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https://gitee.com/mirrors_PX4/PX4-Autopilot.git
synced 2026-10-15 11:53:34 +08:00
add covariance matrices index aliases
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@@ -350,9 +350,10 @@ void AttitudeEstimatorQ::task_main()
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if (orb_copy(ORB_ID(vehicle_visual_odometry), _vision_odom_sub, &vision) == PX4_OK) {
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// validation check for vision attitude data
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bool vision_att_valid = PX4_ISFINITE(vision.q[0])
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&& (PX4_ISFINITE(vision.pose_covariance[0]) ? fabsf(sqrtf(fmaxf(vision.pose_covariance[15],
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fmaxf(vision.pose_covariance[18],
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vision.pose_covariance[20]))) - _eo_max_std_dev) < FLT_EPSILON : true);
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&& (PX4_ISFINITE(vision.pose_covariance[vision.COVARIANCE_MATRIX_ROLL_VARIANCE]) ? fabsf(sqrtf(fmaxf(
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vision.pose_covariance[vision.COVARIANCE_MATRIX_ROLL_VARIANCE],
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fmaxf(vision.pose_covariance[vision.COVARIANCE_MATRIX_PITCH_VARIANCE],
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vision.pose_covariance[vision.COVARIANCE_MATRIX_YAW_VARIANCE]))) - _eo_max_std_dev) < FLT_EPSILON : true);
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if (vision_att_valid) {
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Dcmf Rvis = Quatf(vision.q);
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@@ -381,9 +382,10 @@ void AttitudeEstimatorQ::task_main()
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if (orb_copy(ORB_ID(vehicle_mocap_odometry), _mocap_odom_sub, &mocap) == PX4_OK) {
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// validation check for mocap attitude data
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bool mocap_att_valid = PX4_ISFINITE(mocap.q[0])
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&& (PX4_ISFINITE(mocap.pose_covariance[0]) ? fabsf(sqrtf(fmaxf(mocap.pose_covariance[15],
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fmaxf(mocap.pose_covariance[18],
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mocap.pose_covariance[20]))) - _eo_max_std_dev) < FLT_EPSILON : true);
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&& (PX4_ISFINITE(mocap.pose_covariance[mocap.COVARIANCE_MATRIX_ROLL_VARIANCE]) ? fabsf(sqrtf(fmaxf(
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mocap.pose_covariance[mocap.COVARIANCE_MATRIX_ROLL_VARIANCE],
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fmaxf(mocap.pose_covariance[mocap.COVARIANCE_MATRIX_PITCH_VARIANCE],
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mocap.pose_covariance[mocap.COVARIANCE_MATRIX_YAW_VARIANCE]))) - _eo_max_std_dev) < FLT_EPSILON : true);
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if (mocap_att_valid) {
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Dcmf Rmoc = Quatf(mocap.q);
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@@ -1172,9 +1172,10 @@ void Ekf2::run()
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ev_data.posNED(2) = ev_odom.z;
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// position measurement error from parameters
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if (PX4_ISFINITE(ev_odom.pose_covariance[0])) {
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ev_data.posErr = fmaxf(_ev_pos_noise.get(), sqrtf(fmaxf(ev_odom.pose_covariance[0], ev_odom.pose_covariance[6])));
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ev_data.hgtErr = fmaxf(_ev_pos_noise.get(), sqrtf(fmaxf(ev_odom.pose_covariance[11]));
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if (PX4_ISFINITE(ev_odom.COVARIANCE_MATRIX_X_VARIANCE)) {
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ev_data.posErr = fmaxf(_ev_pos_noise.get(), sqrtf(fmaxf(ev_odom.pose_covariance[ev_odom.COVARIANCE_MATRIX_X_VARIANCE],
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ev_odom.pose_covariance[ev_odom.COVARIANCE_MATRIX_Y_VARIANCE])));
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ev_data.hgtErr = fmaxf(_ev_pos_noise.get(), sqrtf(ev_odom.pose_covariance[ev_odom.COVARIANCE_MATRIX_Z_VARIANCE])));
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} else {
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ev_data.posErr = _ev_pos_noise.get();
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ev_data.hgtErr = _ev_pos_noise.get();
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@@ -1186,9 +1187,11 @@ void Ekf2::run()
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ev_data.quat = matrix::Quatf(ev_odom.q);
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// orientation measurement error from parameters
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if (PX4_ISFINITE(ev_odom.pose_covariance[15])) {
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ev_data.angErr = fmaxf(_ev_ang_noise.get(), sqrtf(fmaxf(ev_odom.pose_covariance[15], fmaxf(ev_odom.pose_covariance[18],
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ev_odom.pose_covariance[20]))));
