Updated lpe for separate sensor source files, also made more quiet.

This commit is contained in:
James Goppert
2016-04-14 14:32:22 -04:00
parent ba36183d7d
commit 0bfe3a4403
12 changed files with 1255 additions and 1118 deletions
@@ -0,0 +1,186 @@
#include "../BlockLocalPositionEstimator.hpp"
#include <systemlib/mavlink_log.h>
#include <matrix/math.hpp>
// mavlink pub
extern orb_advert_t mavlink_log_pub;
// required number of samples for sensor
// to initialize
static const uint32_t REQ_FLOW_INIT_COUNT = 10;
static const uint32_t FLOW_TIMEOUT = 1000000; // 1 s
// minimum flow altitude
static const float flow_min_agl = 0.3;
void BlockLocalPositionEstimator::flowInit()
{
// measure
Vector<float, n_y_flow> y;
if (flowMeasure(y) != OK) {
_flowQStats.reset();
return;
}
// if finished
if (_flowQStats.getCount() > REQ_FLOW_INIT_COUNT) {
mavlink_and_console_log_info(&mavlink_log_pub, "[lpe] flow init: "
"quality %d std %d",
int(_flowQStats.getMean()(0)),
int(_flowQStats.getStdDev()(0)));
_flowInitialized = true;
_flowFault = FAULT_NONE;
}
}
int BlockLocalPositionEstimator::flowMeasure(Vector<float, n_y_flow> &y)
{
// check for agl
if (agl() < flow_min_agl) {
return -1;
}
// check quality
float qual = _sub_flow.get().quality;
if (qual < _flow_min_q.get()) {
return -1;
}
// calculate range to center of image for flow
float d = 0;
if (_lidarInitialized && (_lidarFault < fault_lvl_disable)) {
d = _sub_lidar->get().current_distance
+ (_lidar_z_offset.get() - _flow_z_offset.get());
} else if (_sonarInitialized && (_sonarFault < fault_lvl_disable)) {
d = _sub_sonar->get().current_distance
+ (_sonar_z_offset.get() - _flow_z_offset.get());
} else {
// no valid distance data
return -1;
}
// check for global accuracy
if (_gpsInitialized) {
double lat = _sub_gps.get().lat * 1.0e-7;
double lon = _sub_gps.get().lon * 1.0e-7;
float px = 0;
float py = 0;
map_projection_project(&_map_ref, lat, lon, &px, &py);
Vector2f delta(px - _flowX, py - _flowY);
if (delta.norm() > 3) {
mavlink_and_console_log_info(&mavlink_log_pub,
"[lpe] flow too far from GPS, disabled");
_flowInitialized = false;
return -1;
}
}
// optical flow in x, y axis
float flow_x_rad = _sub_flow.get().pixel_flow_x_integral;
float flow_y_rad = _sub_flow.get().pixel_flow_y_integral;
// angular rotation in x, y axis
float gyro_x_rad = _flow_gyro_x_high_pass.update(
_sub_flow.get().gyro_x_rate_integral);
float gyro_y_rad = _flow_gyro_y_high_pass.update(
_sub_flow.get().gyro_y_rate_integral);
// compute velocities in camera frame using ground distance
// assume camera frame is body frame
Vector3f delta_b(
-(flow_x_rad - gyro_x_rad)*d,
-(flow_y_rad - gyro_y_rad)*d,
0);
// rotation of flow from body to nav frame
Matrix3f R_nb(_sub_att.get().R);
Vector3f delta_n = R_nb * delta_b;
// flow integration
_flowX += delta_n(0);
_flowY += delta_n(1);
// measurement
y(Y_flow_x) = _flowX;
y(Y_flow_y) = _flowY;
_flowQStats.update(Scalarf(_sub_flow.get().quality));
// imporant to timestamp flow even if distance is bad
_time_last_flow = _timeStamp;
return OK;
}
void BlockLocalPositionEstimator::flowCorrect()
{
// measure flow
Vector<float, n_y_flow> y;
if (flowMeasure(y) != OK) { return; }
// flow measurement matrix and noise matrix
Matrix<float, n_y_flow, n_x> C;
C.setZero();
C(Y_flow_x, X_x) = 1;
C(Y_flow_y, X_y) = 1;
Matrix<float, n_y_flow, n_y_flow> R;
R.setZero();
R(Y_flow_x, Y_flow_x) =
_flow_xy_stddev.get() * _flow_xy_stddev.get();
R(Y_flow_y, Y_flow_y) =
_flow_xy_stddev.get() * _flow_xy_stddev.get();
// residual
Vector<float, 2> r = y - C * _x;
// residual covariance, (inverse)
Matrix<float, n_y_flow, n_y_flow> S_I =
inv<float, n_y_flow>(C * _P * C.transpose() + R);
// fault detection
float beta = (r.transpose() * (S_I * r))(0, 0);
if (beta > BETA_TABLE[n_y_flow]) {
if (_flowFault < FAULT_MINOR) {
//mavlink_and_console_log_info(&mavlink_log_pub, "[lpe] flow fault, beta %5.2f", double(beta));
_flowFault = FAULT_MINOR;
}
} else if (_flowFault) {
_flowFault = FAULT_NONE;
//mavlink_and_console_log_info(&mavlink_log_pub, "[lpe] flow OK");
}
if (_flowFault < fault_lvl_disable) {
Matrix<float, n_x, n_y_flow> K =
_P * C.transpose() * S_I;
_x += K * r;
_P -= K * C * _P;
} else {
// reset flow integral to current estimate of position
// if a fault occurred
_flowX = _x(X_x);
_flowY = _x(X_y);
}
}
void BlockLocalPositionEstimator::flowCheckTimeout()
{
if (_timeStamp - _time_last_flow > FLOW_TIMEOUT) {
if (_flowInitialized) {
_flowInitialized = false;
_flowQStats.reset();
mavlink_and_console_log_info(&mavlink_log_pub, "[lpe] flow timeout ");
}
}
}