12345qiupeng
/
gtsam
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

Strengthened AHRS tests

release/4.3a0
dellaert 2015-07-29 16:14:42 -07:00
parent 0b4919e099
commit aebe8161dd
2 changed files with 41 additions and 44 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

1
gtsam/navigation/AHRSFactor.h
View File

@ -89,6 +89,7 @@ class GTSAM_EXPORT PreintegratedAhrsMeasurements : public PreintegratedRotation
const Matrix3& measuredOmegaCovariance)
: PreintegratedRotation(boost::make_shared<Params>()),
biasHat_(biasHat) {
p_->gyroscopeCovariance = measuredOmegaCovariance;
resetIntegration();
}

84
gtsam/navigation/tests/testAHRSFactor.cpp
View File

@ -35,6 +35,12 @@ using symbol_shorthand::X;
using symbol_shorthand::V;
using symbol_shorthand::B;
Vector3 kZeroOmegaCoriolis(0,0,0);
// Define covariance matrices
double accNoiseVar = 0.01;
const Matrix3 kMeasuredAccCovariance = accNoiseVar * I_3x3;
//******************************************************************************
namespace {
Vector callEvaluateError(const AHRSFactor& factor, const Rot3 rot_i,
@ -51,7 +57,7 @@ AHRSFactor::PreintegratedMeasurements evaluatePreintegratedMeasurements(
const Vector3& bias, const list<Vector3>& measuredOmegas,
const list<double>& deltaTs,
const Vector3& initialRotationRate = Vector3::Zero()) {
AHRSFactor::PreintegratedMeasurements result(bias, Matrix3::Identity());
AHRSFactor::PreintegratedMeasurements result(bias, I_3x3);
list<Vector3>::const_iterator itOmega = measuredOmegas.begin();
list<double>::const_iterator itDeltaT = deltaTs.begin();
@ -95,7 +101,7 @@ TEST( AHRSFactor, PreintegratedMeasurements ) {
double expectedDeltaT1(0.5);
// Actual preintegrated values
AHRSFactor::PreintegratedMeasurements actual1(bias, Matrix3::Zero());
AHRSFactor::PreintegratedMeasurements actual1(bias, Z_3x3);
actual1.integrateMeasurement(measuredOmega, deltaT);
EXPECT(assert_equal(expectedDeltaR1, Rot3(actual1.deltaRij()), 1e-6));
@ -121,18 +127,14 @@ TEST(AHRSFactor, Error) {
Rot3 x2(Rot3::RzRyRx(M_PI / 12.0 + M_PI / 100.0, M_PI / 6.0, M_PI / 4.0));
// Measurements
Vector3 gravity;
gravity << 0, 0, 9.81;
Vector3 omegaCoriolis;
omegaCoriolis << 0, 0, 0;
Vector3 measuredOmega;
measuredOmega << M_PI / 100, 0, 0;
double deltaT = 1.0;
AHRSFactor::PreintegratedMeasurements pre_int_data(bias, Matrix3::Zero());
pre_int_data.integrateMeasurement(measuredOmega, deltaT);
AHRSFactor::PreintegratedMeasurements pim(bias, Z_3x3);
pim.integrateMeasurement(measuredOmega, deltaT);
// Create factor
AHRSFactor factor(X(1), X(2), B(1), pre_int_data, omegaCoriolis, boost::none);
AHRSFactor factor(X(1), X(2), B(1), pim, kZeroOmegaCoriolis, boost::none);
Vector3 errorActual = factor.evaluateError(x1, x2, bias);
@ -182,18 +184,16 @@ TEST(AHRSFactor, ErrorWithBiases) {
Rot3 x2(Rot3::Expmap(Vector3(0, 0, M_PI / 4.0 + M_PI / 10.0)));
// Measurements
Vector3 omegaCoriolis;
omegaCoriolis << 0, 0.0, 0.0;
Vector3 measuredOmega;
measuredOmega << 0, 0, M_PI / 10.0 + 0.3;
double deltaT = 1.0;
AHRSFactor::PreintegratedMeasurements pre_int_data(Vector3(0,0,0),
Matrix3::Zero());
pre_int_data.integrateMeasurement(measuredOmega, deltaT);
AHRSFactor::PreintegratedMeasurements pim(Vector3(0,0,0),
Z_3x3);
pim.integrateMeasurement(measuredOmega, deltaT);
// Create factor
AHRSFactor factor(X(1), X(2), B(1), pre_int_data, omegaCoriolis);
AHRSFactor factor(X(1), X(2), B(1), pim, kZeroOmegaCoriolis);
Vector errorActual = factor.evaluateError(x1, x2, bias);
@ -269,7 +269,7 @@ TEST( AHRSFactor, PartialDerivativeLogmap ) {
const Vector3 x = thetahat; // parametrization of so(3)
const Matrix3 X = skewSymmetric(x); // element of Lie algebra so(3): X = x^
double normx = norm_2(x);
const Matrix3 actualDelFdeltheta = Matrix3::Identity() + 0.5 * X
const Matrix3 actualDelFdeltheta = I_3x3 + 0.5 * X
+ (1 / (normx * normx) - (1 + cos(normx)) / (2 * normx * sin(normx))) * X
