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* ekf2-flow: fix flow gyro bias compensation * ekf2-flow: apply flow gyro bias when used * ekf2: log optical flow gyro bias * ekf2: optical flow control always use provided flow gyro (with bias applied) * ekf2-flow: log flow gyro and gyro reference * ekf2-flow: support senrors with XY flow gyro --------- Co-authored-by: Daniel Agar <daniel@agar.ca> Co-authored-by: bresch <[brescianimathieu@gmail.com](mailto:brescianimathieu@gmail.com)>
497 lines
15 KiB
C++
497 lines
15 KiB
C++
/****************************************************************************
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*
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* Copyright (c) 2022 PX4 Development Team. All rights reserved.
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*
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* Redistribution and use in source and binary forms, with or without
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* modification, are permitted provided that the following conditions
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* are met:
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*
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* 1. Redistributions of source code must retain the above copyright
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* notice, this list of conditions and the following disclaimer.
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* 2. Redistributions in binary form must reproduce the above copyright
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* notice, this list of conditions and the following disclaimer in
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* the documentation and/or other materials provided with the
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* distribution.
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* 3. Neither the name PX4 nor the names of its contributors may be
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* used to endorse or promote products derived from this software
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* without specific prior written permission.
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*
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* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
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* "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
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* LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS
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* FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
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* COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,
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* INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
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* BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS
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* OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED
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* AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
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* LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN
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* ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
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* POSSIBILITY OF SUCH DAMAGE.
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*
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****************************************************************************/
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#include "VehicleOpticalFlow.hpp"
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#include <px4_platform_common/log.h>
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namespace sensors
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{
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using namespace matrix;
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using namespace time_literals;
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static constexpr uint32_t SENSOR_TIMEOUT{300_ms};
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VehicleOpticalFlow::VehicleOpticalFlow() :
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ModuleParams(nullptr),
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ScheduledWorkItem(MODULE_NAME, px4::wq_configurations::nav_and_controllers)
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{
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_vehicle_optical_flow_pub.advertise();
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_gyro_integrator.set_reset_samples(1);
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}
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VehicleOpticalFlow::~VehicleOpticalFlow()
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{
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Stop();
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perf_free(_cycle_perf);
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}
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bool VehicleOpticalFlow::Start()
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{
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_sensor_flow_sub.registerCallback();
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_sensor_gyro_sub.registerCallback();
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_sensor_gyro_sub.set_required_updates(sensor_gyro_s::ORB_QUEUE_LENGTH / 2);
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_sensor_selection_sub.registerCallback();
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ScheduleNow();
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return true;
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}
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void VehicleOpticalFlow::Stop()
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{
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Deinit();
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// clear all registered callbacks
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_sensor_flow_sub.unregisterCallback();
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_sensor_gyro_sub.unregisterCallback();
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_sensor_selection_sub.unregisterCallback();
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}
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void VehicleOpticalFlow::ParametersUpdate()
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{
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// Check if parameters have changed
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if (_params_sub.updated()) {
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// clear update
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parameter_update_s param_update;
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_params_sub.copy(¶m_update);
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updateParams();
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_flow_rotation = get_rot_matrix((enum Rotation)_param_sens_flow_rot.get());
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}
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}
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void VehicleOpticalFlow::Run()
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{
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perf_begin(_cycle_perf);
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ParametersUpdate();
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UpdateDistanceSensor();
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if (!_delta_angle_available) {
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UpdateSensorGyro();
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}
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sensor_optical_flow_s sensor_optical_flow;
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if (_sensor_flow_sub.update(&sensor_optical_flow)) {
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// clear data accumulation if there's a gap in data
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const uint64_t integration_gap_threshold_us = sensor_optical_flow.integration_timespan_us * 2;
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if ((sensor_optical_flow.timestamp_sample >= _flow_timestamp_sample_last + integration_gap_threshold_us)
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|| (_accumulated_count > 0 && (sensor_optical_flow.quality > 0) && _quality_sum == 0)) {
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ClearAccumulatedData();
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}
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const hrt_abstime timestamp_oldest = sensor_optical_flow.timestamp_sample - sensor_optical_flow.integration_timespan_us;
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const hrt_abstime timestamp_newest = sensor_optical_flow.timestamp;
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// delta angle
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// - from sensor_optical_flow if available, otherwise use synchronized sensor_gyro if available
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if (sensor_optical_flow.delta_angle_available && Vector2f(sensor_optical_flow.delta_angle).isAllFinite()) {
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// passthrough integrated gyro if available
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Vector3f delta_angle(sensor_optical_flow.delta_angle);
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if (!PX4_ISFINITE(delta_angle(2))) {
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// Some sensors only provide X and Y angular rates, rotate them but place back the NAN on the Z axis
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delta_angle(2) = 0.f;
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_delta_angle += _flow_rotation * delta_angle;
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_delta_angle(2) = NAN;
