lpe: add vehicle_odometry and data validation handlers; improve inout interface

This commit is contained in:
TSC21
2018-09-18 09:52:33 +02:00
committed by Lorenz Meier
parent 7303005373
commit 048ff56890
8 changed files with 260 additions and 90 deletions
@@ -36,8 +36,10 @@ void BlockLocalPositionEstimator::flowInit()
int BlockLocalPositionEstimator::flowMeasure(Vector<float, n_y_flow> &y)
{
matrix::Eulerf euler(matrix::Quatf(_sub_att.get().q));
// check for sane pitch/roll
if (_eul(0) > 0.5f || _eul(1) > 0.5f) {
if (euler.phi() > 0.5f || euler.theta() > 0.5f) {
return -1;
}
@@ -58,8 +60,6 @@ int BlockLocalPositionEstimator::flowMeasure(Vector<float, n_y_flow> &y)
return -1;
}
matrix::Eulerf euler = matrix::Quatf(_sub_att.get().q);
float d = agl() * cosf(euler.phi()) * cosf(euler.theta());
// optical flow in x, y axis
@@ -159,7 +159,8 @@ void BlockLocalPositionEstimator::flowCorrect()
+ _sub_att.get().pitchspeed * _sub_att.get().pitchspeed
+ _sub_att.get().yawspeed * _sub_att.get().yawspeed;
float rot_sq = _eul(0) * _eul(0) + _eul(1) * _eul(1);
matrix::Eulerf euler(matrix::Quatf(_sub_att.get().q));
float rot_sq = euler.phi() * euler.phi() + euler.theta() * euler.theta();
R(Y_flow_vx, Y_flow_vx) = flow_vxy_stddev * flow_vxy_stddev +
_flow_r.get() * _flow_r.get() * rot_sq +
@@ -113,9 +113,9 @@ void BlockLocalPositionEstimator::gpsCorrect()
if (gpsMeasure(y_global) != OK) { return; }
// gps measurement in local frame
double lat = y_global(Y_gps_x);
double lon = y_global(Y_gps_y);
float alt = y_global(Y_gps_z);
double lat = y_global(Y_gps_x);
double lon = y_global(Y_gps_y);
float alt = y_global(Y_gps_z);
float px = 0;
float py = 0;
float pz = -(alt - _gpsAltOrigin);
@@ -189,7 +189,7 @@ void BlockLocalPositionEstimator::gpsCorrect()
Matrix<float, n_y_gps, n_y_gps> S = C * _P * C.transpose() + R;
// publish innovations
for (int i = 0; i < 6; i++) {
for (size_t i = 0; i < 6; i++) {
_pub_innov.get().vel_pos_innov[i] = r(i);
_pub_innov.get().vel_pos_innov_var[i] = S(i, i);
}
@@ -52,9 +52,10 @@ int BlockLocalPositionEstimator::lidarMeasure(Vector<float, n_y_lidar> &y)
_lidarStats.update(Scalarf(d));
_time_last_lidar = _timeStamp;
y.setZero();
matrix::Eulerf euler(matrix::Quatf(_sub_att.get().q));
y(0) = (d + _lidar_z_offset.get()) *
cosf(_eul(0)) *
cosf(_eul(1));
cosf(euler.phi()) *
cosf(euler.theta());
return OK;
}
@@ -9,6 +9,10 @@ extern orb_advert_t mavlink_log_pub;
static const uint32_t REQ_MOCAP_INIT_COUNT = 20;
static const uint32_t MOCAP_TIMEOUT = 200000; // 0.2 s
// set pose/velocity as invalid if standard deviation is bigger than EP_MAX_STD_DEV
// TODO: the user should be allowed to set these values by a parameter
static constexpr float EP_MAX_STD_DEV = 100.0f;
void BlockLocalPositionEstimator::mocapInit()
{
// measure
@@ -32,23 +36,55 @@ void BlockLocalPositionEstimator::mocapInit()
_sensorTimeout &= ~SENSOR_MOCAP;
_sensorFault &= ~SENSOR_MOCAP;
// get reference for global position
globallocalconverter_getref(&_ref_lat, &_ref_lon, &_ref_alt);
_global_ref_timestamp = hrt_absolute_time();
_is_global_cov_init = globallocalconverter_initialized();
if (!_map_ref.init_done && _is_global_cov_init && !FUSE_VIS_POS) {
// initialize global origin using the mocap estimator reference (only if the vision estimation is not being fused as well)
