estimator_aid_source split GNSS pos (3d) -> pos (2d) + hgt

- per estimator air source status only keep a single set of flags and
timestamp that applies to the entire source
This commit is contained in:
Daniel Agar
2022-10-13 11:28:50 -04:00
parent 8a9a091ff3
commit 2de990fd4b
26 changed files with 578 additions and 691 deletions
+38 -14
View File
@@ -240,6 +240,8 @@ void Ekf::controlExternalVisionFusion()
// determine if we should use the horizontal position observations
if (_control_status.flags.ev_pos) {
resetEstimatorAidStatus(_aid_src_ev_pos);
if (reset && _control_status_prev.flags.ev_pos) {
if (!_fuse_hpos_as_odom) {
resetHorizontalPositionToVision();
@@ -272,14 +274,23 @@ void Ekf::controlExternalVisionFusion()
Vector3f ev_delta_pos = _R_ev_to_ekf * Vector3f(_ev_sample_delayed.pos - _ev_sample_delayed_prev.pos);
// use the change in position since the last measurement
_ev_pos_innov(0) = _state.pos(0) - _hpos_pred_prev(0) - ev_delta_pos(0);
_ev_pos_innov(1) = _state.pos(1) - _hpos_pred_prev(1) - ev_delta_pos(1);
_aid_src_ev_pos.observation[0] = ev_delta_pos(0);
_aid_src_ev_pos.observation[1] = ev_delta_pos(1);
_aid_src_ev_pos.innovation[0] = _state.pos(0) - _hpos_pred_prev(0) - ev_delta_pos(0);
_aid_src_ev_pos.innovation[1] = _state.pos(1) - _hpos_pred_prev(1) - ev_delta_pos(1);
// observation 1-STD error, incremental pos observation is expected to have more uncertainty
Matrix3f ev_pos_var = matrix::diag(_ev_sample_delayed.posVar);
ev_pos_var = _R_ev_to_ekf * ev_pos_var * _R_ev_to_ekf.transpose();
ev_pos_obs_var(0) = fmaxf(ev_pos_var(0, 0), sq(0.5f));
ev_pos_obs_var(1) = fmaxf(ev_pos_var(1, 1), sq(0.5f));
_aid_src_ev_pos.observation_variance[0] = ev_pos_obs_var(0);
_aid_src_ev_pos.observation_variance[1] = ev_pos_obs_var(1);
_aid_src_ev_pos.innovation_variance[0] = P(7, 7) + _aid_src_ev_pos.observation_variance[0];
_aid_src_ev_pos.innovation_variance[1] = P(8, 8) + _aid_src_ev_pos.observation_variance[1];
}
} else {
// use the absolute position
@@ -291,11 +302,17 @@ void Ekf::controlExternalVisionFusion()
ev_pos_var = _R_ev_to_ekf * ev_pos_var * _R_ev_to_ekf.transpose();
}
_ev_pos_innov(0) = _state.pos(0) - ev_pos_meas(0);
_ev_pos_innov(1) = _state.pos(1) - ev_pos_meas(1);
_aid_src_ev_pos.observation[0] = ev_pos_meas(0);
_aid_src_ev_pos.observation[1] = ev_pos_meas(1);
ev_pos_obs_var(0) = fmaxf(ev_pos_var(0, 0), sq(0.01f));
ev_pos_obs_var(1) = fmaxf(ev_pos_var(1, 1), sq(0.01f));
_aid_src_ev_pos.observation_variance[0] = fmaxf(ev_pos_var(0, 0), sq(0.01f));
_aid_src_ev_pos.observation_variance[1] = fmaxf(ev_pos_var(1, 1), sq(0.01f));
_aid_src_ev_pos.innovation[0] = _state.pos(0) - _aid_src_ev_pos.observation[0];
_aid_src_ev_pos.innovation[1] = _state.pos(1) - _aid_src_ev_pos.observation[1];
_aid_src_ev_pos.innovation_variance[0] = P(7, 7) + _aid_src_ev_pos.observation_variance[0];
_aid_src_ev_pos.innovation_variance[1] = P(8, 8) + _aid_src_ev_pos.observation_variance[1];
// check if we have been deadreckoning too long
if (isTimedOut(_time_last_hor_pos_fuse, _params.reset_timeout_max)) {
@@ -314,8 +331,12 @@ void Ekf::controlExternalVisionFusion()
// innovation gate size
const float ev_pos_innov_gate = fmaxf(_params.ev_pos_innov_gate, 1.0f);
setEstimatorAidStatusTestRatio(_aid_src_ev_pos, ev_pos_innov_gate);
fuseHorizontalPosition(_ev_pos_innov, ev_pos_innov_gate, ev_pos_obs_var, _ev_pos_innov_var, _ev_pos_test_ratio);
_aid_src_ev_pos.timestamp_sample = _ev_sample_delayed.time_us;
_aid_src_ev_pos.fusion_enabled = true;
fuseHorizontalPosition(_aid_src_ev_pos);
}
// determine if we should use the velocity observations
@@ -324,8 +345,6 @@ void Ekf::controlExternalVisionFusion()
resetVelocityToVision();
}
_ev_vel_innov = _state.vel - getVisionVelocityInEkfFrame();
// check if we have been deadreckoning too long
if (isTimedOut(_time_last_hor_vel_fuse, _params.reset_timeout_max)) {
// only reset velocity if we have no another source of aiding constraining it
@@ -335,12 +354,17 @@ void Ekf::controlExternalVisionFusion()
}
}
resetEstimatorAidStatus(_aid_src_ev_vel);
const Vector3f obs_var = matrix::max(getVisionVelocityVarianceInEkfFrame(), sq(0.05f));
const float innov_gate = fmaxf(_params.ev_vel_innov_gate, 1.f);
fuseHorizontalVelocity(_ev_vel_innov, innov_gate, obs_var, _ev_vel_innov_var, _ev_vel_test_ratio);
fuseVerticalVelocity(_ev_vel_innov, innov_gate, obs_var, _ev_vel_innov_var, _ev_vel_test_ratio);
updateVelocityAidSrcStatus(_ev_sample_delayed.time_us, getVisionVelocityInEkfFrame(), obs_var, innov_gate, _aid_src_ev_vel);
_aid_src_ev_vel.fusion_enabled = true;
fuseVelocity(_aid_src_ev_vel);
}
// determine if we should use the yaw observation
@@ -752,12 +776,12 @@ void Ekf::controlAuxVelFusion()
if (_auxvel_buffer->pop_first_older_than(_imu_sample_delayed.time_us, &auxvel_sample_delayed)) {
resetEstimatorAidStatus(_aid_src_aux_vel);
updateVelocityAidSrcStatus(auxvel_sample_delayed.time_us, auxvel_sample_delayed.vel, auxvel_sample_delayed.velVar, fmaxf(_params.auxvel_gate, 1.f), _aid_src_aux_vel);
if (isHorizontalAidingActive()) {
_aid_src_aux_vel.fusion_enabled[0] = PX4_ISFINITE(auxvel_sample_delayed.vel(0));
_aid_src_aux_vel.fusion_enabled[1] = PX4_ISFINITE(auxvel_sample_delayed.vel(1));
_aid_src_aux_vel.fusion_enabled[2] = PX4_ISFINITE(auxvel_sample_delayed.vel(2));
_aid_src_aux_vel.fusion_enabled = true;
fuseVelocity(_aid_src_aux_vel);
}
}