Merge branch 'develop' into wrap/pybind-stl

release/4.3a0
Varun Agrawal 2023-06-15 17:55:52 -04:00
commit f58ee917f0
6 changed files with 83 additions and 25 deletions

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@ -21,24 +21,15 @@ jobs:
# Github Actions requires a single row to be added to the build matrix.
# See https://help.github.com/en/articles/workflow-syntax-for-github-actions.
name: [
#TODO This build fails, need to understand why.
# windows-2016-cl,
windows-2019-cl,
]
build_type: [
Debug,
#TODO(Varun) The release build takes over 2.5 hours, need to figure out why.
# Release
Release
]
build_unstable: [ON]
include:
#TODO This build fails, need to understand why.
# - name: windows-2016-cl
# os: windows-2016
# compiler: cl
# platform: 32
- name: windows-2019-cl
os: windows-2019
compiler: cl
@ -125,4 +116,3 @@ jobs:
# Run GTSAM_UNSTABLE tests
#cmake --build build -j 4 --config ${{ matrix.build_type }} --target check.base_unstable

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@ -258,10 +258,19 @@ public:
inline const Rot2& r() const { return r_; }
/// translation
inline const Point2& translation() const { return t_; }
inline const Point2& translation(OptionalJacobian<2, 3> Hself={}) const {
if (Hself) {
*Hself = Matrix::Zero(2, 3);
(*Hself).block<2, 2>(0, 0) = rotation().matrix();
}
return t_;
}
/// rotation
inline const Rot2& rotation() const { return r_; }
inline const Rot2& rotation(OptionalJacobian<1, 3> Hself={}) const {
if (Hself) *Hself << 0, 0, 1;
return r_;
}
//// return transformation matrix
GTSAM_EXPORT Matrix3 matrix() const;

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@ -434,7 +434,9 @@ class Pose2 {
gtsam::Rot2 bearing(const gtsam::Point2& point) const;
double range(const gtsam::Point2& point) const;
gtsam::Point2 translation() const;
gtsam::Point2 translation(Eigen::Ref<Eigen::MatrixXd> Hself) const;
gtsam::Rot2 rotation() const;
gtsam::Rot2 rotation(Eigen::Ref<Eigen::MatrixXd> Hself) const;
Matrix matrix() const;
// enabling serialization functionality

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@ -474,6 +474,33 @@ TEST( Pose2, compose_matrix )
EXPECT(assert_equal(gM1*_1M2,matrix(gT1.compose(_1T2)))); // RIGHT DOES NOT
}
/* ************************************************************************* */
TEST( Pose2, translation ) {
Pose2 pose(3.5, -8.2, 4.2);
Matrix actualH;
EXPECT(assert_equal((Vector2() << 3.5, -8.2).finished(), pose.translation(actualH), 1e-8));
std::function<Point2(const Pose2&)> f = [](const Pose2& T) { return T.translation(); };
Matrix numericalH = numericalDerivative11<Point2, Pose2>(f, pose);
EXPECT(assert_equal(numericalH, actualH, 1e-6));
}
/* ************************************************************************* */
TEST( Pose2, rotation ) {
Pose2 pose(3.5, -8.2, 4.2);
Matrix actualH(4, 3);
EXPECT(assert_equal(Rot2(4.2), pose.rotation(actualH), 1e-8));
std::function<Rot2(const Pose2&)> f = [](const Pose2& T) { return T.rotation(); };
Matrix numericalH = numericalDerivative11<Rot2, Pose2>(f, pose);
EXPECT(assert_equal(numericalH, actualH, 1e-6));
}
/* ************************************************************************* */
TEST( Pose2, between )
{