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if (PX4_ISFINITE(ev_odom.COVARIANCE_MATRIX_ROLL_VARIANCE)) {
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ev_data.angErr = fmaxf(_ev_ang_noise.get(),
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sqrtf(fmaxf(ev_odom.pose_covariance[ev_odom.COVARIANCE_MATRIX_ROLL_VARIANCE],
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fmaxf(ev_odom.pose_covariance[ev_odom.COVARIANCE_MATRIX_PITCH_VARIANCE],
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ev_odom.pose_covariance[ev_odom.COVARIANCE_MATRIX_YAW_VARIANCE]))));
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} else {
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ev_data.angErr = _ev_ang_noise.get();
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@@ -60,10 +60,15 @@ void BlockLocalPositionEstimator::mocapInit()
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int BlockLocalPositionEstimator::mocapMeasure(Vector<float, n_y_mocap> &y)
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{
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if (PX4_ISFINITE(_sub_mocap_odom.get().pose_covariance[0])) {
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uint8_t x_variance = _sub_mocap_odom.get().COVARIANCE_MATRIX_X_VARIANCE;
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uint8_t y_variance = _sub_mocap_odom.get().COVARIANCE_MATRIX_Y_VARIANCE;
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uint8_t z_variance = _sub_mocap_odom.get().COVARIANCE_MATRIX_Z_VARIANCE;
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if (PX4_ISFINITE(_sub_mocap_odom.get().pose_covariance[x_variance])) {
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// check if the mocap data is valid based on the covariances
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_mocap_eph = sqrtf(fmaxf(_sub_mocap_odom.get().pose_covariance[0], _sub_mocap_odom.get().pose_covariance[6]));
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_mocap_epv = sqrtf(_sub_mocap_odom.get().pose_covariance[11]);
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_mocap_eph = sqrtf(fmaxf(_sub_mocap_odom.get().pose_covariance[x_variance],
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_sub_mocap_odom.get().pose_covariance[y_variance]));
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_mocap_epv = sqrtf(_sub_mocap_odom.get().pose_covariance[z_variance]);
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_mocap_xy_valid = _mocap_eph <= EP_MAX_STD_DEV;
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_mocap_z_valid = _mocap_epv <= EP_MAX_STD_DEV;
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@@ -78,13 +83,20 @@ int BlockLocalPositionEstimator::mocapMeasure(Vector<float, n_y_mocap> &y)
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return -1;
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} else {
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y.setZero();
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y(Y_mocap_x) = _sub_mocap_odom.get().x;
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y(Y_mocap_y) = _sub_mocap_odom.get().y;
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y(Y_mocap_z) = _sub_mocap_odom.get().z;
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_mocapStats.update(y);
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_time_last_mocap = _sub_mocap_odom.get().timestamp;
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return OK;
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if (PX4_ISFINITE(_sub_mocap_odom.get().x)) {
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y.setZero();
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y(Y_mocap_x) = _sub_mocap_odom.get().x;
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y(Y_mocap_y) = _sub_mocap_odom.get().y;
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y(Y_mocap_z) = _sub_mocap_odom.get().z;
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_mocapStats.update(y);
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return OK;
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} else {
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return -1;
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}
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}
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}
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@@ -65,10 +65,15 @@ void BlockLocalPositionEstimator::visionInit()
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int BlockLocalPositionEstimator::visionMeasure(Vector<float, n_y_vision> &y)
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{
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if (PX4_ISFINITE(_sub_visual_odom.get().pose_covariance[0])) {
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uint8_t x_variance = _sub_visual_odom.get().COVARIANCE_MATRIX_X_VARIANCE;
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uint8_t y_variance = _sub_visual_odom.get().COVARIANCE_MATRIX_Y_VARIANCE;
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uint8_t z_variance = _sub_visual_odom.get().COVARIANCE_MATRIX_Z_VARIANCE;
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if (PX4_ISFINITE(_sub_visual_odom.get().pose_covariance[x_variance])) {
