ekf2: refactor output predictor to class

- refactor all EKF backend output predictor pieces into new OutputPredictor class
 - output states are now calculated immediately with new high rate IMU rather than after EKF update
 - IMU delayed sample is passed as around as control data to avoid storing an extra copy and make the requirement clear
This commit is contained in:
Daniel Agar
2023-01-18 10:59:34 -05:00
committed by GitHub
parent c054ca20cc
commit 95300d5637
39 changed files with 855 additions and 618 deletions
+3 -3
View File
@@ -123,7 +123,7 @@ void Ekf::controlEvHeightFusion(const extVisionSample &ev_sample, const bool com
bias_est.setBias(-_state.pos(2) + measurement);
}
aid_src.time_last_fuse = _imu_sample_delayed.time_us;
aid_src.time_last_fuse = _time_delayed_us;
} else {
// EV has reset, but quality isn't sufficient
@@ -175,7 +175,7 @@ void Ekf::controlEvHeightFusion(const extVisionSample &ev_sample, const bool com
resetVerticalVelocityToZero();
}
aid_src.time_last_fuse = _imu_sample_delayed.time_us;
aid_src.time_last_fuse = _time_delayed_us;
} else if (is_fusion_failing) {
// A reset did not fix the issue but all the starting checks are not passing
@@ -206,7 +206,7 @@ void Ekf::controlEvHeightFusion(const extVisionSample &ev_sample, const bool com
bias_est.setBias(-_state.pos(2) + measurement);
}
aid_src.time_last_fuse = _imu_sample_delayed.time_us;
aid_src.time_last_fuse = _time_delayed_us;
bias_est.setFusionActive();
_control_status.flags.ev_hgt = true;
}