mavlink_and_console_log_info(&mavlink_log_pub, "[lpe] global origin init (mocap) : lat %6.2f lon %6.2f alt %5.1f m",
double(_ref_lat), double(_ref_lon), double(_ref_alt));
map_projection_init(&_map_ref, _ref_lat, _ref_lon);
// set timestamp when origin was set to current time
_time_origin = _timeStamp;
}
if (!_altOriginInitialized) {
_altOriginInitialized = true;
_altOriginGlobal = false;
_altOrigin = 0;
_altOriginGlobal = true;
_altOrigin = globallocalconverter_initialized() ? _ref_alt : 0.0f;
}
}
}
int BlockLocalPositionEstimator::mocapMeasure(Vector<float, n_y_mocap> &y)
{
y.setZero();
y(Y_mocap_x) = _sub_mocap.get().x;
y(Y_mocap_y) = _sub_mocap.get().y;
y(Y_mocap_z) = _sub_mocap.get().z;
_mocapStats.update(y);
_time_last_mocap = _sub_mocap.get().timestamp;
return OK;
if (!PX4_ISFINITE(_sub_mocap_odom.get().pose_covariance[0])) {
// check if the mocap data is valid based on the covariances
_mocap_eph = sqrtf(fmaxf(_sub_mocap_odom.get().pose_covariance[0], _sub_mocap_odom.get().pose_covariance[6]));
_mocap_epv = sqrtf(_sub_mocap_odom.get().pose_covariance[11]);
_mocap_xy_valid = _mocap_eph <= EP_MAX_STD_DEV;
_mocap_z_valid = _mocap_epv <= EP_MAX_STD_DEV;
} else {
// if we don't have covariances, assume every reading
_mocap_xy_valid = true;
_mocap_z_valid = true;
}
if (!_mocap_xy_valid || !_mocap_z_valid) {
_time_last_mocap = _sub_mocap_odom.get().timestamp;
return !OK;
} else {
y.setZero();
y(Y_mocap_x) = _sub_mocap_odom.get().x;
y(Y_mocap_y) = _sub_mocap_odom.get().y;
y(Y_mocap_z) = _sub_mocap_odom.get().z;
_mocapStats.update(y);
_time_last_mocap = _sub_mocap_odom.get().timestamp;
return OK;
}
}
void BlockLocalPositionEstimator::mocapCorrect()
@@ -56,7 +92,10 @@ void BlockLocalPositionEstimator::mocapCorrect()
// measure
Vector<float, n_y_mocap> y;
if (mocapMeasure(y) != OK) { return; }
if (mocapMeasure(y) != OK) {
mavlink_and_console_log_info(&mavlink_log_pub, "[lpe] mocap data invalid. eph: %f epv: %f", _mocap_eph, _mocap_epv);
return;
}
// mocap measurement matrix, measures position
Matrix<float, n_y_mocap, n_x> C;
@@ -68,11 +107,23 @@ void BlockLocalPositionEstimator::mocapCorrect()
// noise matrix
Matrix<float, n_y_mocap, n_y_mocap> R;
R.setZero();
float mocap_p_var = _mocap_p_stddev.get() * \
_mocap_p_stddev.get();
R(Y_mocap_x, Y_mocap_x) = mocap_p_var;
R(Y_mocap_y, Y_mocap_y) = mocap_p_var;
R(Y_mocap_z, Y_mocap_z) = mocap_p_var;
// use std dev from mocap data if available
if (_mocap_eph > _mocap_p_stddev.get()) {
R(Y_mocap_x, Y_mocap_x) = _mocap_eph * _mocap_eph;
R(Y_mocap_y, Y_mocap_y) = _mocap_eph * _mocap_eph;
} else {
R(Y_mocap_x, Y_mocap_x) = _mocap_p_stddev.get() * _mocap_p_stddev.get();
R(Y_mocap_y, Y_mocap_y) = _mocap_p_stddev.get() * _mocap_p_stddev.get();
}
if (_mocap_epv > _mocap_p_stddev.get()) {
R(Y_mocap_z, Y_mocap_z) = _mocap_epv * _mocap_epv;
} else {
R(Y_mocap_z, Y_mocap_z) = _mocap_p_stddev.get() * _mocap_p_stddev.get();
}
// residual
Vector<float, n_y_mocap> r = y - C * _x;
@@ -80,12 +131,12 @@ void BlockLocalPositionEstimator::mocapCorrect()
Matrix<float, n_y_mocap, n_y_mocap> S = C * _P * C.transpose() + R;
// publish innovations
for (int i = 0; i < 3; i++) {
for (size_t i = 0; i < 3; i++) {
_pub_innov.get().vel_pos_innov[i] = r(i);
