Merge pull request #633 from borglab/fix/foot-imu
Adds unit test for imu preintegration of a single steprelease/4.3a0
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#pragma once
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#include <tests/Measurement.h>
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namespace gtsam {
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/**
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*\brief Contains data from the IMU mesaurements.
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*/
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class ImuMeasurement : public Measurement {
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public:
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enum Name { BODY = 0, RF_FOOT = 1, RH_FOOT = 2 };
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Name name; ///< Unique string identifier
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Eigen::Vector3d I_a_WI; ///< Raw acceleration from the IMU (m/s/s)
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Eigen::Vector3d I_w_WI; ///< Raw angular velocity from the IMU (rad/s)
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ImuMeasurement()
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: Measurement("ImuMeasurement"), I_a_WI{0, 0, 0}, I_w_WI{0, 0, 0} {}
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virtual ~ImuMeasurement() override {}
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friend std::ostream& operator<<(std::ostream& stream,
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const ImuMeasurement& meas);
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};
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std::ostream& operator<<(std::ostream& stream, const ImuMeasurement& meas) {
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stream << "IMU Measurement at time = " << meas.time << " : \n"
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<< "dt : " << meas.dt << "\n"
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<< "I_a_WI: " << meas.I_a_WI.transpose() << "\n"
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<< "I_w_WI: " << meas.I_w_WI.transpose() << "\n";
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return stream;
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}
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} // namespace gtsam
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#pragma once
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#include <Eigen/Core>
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#include <string>
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namespace gtsam {
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/**
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* \brief This is the base class for all measurement types.
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*/
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class Measurement {
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public:
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EIGEN_MAKE_ALIGNED_OPERATOR_NEW
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size_t dt; ///< Time since the last message of this type (nanoseconds).
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size_t time; ///< ROS time message recieved (nanoseconds).
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///< The type of message (to enable dynamic/static casting).
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std::string type;
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Measurement() : dt(0), time(0), type("UNDEFINED") {}
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Measurement(std::string _type) : dt(0), time(0), type(_type) {}
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virtual ~Measurement() {}
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};
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} // namespace gtsam
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/* ----------------------------------------------------------------------------
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* GTSAM Copyright 2010, Georgia Tech Research Corporation,
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* Atlanta, Georgia 30332-0415
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* All Rights Reserved
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* Authors: Frank Dellaert, et al. (see THANKS for the full author list)
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* See LICENSE for the license information
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* -------------------------------------------------------------------------- */
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/**
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* @file testImuPreintegration.cpp
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* @brief Unit tests for IMU Preintegration
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* @author Russell Buchanan
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**/
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#include <CppUnitLite/TestHarness.h>
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#include <gtsam/base/Testable.h>
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#include <gtsam/base/numericalDerivative.h>
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#include <gtsam/navigation/CombinedImuFactor.h>
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#include <gtsam/slam/dataset.h>
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#include <tests/ImuMeasurement.h>
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#include <fstream>
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#include <iostream>
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using namespace std;
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using namespace gtsam;
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/* ************************************************************************* */
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/**
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* \brief Uses the GTSAM library to perform IMU preintegration on an
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* acceleration input.
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*/
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TEST(TestImuPreintegration, LoadedSimulationData) {
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Vector3 finalPos(0, 0, 0);
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vector<ImuMeasurement> imuMeasurements;
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double accNoiseSigma = 0.001249;
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double accBiasRwSigma = 0.000106;
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double gyrNoiseSigma = 0.000208;
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double gyrBiasRwSigma = 0.000004;
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double integrationCovariance = 1e-8;
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double biasAccOmegaInt = 1e-5;
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double gravity = 9.81;
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double rate = 400.0; // Hz
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string inFileString = findExampleDataFile("quadraped_imu_data.csv");
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ifstream inputFile(inFileString);
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string line;
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while (getline(inputFile, line)) {
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stringstream ss(line);
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string str;
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vector<double> results;
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while (getline(ss, str, ',')) {
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results.push_back(atof(str.c_str()));
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}
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ImuMeasurement measurement;
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measurement.dt = static_cast<size_t>(1e9 * (1 / rate));
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measurement.time = results[2];
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measurement.I_a_WI = {results[29], results[30], results[31]};
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measurement.I_w_WI = {results[17], results[18], results[19]};
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imuMeasurements.push_back(measurement);
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}
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// Assume a Z-up navigation (assuming we are performing optimization in the
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// IMU frame).
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auto imuPreintegratedParams =
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PreintegratedCombinedMeasurements::Params::MakeSharedU(gravity);
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imuPreintegratedParams->accelerometerCovariance =
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I_3x3 * pow(accNoiseSigma, 2);
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imuPreintegratedParams->biasAccCovariance = I_3x3 * pow(accBiasRwSigma, 2);
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imuPreintegratedParams->gyroscopeCovariance = I_3x3 * pow(gyrNoiseSigma, 2);
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imuPreintegratedParams->biasOmegaCovariance = I_3x3 * pow(gyrBiasRwSigma, 2);
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imuPreintegratedParams->integrationCovariance = I_3x3 * integrationCovariance;
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imuPreintegratedParams->biasAccOmegaInt = I_6x6 * biasAccOmegaInt;
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// Initial state
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Pose3 priorPose;
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Vector3 priorVelocity(0, 0, 0);
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imuBias::ConstantBias priorImuBias;
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PreintegratedCombinedMeasurements imuPreintegrated;
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Vector3 position(0, 0, 0);
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Vector3 velocity(0, 0, 0);
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NavState propState;
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NavState initialNavState(priorPose, priorVelocity);
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// Assume zero bias for simulated data
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priorImuBias =
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imuBias::ConstantBias(Eigen::Vector3d(0, 0, 0), Eigen::Vector3d(0, 0, 0));
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imuPreintegrated =
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PreintegratedCombinedMeasurements(imuPreintegratedParams, priorImuBias);
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// start at 1 to skip header
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for (size_t n = 1; n < imuMeasurements.size(); n++) {
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// integrate
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imuPreintegrated.integrateMeasurement(imuMeasurements[n].I_a_WI,
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imuMeasurements[n].I_w_WI, 1 / rate);
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// predict
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propState = imuPreintegrated.predict(initialNavState, priorImuBias);
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position = propState.pose().translation();
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velocity = propState.velocity();
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}
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Vector3 rotation = propState.pose().rotation().rpy();
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// Dont have ground truth for x and y position yet
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// DOUBLES_EQUAL(0.1, position[0], 1e-2);
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// DOUBLES_EQUAL(0.1, position[1], 1e-2);
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DOUBLES_EQUAL(0.0, position[2], 1e-2);
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DOUBLES_EQUAL(0.0, rotation[0], 1e-2);
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DOUBLES_EQUAL(0.0, rotation[1], 1e-2);
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DOUBLES_EQUAL(0.0, rotation[2], 1e-2);
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}
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/* ************************************************************************* */
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int main() {
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TestResult tr;
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return TestRegistry::runAllTests(tr);
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}
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/* ************************************************************************* */
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