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} else {
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_delta_angle += _flow_rotation * delta_angle;
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}
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_delta_angle_available = true;
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} else {
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_delta_angle_available = false;
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// integrate synchronized gyro
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gyroSample gyro_sample;
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while (_gyro_buffer.pop_oldest(timestamp_oldest, timestamp_newest, &gyro_sample)) {
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_gyro_integrator.put(gyro_sample.data, gyro_sample.dt);
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float min_interval_s = (sensor_optical_flow.integration_timespan_us * 1e-6f) * 0.99f;
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if (_gyro_integrator.integral_dt() > min_interval_s) {
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//PX4_INFO("integral dt: %.6f, min interval: %.6f", (double)_gyro_integrator.integral_dt(),(double) min_interval_s);
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break;
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}
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}
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Vector3f delta_angle{NAN, NAN, NAN};
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uint16_t delta_angle_dt;
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if (_gyro_integrator.reset(delta_angle, delta_angle_dt)) {
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_delta_angle += delta_angle;
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} else {
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// force integrator reset
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_gyro_integrator.reset();
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}
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}
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// distance
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// - from sensor_optical_flow if available, otherwise use downward distance_sensor if available
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if (sensor_optical_flow.distance_available && PX4_ISFINITE(sensor_optical_flow.distance_m)) {
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if (!PX4_ISFINITE(_distance_sum)) {
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_distance_sum = sensor_optical_flow.distance_m;
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_distance_sum_count = 1;
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} else {
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_distance_sum += sensor_optical_flow.distance_m;
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_distance_sum_count += 1;
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}
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} else {
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// otherwise use buffered downward facing distance_sensor if available
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rangeSample range_sample;
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if (_range_buffer.peak_first_older_than(sensor_optical_flow.timestamp_sample, &range_sample)) {
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if (!PX4_ISFINITE(_distance_sum)) {
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_distance_sum = range_sample.data;
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_distance_sum_count = 1;
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} else {
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_distance_sum += range_sample.data;
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_distance_sum_count += 1;
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}
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}
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}
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_flow_timestamp_sample_last = sensor_optical_flow.timestamp_sample;
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_flow_integral(0) += sensor_optical_flow.pixel_flow[0];
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_flow_integral(1) += sensor_optical_flow.pixel_flow[1];
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_integration_timespan_us += sensor_optical_flow.integration_timespan_us;
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_quality_sum += sensor_optical_flow.quality;
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_accumulated_count++;
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bool publish = true;
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if (_param_sens_flow_rate.get() > 0) {
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const float interval_us = 1e6f / _param_sens_flow_rate.get();
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// don't allow publishing faster than SENS_FLOW_RATE
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if (_integration_timespan_us < interval_us) {
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publish = false;
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}
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}
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if (publish) {
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vehicle_optical_flow_s vehicle_optical_flow{};
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vehicle_optical_flow.timestamp_sample = sensor_optical_flow.timestamp_sample;
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vehicle_optical_flow.device_id = sensor_optical_flow.device_id;
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_flow_integral.copyTo(vehicle_optical_flow.pixel_flow);
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_delta_angle.copyTo(vehicle_optical_flow.delta_angle);
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vehicle_optical_flow.integration_timespan_us = _integration_timespan_us;
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vehicle_optical_flow.quality = _quality_sum / _accumulated_count;
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if (_distance_sum_count > 0 && PX4_ISFINITE(_distance_sum)) {
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vehicle_optical_flow.distance_m = _distance_sum / _distance_sum_count;
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} else {
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vehicle_optical_flow.distance_m = NAN;
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}
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// SENS_FLOW_MAXR
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if (PX4_ISFINITE(sensor_optical_flow.max_flow_rate)
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&& (sensor_optical_flow.max_flow_rate <= _param_sens_flow_maxr.get())) {
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vehicle_optical_flow.max_flow_rate = sensor_optical_flow.max_flow_rate;
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} else {
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vehicle_optical_flow.max_flow_rate = _param_sens_flow_maxr.get();
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}
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// SENS_FLOW_MINHGT
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if (PX4_ISFINITE(sensor_optical_flow.min_ground_distance)
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&& (sensor_optical_flow.min_ground_distance >= _param_sens_flow_minhgt.get())) {
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vehicle_optical_flow.min_ground_distance = sensor_optical_flow.min_ground_distance;
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} else {
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vehicle_optical_flow.min_ground_distance = _param_sens_flow_minhgt.get();
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}
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// SENS_FLOW_MAXHGT
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if (PX4_ISFINITE(sensor_optical_flow.max_ground_distance)
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&& (sensor_optical_flow.max_ground_distance <= _param_sens_flow_maxhgt.get())) {
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vehicle_optical_flow.max_ground_distance = sensor_optical_flow.max_ground_distance;
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} else {
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vehicle_optical_flow.max_ground_distance = _param_sens_flow_maxhgt.get();
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}
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// rotate (SENS_FLOW_ROT)
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float zeroval = 0.f;
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rotate_3f((enum Rotation)_param_sens_flow_rot.get(), vehicle_optical_flow.pixel_flow[0],
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vehicle_optical_flow.pixel_flow[1], zeroval);
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vehicle_optical_flow.timestamp = hrt_absolute_time();
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_vehicle_optical_flow_pub.publish(vehicle_optical_flow);
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// vehicle_optical_flow_vel if distance is available (for logging)
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if (_distance_sum_count > 0 && PX4_ISFINITE(_distance_sum)) {
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const float range = _distance_sum / _distance_sum_count;
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vehicle_optical_flow_vel_s flow_vel{};
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flow_vel.timestamp_sample = vehicle_optical_flow.timestamp_sample;
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// NOTE: the EKF uses the reverse sign convention to the flow sensor. EKF assumes positive LOS rate
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// is produced by a RH rotation of the image about the sensor axis.
