EKF: Add fusion of external vision 3D pos data

This commit is contained in:
Paul Riseborough
2016-03-20 21:42:22 +11:00
parent 81469d6621
commit 25f1d1d766
2 changed files with 32 additions and 9 deletions
+9 -2
View File
@@ -303,6 +303,15 @@ bool Ekf::update()
}
// If we are using external vision aiding and data has fallen behind the fusion time horizon then fuse it
if (_ext_vision_buffer.pop_first_older_than(_imu_sample_delayed.time_us, &_ev_sample_delayed)) {
// use external vision posiiton and height observations
if (_control_status.flags.ev_pos) {
_fuse_pos = true;
_fuse_height = true;
}
}
// If we are using optical flow aiding and data has fallen behind the fusion time horizon, then fuse it
if (_flow_buffer.pop_first_older_than(_imu_sample_delayed.time_us, &_flow_sample_delayed)
&& _control_status.flags.opt_flow && (_time_last_imu - _time_last_optflow) < 2e5
@@ -315,8 +324,6 @@ bool Ekf::update()
if (!_control_status.flags.gps && !_control_status.flags.opt_flow
&& ((_time_last_imu - _time_last_fake_gps > 2e5) || _fuse_height)) {
_fuse_pos = true;
_gps_sample_delayed.pos(0) = _last_known_posNE(0);
_gps_sample_delayed.pos(1) = _last_known_posNE(1);
_time_last_fake_gps = _time_last_imu;
}
+23 -7
View File
@@ -83,24 +83,31 @@ void Ekf::fuseVelPosHeight()
if (_fuse_pos) {
fuse_map[3] = fuse_map[4] = true;
// horizontal position innovations
_vel_pos_innov[3] = _state.pos(0) - _gps_sample_delayed.pos(0);
_vel_pos_innov[4] = _state.pos(1) - _gps_sample_delayed.pos(1);
// observation variance - user parameter defined
// if we are in flight and not using GPS, then use a specific parameter
if (!_control_status.flags.gps) {
// Calculate innovations and observation variance depending on type of observations
// being used
if (!_control_status.flags.gps && !_control_status.flags.ev_pos) {
// No observations - use a static position to constrain drift
if (_control_status.flags.in_air) {
R[3] = fmaxf(_params.pos_noaid_noise, _params.gps_pos_noise);
} else {
R[3] = _params.gps_pos_noise;
}
_vel_pos_innov[3] = _state.pos(0) - _last_known_posNE(0);
_vel_pos_innov[4] = _state.pos(1) - _last_known_posNE(1);
} else {
} else if (_control_status.flags.gps) {
float lower_limit = fmaxf(_params.gps_pos_noise, 0.01f);
float upper_limit = fmaxf(_params.pos_noaid_noise, lower_limit);
R[3] = math::constrain(_gps_sample_delayed.hacc, lower_limit, upper_limit);
_vel_pos_innov[3] = _state.pos(0) - _gps_sample_delayed.pos(0);
_vel_pos_innov[4] = _state.pos(1) - _gps_sample_delayed.pos(1);
} else if (_control_status.flags.ev_pos) {
R[3] = fmaxf(_ev_sample_delayed.posErr, 0.01f);
_vel_pos_innov[3] = _state.pos(0) - _ev_sample_delayed.posNED(0);
_vel_pos_innov[4] = _state.pos(1) - _ev_sample_delayed.posNED(1);
}
@@ -145,6 +152,15 @@ void Ekf::fuseVelPosHeight()
R[5] = R[5] * R[5];
// innovation gate size
gate_size[5] = fmaxf(_params.range_innov_gate, 1.0f);
} else if (_control_status.flags.ev_pos) {
fuse_map[5] = true;
// calculate the innovation assuming the external vision observaton is in local NED frame
_vel_pos_innov[5] = _state.pos(2) - _ev_sample_delayed.posNED(2);
// observation variance - defined externally
R[5] = fmaxf(_ev_sample_delayed.posErr, 0.01f);
R[5] = R[5] * R[5];
// innovation gate size
gate_size[5] = fmaxf(_params.baro_innov_gate, 1.0f);
}
}