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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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