* X;
@ -359,8 +359,6 @@ TEST( AHRSFactor, ErrorWithBiasesAndSensorBodyDisplacement ) {
Rot3 x2(Rot3::Expmap(Vector3(0, 0, M_PI / 4.0 + M_PI / 10.0)));
// Measurements
Vector3 gravity;
gravity << 0, 0, 9.81;
Vector3 omegaCoriolis;
omegaCoriolis << 0, 0.1, 0.1;
Vector3 measuredOmega;
@ -370,13 +368,15 @@ TEST( AHRSFactor, ErrorWithBiasesAndSensorBodyDisplacement ) {
const Pose3 body_P_sensor(Rot3::Expmap(Vector3(0, 0.10, 0.10)),
Point3(1, 0, 0));
AHRSFactor::PreintegratedMeasurements pre_int_data(Vector3::Zero(),
Matrix3::Zero());
AHRSFactor::PreintegratedMeasurements pim(Vector3::Zero(), kMeasuredAccCovariance);
pre_int_data.integrateMeasurement(measuredOmega, deltaT);
pim.integrateMeasurement(measuredOmega, deltaT);
// Check preintegrated covariance
EXPECT(assert_equal(kMeasuredAccCovariance, pim.preintMeasCov()));
// Create factor
AHRSFactor factor(X(1), X(2), B(1), pre_int_data, omegaCoriolis);
AHRSFactor factor(X(1), X(2), B(1), pim, omegaCoriolis);
// Expected Jacobians
Matrix H1e = numericalDerivative11<Vector, Rot3>(
@ -407,33 +407,34 @@ TEST (AHRSFactor, predictTest) {
Vector3 bias(0,0,0);
// Measurements
Vector3 gravity;
gravity << 0, 0, 9.81;
Vector3 omegaCoriolis;
omegaCoriolis << 0, 0.0, 0.0;
Vector3 measuredOmega;
measuredOmega << 0, 0, M_PI / 10.0;
double deltaT = 0.001;
AHRSFactor::PreintegratedMeasurements pre_int_data(bias, Matrix3::Zero());
double deltaT = 0.2;
AHRSFactor::PreintegratedMeasurements pim(bias, kMeasuredAccCovariance);
for (int i = 0; i < 1000; ++i) {
pre_int_data.integrateMeasurement(measuredOmega, deltaT);
pim.integrateMeasurement(measuredOmega, deltaT);
}
AHRSFactor factor(X(1), X(2), B(1), pre_int_data, omegaCoriolis);
// Check preintegrated covariance
Matrix expectedMeasCov(3,3);
expectedMeasCov = 200*kMeasuredAccCovariance;
EXPECT(assert_equal(expectedMeasCov, pim.preintMeasCov()));
AHRSFactor factor(X(1), X(2), B(1), pim, kZeroOmegaCoriolis);
// Predict
Rot3 x;
Rot3 expectedRot = Rot3().ypr(M_PI / 10, 0, 0);
Rot3 actualRot = factor.predict(x, bias, pre_int_data, omegaCoriolis);
Rot3 expectedRot = Rot3().ypr(20*M_PI, 0, 0);
Rot3 actualRot = factor.predict(x, bias, pim, kZeroOmegaCoriolis);
EXPECT(assert_equal(expectedRot, actualRot, 1e-6));
// AHRSFactor::PreintegratedMeasurements::predict
Matrix expectedH = numericalDerivative11<Vector3, Vector3>(
boost::bind(&AHRSFactor::PreintegratedMeasurements::predict,
&pre_int_data, _1, boost::none), bias);
&pim, _1, boost::none), bias);
// Actual Jacobians
Matrix H;
(void) pre_int_data.predict(bias,H);
(void) pim.predict(bias,H);
EXPECT(assert_equal(expectedH, H));
}
//******************************************************************************
@ -448,12 +449,7 @@ TEST (AHRSFactor, graphTest) {
// PreIntegrator
Vector3 biasHat(0, 0, 0);
Vector3 gravity;
gravity << 0, 0, 9.81;
Vector3 omegaCoriolis;
omegaCoriolis << 0, 0, 0;
AHRSFactor::PreintegratedMeasurements pre_int_data(biasHat,
Matrix3::Identity());
AHRSFactor::PreintegratedMeasurements pim(biasHat, kMeasuredAccCovariance);
// Pre-integrate measurements
Vector3 measuredOmega(0, M_PI / 20, 0);
@ -461,15 +457,15 @@ TEST (AHRSFactor, graphTest) {
// Create Factor
noiseModel::Base::shared_ptr model = //
noiseModel::Gaussian::Covariance(pre_int_data.preintMeasCov());
noiseModel::Gaussian::Covariance(pim.preintMeasCov());
NonlinearFactorGraph graph;
Values values;
for (size_t i = 0; i < 5; ++i) {
pre_int_data.integrateMeasurement(measuredOmega, deltaT);
pim.integrateMeasurement(measuredOmega, deltaT);
}
// pre_int_data.print("Pre integrated measurementes");
AHRSFactor factor(X(1), X(2), B(1), pre_int_data, omegaCoriolis);
// pim.print("Pre integrated measurementes");
AHRSFactor factor(X(1), X(2), B(1), pim, kZeroOmegaCoriolis);
values.insert(X(1), x1);
values.insert(X(2), x2);
values.insert(B(1), bias);