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// check if the vision data is valid based on the covariances
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_vision_eph = sqrtf(fmaxf(_sub_visual_odom.get().pose_covariance[0], _sub_visual_odom.get().pose_covariance[6]));
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_vision_epv = sqrtf(_sub_visual_odom.get().pose_covariance[11]);
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_vision_eph = sqrtf(fmaxf(_sub_visual_odom.get().pose_covariance[x_variance],
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_sub_visual_odom.get().pose_covariance[y_variance]));
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_vision_epv = sqrtf(_sub_visual_odom.get().pose_covariance[z_variance]);
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_vision_xy_valid = _vision_eph <= EP_MAX_STD_DEV;
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_vision_z_valid = _vision_epv <= EP_MAX_STD_DEV;
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@@ -83,13 +88,20 @@ int BlockLocalPositionEstimator::visionMeasure(Vector<float, n_y_vision> &y)
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return -1;
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} else {
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y.setZero();
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y(Y_vision_x) = _sub_visual_odom.get().x;
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y(Y_vision_y) = _sub_visual_odom.get().y;
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y(Y_vision_z) = _sub_visual_odom.get().z;
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_visionStats.update(y);
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_time_last_vision_p = _sub_visual_odom.get().timestamp;
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return OK;
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if (PX4_ISFINITE(_sub_visual_odom.get().x)) {
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y.setZero();
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y(Y_vision_x) = _sub_visual_odom.get().x;
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y(Y_vision_y) = _sub_visual_odom.get().y;
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y(Y_vision_z) = _sub_visual_odom.get().z;
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_visionStats.update(y);
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return OK;
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} else {
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return -1;
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}
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}
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}
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@@ -792,13 +792,17 @@ int position_estimator_inav_thread_main(int argc, char *argv[])
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static float last_vision_y = 0.0f;
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static float last_vision_z = 0.0f;
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vision_xy_valid = PX4_ISFINITE(visual_odom.pose_covariance[0]) ? sqrtf(fmaxf(visual_odom.pose_covariance[0],
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visual_odom.pose_covariance[6])) > ep_max_std_dev : true;
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vision_z_valid = PX4_ISFINITE(visual_odom.pose_covariance[0]) ? visual_odom.pose_covariance[11] > ep_max_std_dev :
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vision_xy_valid = PX4_ISFINITE(visual_odom.pose_covariance[visual_odom.COVARIANCE_MATRIX_X_VARIANCE]) ? sqrtf(fmaxf(
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visual_odom.pose_covariance[visual_odom.COVARIANCE_MATRIX_X_VARIANCE],
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visual_odom.pose_covariance[visual_odom.COVARIANCE_MATRIX_Y_VARIANCE])) > ep_max_std_dev : true;
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vision_z_valid = PX4_ISFINITE(visual_odom.pose_covariance[visual_odom.COVARIANCE_MATRIX_X_VARIANCE]) ?
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visual_odom.pose_covariance[visual_odom.COVARIANCE_MATRIX_Z_VARIANCE] > ep_max_std_dev :
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true;
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vision_vxy_valid = PX4_ISFINITE(visual_odom.velocity_covariance[0]) ? sqrtf(fmaxf(visual_odom.velocity_covariance[0],
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visual_odom.velocity_covariance[6])) > ev_max_std_dev : true;
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vision_vz_valid = PX4_ISFINITE(visual_odom.velocity_covariance[0]) ? visual_odom.velocity_covariance[11] >
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vision_vxy_valid = PX4_ISFINITE(visual_odom.velocity_covariance[visual_odom.COVARIANCE_MATRIX_VX_VARIANCE]) ? sqrtf(
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fmaxf(visual_odom.velocity_covariance[visual_odom.COVARIANCE_MATRIX_VX_VARIANCE],
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visual_odom.velocity_covariance[visual_odom.COVARIANCE_MATRIX_VY_VARIANCE])) > ev_max_std_dev : true;
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vision_vz_valid = PX4_ISFINITE(visual_odom.velocity_covariance[visual_odom.COVARIANCE_MATRIX_VX_VARIANCE]) ?
