/**************************************************************************** * * Copyright (c) 2019 ECL Development Team. All rights reserved. * * Redistribution and use in source and binary forms, with or without * modification, are permitted provided that the following conditions * are met: * * 1. Redistributions of source code must retain the above copyright * notice, this list of conditions and the following disclaimer. * 2. Redistributions in binary form must reproduce the above copyright * notice, this list of conditions and the following disclaimer in * the documentation and/or other materials provided with the * distribution. * 3. Neither the name PX4 nor the names of its contributors may be * used to endorse or promote products derived from this software * without specific prior written permission. * * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS * "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS * FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE * COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, * INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, * BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS * OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED * AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT * LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN * ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE * POSSIBILITY OF SUCH DAMAGE. * ****************************************************************************/ /** * Test the gps fusion * @author Kamil Ritz */ #include #include "EKF/ekf.h" #include "sensor_simulator/sensor_simulator.h" #include "sensor_simulator/ekf_wrapper.h" #include "test_helper/reset_logging_checker.h" class EkfGpsTest : public ::testing::Test { public: EkfGpsTest(): ::testing::Test(), _ekf{std::make_shared()}, _sensor_simulator(_ekf), _ekf_wrapper(_ekf) {}; std::shared_ptr _ekf; SensorSimulator _sensor_simulator; EkfWrapper _ekf_wrapper; // Setup the Ekf with synthetic measurements void SetUp() override { // run briefly to init, then manually set in air and at rest (default for a real vehicle) _ekf->init(0); _sensor_simulator.runSeconds(0.1); _ekf->set_in_air_status(false); _ekf->set_vehicle_at_rest(true); _sensor_simulator.runSeconds(2); _ekf_wrapper.enableGpsFusion(); _sensor_simulator.startGps(); _sensor_simulator.runSeconds(11); } // Use this method to clean up any memory, network etc. after each test void TearDown() override { } }; TEST_F(EkfGpsTest, gpsTimeout) { // GIVEN:EKF that fuses GPS // WHEN: setting the PDOP to high _sensor_simulator._gps.setNumberOfSatellites(3); // THEN: EKF should stop fusing GPS _sensor_simulator.runSeconds(20); // TODO: this is not happening as expected EXPECT_TRUE(_ekf_wrapper.isIntendingGpsFusion()); } TEST_F(EkfGpsTest, resetToGpsVelocity) { ResetLoggingChecker reset_logging_checker(_ekf); // GIVEN:EKF that fuses GPS // and has gps checks already passed // WHEN: stopping GPS fusion _sensor_simulator.stopGps(); _sensor_simulator.runSeconds(11); reset_logging_checker.capturePreResetState(); // AND: simulate constant velocity gps samples for short time _sensor_simulator.startGps(); const Vector3f simulated_velocity(0.5f, 1.0f, -0.3f); _sensor_simulator._gps.setVelocity(simulated_velocity); const uint64_t dt_us = 1e5; _sensor_simulator._gps.stepHorizontalPositionByMeters(Vector2f(simulated_velocity) * dt_us * 1e-6); _sensor_simulator._gps.stepHeightByMeters(simulated_velocity(2) * dt_us * 1e-6f); _ekf->set_in_air_status(true); _ekf->set_vehicle_at_rest(false); _sensor_simulator.runMicroseconds(dt_us); // THEN: a reset to GPS velocity should be done const Vector3f estimated_velocity = _ekf->getVelocity(); EXPECT_NEAR(estimated_velocity(0), simulated_velocity(0), 1e-3f); EXPECT_NEAR(estimated_velocity(1), simulated_velocity(1), 1e-3f); EXPECT_NEAR(estimated_velocity(2), simulated_velocity(2), 1e-3f); // AND: the reset in velocity should be saved correctly reset_logging_checker.capturePostResetState(); EXPECT_TRUE(reset_logging_checker.isHorizontalVelocityResetCounterIncreasedBy(1)); EXPECT_TRUE(reset_logging_checker.isVerticalVelocityResetCounterIncreasedBy(1)); EXPECT_TRUE(reset_logging_checker.isVelocityDeltaLoggedCorrectly(1e-2f)); } TEST_F(EkfGpsTest, resetToGpsPosition) { // GIVEN:EKF that fuses GPS // and has gps checks already passed const Vector3f previous_position = _ekf->getPosition(); // WHEN: stopping GPS fusion _sensor_simulator.stopGps(); _sensor_simulator.runSeconds(11); // AND: simulate jump in position _sensor_simulator.startGps(); const Vector3f simulated_position_change(2.0f, -1.0f, 0.f); _sensor_simulator._gps.stepHorizontalPositionByMeters( Vector2f(simulated_position_change)); _sensor_simulator.runMicroseconds(1e5); // THEN: a reset to the new GPS position should be done const Vector3f estimated_position = _ekf->getPosition(); EXPECT_TRUE(isEqual(estimated_position, previous_position + simulated_position_change, 1e-2f)); } TEST_F(EkfGpsTest, gpsHgtToBaroFallback) { // GIVEN: EKF that fuses GPS and flow, and in GPS height mode _sensor_simulator._flow.setData(_sensor_simulator._flow.dataAtRest()); _ekf_wrapper.enableFlowFusion(); _sensor_simulator.startFlow(); _ekf_wrapper.enableGpsHeightFusion(); _sensor_simulator.runSeconds(1); EXPECT_TRUE(_ekf_wrapper.isIntendingGpsHeightFusion()); EXPECT_TRUE(_ekf_wrapper.isIntendingFlowFusion()); EXPECT_TRUE(_ekf_wrapper.isIntendingBaroHeightFusion()); // WHEN: stopping GPS fusion _sensor_simulator.stopGps(); _sensor_simulator.runSeconds(11); // THEN: the height source should automatically change to baro EXPECT_FALSE(_ekf_wrapper.isIntendingGpsHeightFusion()); EXPECT_TRUE(_ekf_wrapper.isIntendingBaroHeightFusion()); } TEST_F(EkfGpsTest, altitudeDrift) { // GIVEN: a drifting GNSS altitude const float dt = 0.2f; const float height_rate = 0.15f; const float duration = 80.f; // WHEN: running on ground for (int i = 0; i < (duration / dt); i++) { _sensor_simulator._gps.stepHeightByMeters(height_rate * dt); _sensor_simulator.runSeconds(dt); } float baro_innov; _ekf->getBaroHgtInnov(baro_innov); BiasEstimator::status status = _ekf->getBaroBiasEstimatorStatus(); printf("baro innov = %f\n", (double)baro_innov); printf("bias: %f, innov bias = %f\n", (double)status.bias, (double)status.innov); // THEN: the baro and local position should follow it EXPECT_LT(fabsf(baro_innov), 0.1f); }