), Inertia_(Inertia), Fu_(Fu), m_(m) {
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Base(noiseModel::Constrained::All(Pose3::Dim(), fabs(mu)), xiKey1, xiKey_1, gKey),
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h_(h), Inertia_(Inertia), Fu_(Fu), m_(m) {
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}
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virtual ~DiscreteEulerPoincareHelicopter() {}
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@ -149,6 +152,52 @@ public:
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return hx;
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}
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#if 0
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Vector computeError(const LieVector& xik, const LieVector& xik_1, const Pose3& gk) const {
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Vector pk = Pose3::dExpInv_exp(h_*xik).transpose()*Inertia_*xik;
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Vector pk_1 = Pose3::dExpInv_exp(-h_*xik_1).transpose()*Inertia_*xik_1;
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Point3 gravityBody = gk.rotation().unrotate(Point3(0.0, 0.0, -9.81*m_));
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Vector f_ext = Vector_(6, 0.0, 0.0, 0.0, gravityBody.x(), gravityBody.y(), gravityBody.z());
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Vector hx = pk - pk_1 - h_*Fu_ - h_*f_ext;
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return hx;
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}
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Vector evaluateError(const LieVector& xik, const LieVector& xik_1, const Pose3& gk,
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boost::optional<Matrix&> H1 = boost::none,
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boost::optional<Matrix&> H2 = boost::none,
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boost::optional<Matrix&> H3 = boost::none) const {
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if (H1) {
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(*H1) = numericalDerivative31(
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boost::function<Vector(const LieVector&, const LieVector&, const Pose3&)>(
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boost::bind(&DiscreteEulerPoincareHelicopter::computeError, *this, _1, _2, _3)
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),
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xik, xik_1, gk, 1e-5
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);
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}
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if (H2) {
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(*H2) = numericalDerivative32(
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boost::function<Vector(const LieVector&, const LieVector&, const Pose3&)>(
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boost::bind(&DiscreteEulerPoincareHelicopter::computeError, *this, _1, _2, _3)
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),
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xik, xik_1, gk, 1e-5
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);
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}
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if (H3) {
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(*H3) = numericalDerivative33(
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boost::function<Vector(const LieVector&, const LieVector&, const Pose3&)>(
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boost::bind(&DiscreteEulerPoincareHelicopter::computeError, *this, _1, _2, _3)
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),
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xik, xik_1, gk, 1e-5
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);
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}
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return computeError(xik, xik_1, gk);
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}
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#endif
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};
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