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visual_odom.velocity_covariance[visual_odom.COVARIANCE_MATRIX_VZ_VARIANCE] >
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ep_max_std_dev : true;
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/* reset position estimate on first vision update */
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@@ -913,9 +917,11 @@ int position_estimator_inav_thread_main(int argc, char *argv[])
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if (updated) {
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orb_copy(ORB_ID(vehicle_mocap_odometry), mocap_position_sub, &mocap);
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mocap_xy_valid = (PX4_ISFINITE(mocap.pose_covariance[0]) ? sqrtf(fmaxf(mocap.pose_covariance[0],
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mocap.pose_covariance[6])) > ep_max_std_dev : true) ? false : true;
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mocap_z_valid = (PX4_ISFINITE(mocap.pose_covariance[0]) ? mocap.pose_covariance[11] > ep_max_std_dev : true) ? false :
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mocap_xy_valid = (PX4_ISFINITE(mocap.pose_covariance[mocap.COVARIANCE_MATRIX_X_VARIANCE]) ? sqrtf(fmaxf(
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mocap.pose_covariance[mocap.COVARIANCE_MATRIX_X_VARIANCE],
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mocap.pose_covariance[mocap.COVARIANCE_MATRIX_Y_VARIANCE])) > ep_max_std_dev : true) ? false : true;
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mocap_z_valid = (PX4_ISFINITE(mocap.pose_covariance[mocap.COVARIANCE_MATRIX_X_VARIANCE]) ?
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mocap.pose_covariance[mocap.COVARIANCE_MATRIX_Z_VARIANCE] > ep_max_std_dev : true) ? false :
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true;
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if (!params.disable_mocap) {
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@@ -1131,6 +1131,8 @@ int Simulator::publish_odometry_topic(mavlink_message_t *odom_mavlink)
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odom.timestamp = timestamp;
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const size_t POS_URT_SIZE = sizeof(odom.pose_covariance) / sizeof(odom.pose_covariance[0]);
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if (odom_mavlink->msgid == MAVLINK_MSG_ID_ODOMETRY) {
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mavlink_odometry_t odom_msg;
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mavlink_msg_odometry_decode(odom_mavlink, &odom_msg);
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@@ -1155,7 +1157,6 @@ int Simulator::publish_odometry_topic(mavlink_message_t *odom_mavlink)
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matrix::Quatf q(odom_msg.q[0], odom_msg.q[1], odom_msg.q[2], odom_msg.q[3]);
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q.copyTo(odom.q);
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const size_t POS_URT_SIZE = sizeof(odom.pose_covariance) / sizeof(odom.pose_covariance[0]);
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static_assert(POS_URT_SIZE == (sizeof(odom_msg.pose_covariance) / sizeof(odom_msg.pose_covariance[0])),
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"Odometry Pose Covariance matrix URT array size mismatch");
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@@ -1194,8 +1195,11 @@ int Simulator::publish_odometry_topic(mavlink_message_t *odom_mavlink)
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matrix::Quatf q(matrix::Eulerf(ev.roll, ev.pitch, ev.yaw));
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q.copyTo(odom.q);
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static_assert(POS_URT_SIZE == (sizeof(ev.covariance) / sizeof(ev.covariance[0])),
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"Vision Position Estimate Pose Covariance matrix URT array size mismatch");
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/* The pose covariance URT */
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for (size_t i = 0; i < (sizeof(odom.pose_covariance) / sizeof(odom.pose_covariance[0])); i++) {
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for (size_t i = 0; i < POS_URT_SIZE; i++) {
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odom.pose_covariance[i] = ev.covariance[i];
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}
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