_pub_innov.get().vel_pos_innov_var[i] = S(i, i);
}
for (int i = 3; i < 6; i++) {
for (size_t i = 3; i < 6; i++) {
_pub_innov.get().vel_pos_innov[i] = 0;
_pub_innov.get().vel_pos_innov_var[i] = 1;
}
@@ -66,9 +66,10 @@ int BlockLocalPositionEstimator::sonarMeasure(Vector<float, n_y_sonar> &y)
_sonarStats.update(Scalarf(d));
_time_last_sonar = _timeStamp;
y.setZero();
matrix::Eulerf euler(matrix::Quatf(_sub_att.get().q));
y(0) = (d + _sonar_z_offset.get()) *
cosf(_eul(0)) *
cosf(_eul(1));
cosf(euler.phi()) *
cosf(euler.theta());
return OK;
}
@@ -14,6 +14,10 @@ static const uint32_t REQ_VISION_INIT_COUNT = 1;
// set the timeout to 0.5 seconds
static const uint32_t VISION_TIMEOUT = 500000; // 0.5 s
// set pose/velocity as invalid if standard deviation is bigger than EP_MAX_STD_DEV
// TODO: the user should be allowed to set these values by a parameter
static constexpr float EP_MAX_STD_DEV = 100.0f;
void BlockLocalPositionEstimator::visionInit()
{
// measure
@@ -37,11 +41,16 @@ void BlockLocalPositionEstimator::visionInit()
_sensorTimeout &= ~SENSOR_VISION;
_sensorFault &= ~SENSOR_VISION;
if (!_map_ref.init_done && _sub_vision_pos.get().xy_global) {
// get reference for global position
globallocalconverter_getref(&_ref_lat, &_ref_lon, &_ref_alt);
_global_ref_timestamp = hrt_absolute_time();
_is_global_cov_init = globallocalconverter_initialized();
if (!_map_ref.init_done && _is_global_cov_init) {
// initialize global origin using the visual estimator reference
mavlink_and_console_log_info(&mavlink_log_pub, "[lpe] global origin init (vision) : lat %6.2f lon %6.2f alt %5.1f m",
double(_sub_vision_pos.get().ref_lat), double(_sub_vision_pos.get().ref_lon), double(_sub_vision_pos.get().ref_alt));
map_projection_init(&_map_ref, _sub_vision_pos.get().ref_lat, _sub_vision_pos.get().ref_lon);
double(_ref_lat), double(_ref_lon), double(_ref_alt));
map_projection_init(&_map_ref, _ref_lat, _ref_lon);
// set timestamp when origin was set to current time
_time_origin = _timeStamp;
}
@@ -49,20 +58,38 @@ void BlockLocalPositionEstimator::visionInit()
if (!_altOriginInitialized) {
_altOriginInitialized = true;
_altOriginGlobal = true;
_altOrigin = _sub_vision_pos.get().z_global ? _sub_vision_pos.get().ref_alt : 0.0f;
_altOrigin = globallocalconverter_initialized() ? _ref_alt : 0.0f;
}
}
}
int BlockLocalPositionEstimator::visionMeasure(Vector<float, n_y_vision> &y)
{
y.setZero();
y(Y_vision_x) = _sub_vision_pos.get().x;
y(Y_vision_y) = _sub_vision_pos.get().y;
y(Y_vision_z) = _sub_vision_pos.get().z;
_visionStats.update(y);
_time_last_vision_p = _sub_vision_pos.get().timestamp;
return OK;
if (!PX4_ISFINITE(_sub_visual_odom.get().pose_covariance[0])) {
// check if the vision data is valid based on the covariances
_vision_eph = sqrtf(fmaxf(_sub_visual_odom.get().pose_covariance[0], _sub_visual_odom.get().pose_covariance[6]));
_vision_epv = sqrtf(_sub_visual_odom.get().pose_covariance[11]);
_vision_xy_valid = _vision_eph <= EP_MAX_STD_DEV;
_vision_z_valid = _vision_epv <= EP_MAX_STD_DEV;
} else {
// if we don't have covariances, assume every reading
_vision_xy_valid = true;
_vision_z_valid = true;
}
if (!_vision_xy_valid || !_vision_z_valid) {
_time_last_vision_p = _sub_visual_odom.get().timestamp;
return !OK;
} else {
y.setZero();