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const Vector2f flow_xy_rad{-vehicle_optical_flow.pixel_flow[0], -vehicle_optical_flow.pixel_flow[1]};
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const Vector3f gyro_xyz{-vehicle_optical_flow.delta_angle[0], -vehicle_optical_flow.delta_angle[1], -vehicle_optical_flow.delta_angle[2]};
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const float flow_dt = 1e-6f * vehicle_optical_flow.integration_timespan_us;
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// compensate for body motion to give a LOS rate
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const Vector2f flow_compensated_XY_rad = flow_xy_rad - gyro_xyz.xy();
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Vector3f vel_optflow_body;
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vel_optflow_body(0) = - range * flow_compensated_XY_rad(1) / flow_dt;
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vel_optflow_body(1) = range * flow_compensated_XY_rad(0) / flow_dt;
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vel_optflow_body(2) = 0.f;
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// vel_body
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flow_vel.vel_body[0] = vel_optflow_body(0);
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flow_vel.vel_body[1] = vel_optflow_body(1);
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// vel_ne
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flow_vel.vel_ne[0] = NAN;
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flow_vel.vel_ne[1] = NAN;
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vehicle_attitude_s vehicle_attitude{};
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if (_vehicle_attitude_sub.copy(&vehicle_attitude)) {
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const matrix::Dcmf R_to_earth = matrix::Quatf(vehicle_attitude.q);
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const Vector3f flow_vel_ne = R_to_earth * vel_optflow_body;
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flow_vel.vel_ne[0] = flow_vel_ne(0);
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flow_vel.vel_ne[1] = flow_vel_ne(1);
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}
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// flow_uncompensated_integral
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flow_xy_rad.copyTo(flow_vel.flow_uncompensated_integral);
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// flow_compensated_integral
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flow_compensated_XY_rad.copyTo(flow_vel.flow_compensated_integral);
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const Vector3f measured_body_rate(gyro_xyz * (1.f / flow_dt));
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// gyro_rate
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flow_vel.gyro_rate[0] = measured_body_rate(0);
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flow_vel.gyro_rate[1] = measured_body_rate(1);
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flow_vel.gyro_rate[2] = measured_body_rate(2);
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// gyro_rate_integral
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flow_vel.gyro_rate_integral[0] = gyro_xyz(0);
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flow_vel.gyro_rate_integral[1] = gyro_xyz(1);
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flow_vel.gyro_rate_integral[2] = gyro_xyz(2);
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flow_vel.timestamp = hrt_absolute_time();
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_vehicle_optical_flow_vel_pub.publish(flow_vel);
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}
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ClearAccumulatedData();
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}
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}
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// reschedule backup
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ScheduleDelayed(10_ms);
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perf_end(_cycle_perf);
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}
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void VehicleOpticalFlow::UpdateDistanceSensor()
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{
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// update range finder buffer
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distance_sensor_s distance_sensor;
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if ((_distance_sensor_selected < 0) && _distance_sensor_subs.advertised()) {
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for (unsigned i = 0; i < _distance_sensor_subs.size(); i++) {
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if (_distance_sensor_subs[i].update(&distance_sensor)) {
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// only use the first instace which has the correct orientation
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if ((hrt_elapsed_time(&distance_sensor.timestamp) < 100_ms)
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&& (distance_sensor.orientation == distance_sensor_s::ROTATION_DOWNWARD_FACING)) {
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int ndist = orb_group_count(ORB_ID(distance_sensor));
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if (ndist > 1) {
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PX4_INFO("selected distance_sensor:%d (%d advertised)", i, ndist);
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}
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_distance_sensor_selected = i;
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_last_range_sensor_update = distance_sensor.timestamp;
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break;
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}
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}
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}
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}
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if (_distance_sensor_selected >= 0 && _distance_sensor_subs[_distance_sensor_selected].update(&distance_sensor)) {
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// range sample
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if (distance_sensor.orientation == distance_sensor_s::ROTATION_DOWNWARD_FACING) {
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if ((distance_sensor.current_distance >= distance_sensor.min_distance)
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&& (distance_sensor.current_distance <= distance_sensor.max_distance)) {
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rangeSample sample;