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@ -85,7 +85,8 @@ Vector4 triangulateHomogeneousDLT(
Point3 triangulateLOST(const std::vector<Pose3>& poses,
const Point3Vector& calibratedMeasurements,
const SharedIsotropic& measurementNoise) {
const SharedIsotropic& measurementNoise,
double rank_tol) {
size_t m = calibratedMeasurements.size();
assert(m == poses.size());
@ -96,17 +97,38 @@ Point3 triangulateLOST(const std::vector<Pose3>& poses,
for (size_t i = 0; i < m; i++) {
const Pose3& wTi = poses[i];
// TODO(akshay-krishnan): are there better ways to select j?
const int j = (i + 1) % m;
int j = (i + 1) % m;
const Pose3& wTj = poses[j];
const Point3 d_ij = wTj.translation() - wTi.translation();
Point3 d_ij = wTj.translation() - wTi.translation();
Point3 wZi = wTi.rotation().rotate(calibratedMeasurements[i]);
Point3 wZj = wTj.rotation().rotate(calibratedMeasurements[j]);
double num_i = wZi.cross(wZj).norm();
double den_i = d_ij.cross(wZj).norm();
const Point3 wZi = wTi.rotation().rotate(calibratedMeasurements[i]);
const Point3 wZj = wTj.rotation().rotate(calibratedMeasurements[j]);
// Handle q_i = 0 (or NaN), which arises if the measurement vectors, wZi and
// wZj, coincide (or the baseline vector coincides with the jth measurement
// vector).
if (num_i == 0 || den_i == 0) {
bool success = false;
for (size_t k = 2; k < m; k++) {
j = (i + k) % m;
const Pose3& wTj = poses[j];
d_ij = wTj.translation() - wTi.translation();
wZj = wTj.rotation().rotate(calibratedMeasurements[j]);
num_i = wZi.cross(wZj).norm();
den_i = d_ij.cross(wZj).norm();
if (num_i > 0 && den_i > 0) {
success = true;
break;
}
}
if (!success) throw(TriangulationUnderconstrainedException());
}
// Note: Setting q_i = 1.0 gives same results as DLT.
const double q_i = wZi.cross(wZj).norm() /
(measurementNoise->sigma() * d_ij.cross(wZj).norm());
const double q_i = num_i / (measurementNoise->sigma() * den_i);
const Matrix23 coefficientMat =
q_i * skewSymmetric(calibratedMeasurements[i]).topLeftCorner(2, 3) *
@ -115,7 +137,13 @@ Point3 triangulateLOST(const std::vector<Pose3>& poses,
A.block<2, 3>(2 * i, 0) << coefficientMat;
b.block<2, 1>(2 * i, 0) << coefficientMat * wTi.translation();
}
return A.colPivHouseholderQr().solve(b);
Eigen::ColPivHouseholderQR<Matrix> A_Qr = A.colPivHouseholderQr();
A_Qr.setThreshold(rank_tol);
if (A_Qr.rank() < 3) throw(TriangulationUnderconstrainedException());
return A_Qr.solve(b);
}
Point3 triangulateDLT(

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@ -110,7 +110,8 @@ GTSAM_EXPORT Point3 triangulateDLT(
*/
GTSAM_EXPORT Point3 triangulateLOST(const std::vector<Pose3>& poses,
const Point3Vector& calibratedMeasurements,
const SharedIsotropic& measurementNoise);
const SharedIsotropic& measurementNoise,
double rank_tol = 1e-9);
/**
* Create a factor graph with projection factors from poses and one calibration
@ -439,7 +440,8 @@ Point3 triangulatePoint3(const std::vector<Pose3>& poses,
auto calibratedMeasurements =
calibrateMeasurementsShared<CALIBRATION>(*sharedCal, measurements);
point = triangulateLOST(poses, calibratedMeasurements, measurementNoise);
point = triangulateLOST(poses, calibratedMeasurements, measurementNoise,
rank_tol);
} else {
// construct projection matrices from poses & calibration
auto projection_matrices = projectionMatricesFromPoses(poses, sharedCal);
@ -512,7 +514,8 @@ Point3 triangulatePoint3(const CameraSet<CAMERA>& cameras,
auto calibratedMeasurements =
calibrateMeasurements<CAMERA>(cameras, measurements);
point = triangulateLOST(poses, calibratedMeasurements, measurementNoise);
point = triangulateLOST(poses, calibratedMeasurements, measurementNoise,
rank_tol);
} else {
// construct projection matrices from poses & calibration
auto projection_matrices = projectionMatricesFromCameras(cameras);
@ -750,4 +753,3 @@ using CameraSetCal3Fisheye = CameraSet<PinholeCamera<Cal3Fisheye>>;
using CameraSetCal3Unified = CameraSet<PinholeCamera<Cal3Unified>>;
using CameraSetSpherical = CameraSet<SphericalCamera>;
} // \namespace gtsam