y(Y_vision_x) = _sub_visual_odom.get().x;
y(Y_vision_y) = _sub_visual_odom.get().y;
y(Y_vision_z) = _sub_visual_odom.get().z;
_visionStats.update(y);
_time_last_vision_p = _sub_visual_odom.get().timestamp;
return OK;
}
}
void BlockLocalPositionEstimator::visionCorrect()
@@ -70,7 +97,10 @@ void BlockLocalPositionEstimator::visionCorrect()
// measure
Vector<float, n_y_vision> y;
if (visionMeasure(y) != OK) { return; }
if (visionMeasure(y) != OK) {
mavlink_and_console_log_info(&mavlink_log_pub, "[lpe] vision data invalid. eph: %f epv: %f", _vision_eph, _vision_epv);
return;
}
// vision measurement matrix, measures position
Matrix<float, n_y_vision, n_x> C;
@@ -83,18 +113,18 @@ void BlockLocalPositionEstimator::visionCorrect()
Matrix<float, n_y_vision, n_y_vision> R;
R.setZero();
// use error estimates from vision topic if available
if (_sub_vision_pos.get().eph > _vision_xy_stddev.get()) {
R(Y_vision_x, Y_vision_x) = _sub_vision_pos.get().eph * _sub_vision_pos.get().eph;
R(Y_vision_y, Y_vision_y) = _sub_vision_pos.get().eph * _sub_vision_pos.get().eph;
// use std dev from vision data if available
if (_vision_eph > _vision_xy_stddev.get()) {
R(Y_vision_x, Y_vision_x) = _vision_eph * _vision_eph;
R(Y_vision_y, Y_vision_y) = _vision_eph * _vision_eph;
} else {
R(Y_vision_x, Y_vision_x) = _vision_xy_stddev.get() * _vision_xy_stddev.get();
R(Y_vision_y, Y_vision_y) = _vision_xy_stddev.get() * _vision_xy_stddev.get();
}
if (_sub_vision_pos.get().epv > _vision_z_stddev.get()) {
R(Y_vision_z, Y_vision_z) = _sub_vision_pos.get().epv * _sub_vision_pos.get().epv;
if (_vision_epv > _vision_z_stddev.get()) {
R(Y_vision_z, Y_vision_z) = _vision_epv * _vision_epv;
} else {
R(Y_vision_z, Y_vision_z) = _vision_z_stddev.get() * _vision_z_stddev.get();
@@ -103,20 +133,33 @@ void BlockLocalPositionEstimator::visionCorrect()
// vision delayed x
uint8_t i_hist = 0;
float vision_delay = (_timeStamp - _sub_vision_pos.get().timestamp) * 1e-6f; // measurement delay in seconds
float vision_delay = (_timeStamp - _sub_visual_odom.get().timestamp) * 1e-6f; // measurement delay in seconds
if (vision_delay < 0.0f) { vision_delay = 0.0f; }
// use auto-calculated delay from measurement if parameter is set to zero
if (getDelayPeriods(_vision_delay.get() > 0.0f ? _vision_delay.get() : vision_delay, &i_hist) < 0) { return; }
//mavlink_and_console_log_info(&mavlink_log_pub, "[lpe] vision delay : %0.2f ms", double(vision_delay * 1000.0f));
if (getDelayPeriods(_vision_delay.get() > 0.0f ? _vision_delay.get() : vision_delay, &i_hist) < 0){ return; }
Vector<float, n_x> x0 = _xDelay.get(i_hist);
// residual
Matrix<float, n_y_vision, n_y_vision> S_I = inv<float, n_y_vision>((C * _P * C.transpose()) + R);
Matrix<float, n_y_vision, 1> r = y - C * x0;
// residual covariance
Matrix<float, n_y_vision, n_y_vision> S = C * _P * C.transpose() + R;
// publish innovations
for (size_t i = 0; i < 3; i++) {
_pub_innov.get().vel_pos_innov[i] = r(i, 0);
_pub_innov.get().vel_pos_innov_var[i] = S(i, i);
}
for (size_t i = 3; i < 6; i++) {
_pub_innov.get().vel_pos_innov[i] = 0;
_pub_innov.get().vel_pos_innov_var[i] = 1;
}
// residual covariance, (inverse)
Matrix<float, n_y_vision, n_y_vision> S_I = inv<float, n_y_vision>(S);
// fault detection
float beta = (r.transpose() * (S_I * r))(0, 0);