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sample.time_us = distance_sensor.timestamp;
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sample.data = distance_sensor.current_distance;
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_range_buffer.push(sample);
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_last_range_sensor_update = distance_sensor.timestamp;
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return;
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}
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} else {
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_distance_sensor_selected = -1;
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}
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}
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if (hrt_elapsed_time(&_last_range_sensor_update) > 1_s) {
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_distance_sensor_selected = -1;
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}
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}
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void VehicleOpticalFlow::UpdateSensorGyro()
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{
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if (_sensor_selection_sub.updated()) {
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sensor_selection_s sensor_selection{};
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_sensor_selection_sub.copy(&sensor_selection);
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for (uint8_t i = 0; i < MAX_SENSOR_COUNT; i++) {
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uORB::SubscriptionData<sensor_gyro_s> sensor_gyro_sub{ORB_ID(sensor_gyro), i};
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if (sensor_gyro_sub.advertised()
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&& (sensor_gyro_sub.get().timestamp != 0)
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&& (sensor_gyro_sub.get().device_id != 0)
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&& (hrt_elapsed_time(&sensor_gyro_sub.get().timestamp) < 1_s)) {
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if (sensor_gyro_sub.get().device_id == sensor_selection.gyro_device_id) {
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if (_sensor_gyro_sub.ChangeInstance(i) && _sensor_gyro_sub.registerCallback()) {
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_gyro_calibration.set_device_id(sensor_gyro_sub.get().device_id);
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PX4_DEBUG("selecting sensor_gyro:%" PRIu8 " %" PRIu32, i, sensor_gyro_sub.get().device_id);
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break;
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} else {
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PX4_ERR("unable to register callback for sensor_gyro:%" PRIu8 " %" PRIu32, i, sensor_gyro_sub.get().device_id);
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}
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}
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}
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}
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}
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// buffer
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bool sensor_gyro_lost_printed = false;
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int gyro_updates = 0;
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while (_sensor_gyro_sub.updated() && (gyro_updates < sensor_gyro_s::ORB_QUEUE_LENGTH)) {
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gyro_updates++;
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const unsigned last_generation = _sensor_gyro_sub.get_last_generation();
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sensor_gyro_s sensor_gyro;
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if (_sensor_gyro_sub.copy(&sensor_gyro)) {
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if (_sensor_gyro_sub.get_last_generation() != last_generation + 1) {
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if (!sensor_gyro_lost_printed) {
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PX4_ERR("sensor_gyro lost, generation %u -> %u", last_generation, _sensor_gyro_sub.get_last_generation());
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sensor_gyro_lost_printed = true;
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}
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}
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_gyro_calibration.set_device_id(sensor_gyro.device_id);
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_gyro_calibration.SensorCorrectionsUpdate();
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const float dt_s = (sensor_gyro.timestamp_sample - _gyro_timestamp_sample_last) * 1e-6f;
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_gyro_timestamp_sample_last = sensor_gyro.timestamp_sample;
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gyroSample gyro_sample;
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gyro_sample.time_us = sensor_gyro.timestamp_sample;
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gyro_sample.data = _gyro_calibration.Correct(Vector3f{sensor_gyro.x, sensor_gyro.y, sensor_gyro.z});
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gyro_sample.dt = dt_s;
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_gyro_buffer.push(gyro_sample);
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}
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}
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}
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void VehicleOpticalFlow::ClearAccumulatedData()
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{
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// clear accumulated data
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_flow_integral.zero();
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_integration_timespan_us = 0;
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_delta_angle.zero();
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_distance_sum = NAN;
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_distance_sum_count = 0;
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_quality_sum = 0;
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_accumulated_count = 0;
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_gyro_integrator.reset();
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}
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void VehicleOpticalFlow::PrintStatus()
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{
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}
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}; // namespace sensors
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