Merge pull request #17 from bricerebsamen/brice/fix16-linearizeNumerically

Fix linearizeNumerically (#16)
release/4.3a0
Frank Dellaert 2019-05-22 16:06:03 -04:00 committed by GitHub
commit 69771f7ed5
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2 changed files with 108 additions and 1 deletions

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@ -46,9 +46,9 @@ JacobianFactor linearizeNumerically(const NoiseModelFactor& factor,
// Loop over all variables
const double one_over_2delta = 1.0 / (2.0 * delta);
VectorValues dX = values.zeroVectors();
for(Key key: factor) {
// Compute central differences using the values struct.
VectorValues dX = values.zeroVectors();
const size_t cols = dX.dim(key);
Matrix J = Matrix::Zero(rows, cols);
for (size_t col = 0; col < cols; ++col) {

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@ -0,0 +1,107 @@
/* ----------------------------------------------------------------------------
* GTSAM Copyright 2010, Georgia Tech Research Corporation,
* Atlanta, Georgia 30332-0415
* All Rights Reserved
* Authors: Frank Dellaert, et al. (see THANKS for the full author list)
* See LICENSE for the license information
* -------------------------------1------------------------------------------- */
/**
* @file testFactorTesting.cpp
* @date September 18, 2014
* @author Brice Rebsamen
* @brief unit tests for testFactorJacobians and testExpressionJacobians
*/
#include <gtsam/geometry/Pose3.h>
#include <gtsam/nonlinear/expressions.h>
#include <gtsam/nonlinear/expressionTesting.h>
#include <gtsam/slam/expressions.h>
#include <CppUnitLite/TestHarness.h>
using namespace gtsam;
/* ************************************************************************* */
Vector3 bodyVelocity(const Pose3& w_t_b,
const Vector3& vec_w,
OptionalJacobian<3, 6> Hpose = boost::none,
OptionalJacobian<3, 3> Hvel = boost::none) {
Matrix36 Hrot__pose;
Rot3 w_R_b = w_t_b.rotation(Hrot__pose);
Matrix33 Hvel__rot;
Vector3 vec_b = w_R_b.unrotate(vec_w, Hvel__rot, Hvel);
if (Hpose) {
*Hpose = Hvel__rot * Hrot__pose;
}
return vec_b;
}
// Functor used to create an expression for the measured wheel speed scaled
// by the scale factor.
class ScaledVelocityFunctor {
public:
explicit ScaledVelocityFunctor(double measured_wheel_speed)
: measured_velocity_(measured_wheel_speed, 0, 0) {}
// Computes the scaled measured velocity vector from the measured wheel speed
// and velocity scale factor. Also computes the corresponding jacobian
// (w.r.t. the velocity scale).
Vector3 operator()(double vscale,
OptionalJacobian<3, 1> H = boost::none) const {
// The velocity scale factor value we are optimizing for is centered around
// 0, so we need to add 1 to it before scaling the velocity.
const Vector3 scaled_velocity = (vscale + 1.0) * measured_velocity_;
if (H) {
*H = measured_velocity_;
}
return scaled_velocity;
}
private:
Vector3 measured_velocity_;
};
/* ************************************************************************* */
TEST(ExpressionTesting, Issue16) {
const double tol = 1e-4;
const double numerical_step = 1e-3;
// Note: name of keys matters: if we use 'p' instead of 'x' then this no
// longer repros the problem from issue 16. This is because the order of
// evaluation in linearizeNumerically depends on the key values. To repro
// we want to first evaluate the jacobian for the scale, then velocity,
// then pose.
const auto pose_key = Symbol('x', 1);
const auto vel_key = Symbol('v', 1);
const auto scale_key = Symbol('s', 1);
Values values;
values.insert<Pose3>(pose_key, Pose3());
values.insert<Vector3>(vel_key, Vector3(1, 0, 0));
values.insert<double>(scale_key, 0);
const Vector3_ body_vel(&bodyVelocity,
Pose3_(pose_key),
Vector3_(vel_key));
const Vector3_ scaled_measured_vel(ScaledVelocityFunctor(1),
Double_(scale_key));
const auto err_expr = body_vel - scaled_measured_vel;
const auto err = err_expr.value(values);
EXPECT_LONGS_EQUAL(3, err.size());
EXPECT(assert_equal(Vector3(Z_3x1), err));
EXPECT(internal::testExpressionJacobians(
"ScaleAndCompare", err_expr, values, numerical_step, tol));
}
/* ************************************************************************* */
int main() {
TestResult tr;
return TestRegistry::runAllTests(tr);
}
/* ************************************************************************* */