/****************************************************************************
* main
****************************************************************************/
int position_estimator_inav_thread_main(int argc, char *argv[])
{
int mavlink_fd;
mavlink_fd = px4_open(MAVLINK_LOG_DEVICE, 0);
float x_est[2] = { 0.0f, 0.0f }; // pos, vel
float y_est[2] = { 0.0f, 0.0f }; // pos, vel
float z_est[2] = { 0.0f, 0.0f }; // pos, vel
float est_buf[EST_BUF_SIZE][3][2]; // estimated position buffer
float R_buf[EST_BUF_SIZE][3][3]; // rotation matrix buffer
float R_gps[3][3]; // rotation matrix for GPS correction moment
memset(est_buf, 0, sizeof(est_buf));
memset(R_buf, 0, sizeof(R_buf));
memset(R_gps, 0, sizeof(R_gps));
int buf_ptr = 0;
static const float min_eph_epv = 2.0f; // min EPH/EPV, used for weight calculation
static const float max_eph_epv = 20.0f; // max EPH/EPV acceptable for estimation
float eph = max_eph_epv;
float epv = 1.0f;
float eph_flow = 1.0f;
float eph_vision = 0.2f;
float epv_vision = 0.2f;
float eph_mocap = 0.05f;
float epv_mocap = 0.05f;
float x_est_prev[2], y_est_prev[2], z_est_prev[2];
memset(x_est_prev, 0, sizeof(x_est_prev));
memset(y_est_prev, 0, sizeof(y_est_prev));
memset(z_est_prev, 0, sizeof(z_est_prev));
int baro_init_cnt = 0;
int baro_init_num = 200;
float baro_offset = 0.0f; // baro offset for reference altitude, initialized on start, then adjusted
float surface_offset = 0.0f; // ground level offset from reference altitude
float surface_offset_rate = 0.0f; // surface offset change rate
hrt_abstime accel_timestamp = 0;
hrt_abstime baro_timestamp = 0;
bool ref_inited = false;
hrt_abstime ref_init_start = 0;
const hrt_abstime ref_init_delay = 1000000; // wait for 1s after 3D fix
struct map_projection_reference_s ref;
memset(&ref, 0, sizeof(ref));
hrt_abstime home_timestamp = 0;
uint16_t accel_updates = 0;
uint16_t baro_updates = 0;
uint16_t gps_updates = 0;
uint16_t attitude_updates = 0;
uint16_t flow_updates = 0;
uint16_t vision_updates = 0;
uint16_t mocap_updates = 0;
hrt_abstime updates_counter_start = hrt_absolute_time();
hrt_abstime pub_last = hrt_absolute_time();
hrt_abstime t_prev = 0;
/* store error when sensor updates, but correct on each time step to avoid jumps in estimated value */
float acc[] = { 0.0f, 0.0f, 0.0f }; // N E D
float acc_bias[] = { 0.0f, 0.0f, 0.0f }; // body frame
float corr_baro = 0.0f; // D
float corr_gps[3][2] = {
{ 0.0f, 0.0f }, // N (pos, vel)
{ 0.0f, 0.0f }, // E (pos, vel)
{ 0.0f, 0.0f }, // D (pos, vel)
};
float w_gps_xy = 1.0f;
float w_gps_z = 1.0f;
float corr_vision[3][2] = {
{ 0.0f, 0.0f }, // N (pos, vel)
{ 0.0f, 0.0f }, // E (pos, vel)
{ 0.0f, 0.0f }, // D (pos, vel)
};
float corr_mocap[3][1] = {
{ 0.0f }, // N (pos)
{ 0.0f }, // E (pos)
{ 0.0f }, // D (pos)
};
float corr_sonar = 0.0f;
float corr_sonar_filtered = 0.0f;
float corr_flow[] = { 0.0f, 0.0f }; // N E
float w_flow = 0.0f;
float sonar_prev = 0.0f;
//hrt_abstime flow_prev = 0; // time of last flow measurement
hrt_abstime sonar_time = 0; // time of last sonar measurement (not filtered)
hrt_abstime sonar_valid_time = 0; // time of last sonar measurement used for correction (filtered)
bool gps_valid = false; // GPS is valid
bool sonar_valid = false; // sonar is valid
bool flow_valid = false; // flow is valid
bool flow_accurate = false; // flow should be accurate (this flag not updated if flow_valid == false)
bool vision_valid = false; // vision is valid
bool mocap_valid = false; // mocap is valid
/* declare and safely initialize all structs */
struct actuator_controls_s actuator;
memset(&actuator, 0, sizeof(actuator));
struct actuator_armed_s armed;
memset(&armed, 0, sizeof(armed));
struct sensor_combined_s sensor;
memset(&sensor, 0, sizeof(sensor));
struct vehicle_gps_position_s gps;
memset(&gps, 0, sizeof(gps));
struct home_position_s home;
memset(&home, 0, sizeof(home));
struct vehicle_attitude_s att;
memset(&att, 0, sizeof(att));
struct vehicle_local_position_s local_pos;
memset(&local_pos, 0, sizeof(local_pos));
struct optical_flow_s flow;
memset(&flow, 0, sizeof(flow));
struct vision_position_estimate_s vision;
memset(&vision, 0, sizeof(vision));
struct att_pos_mocap_s mocap;
memset(&mocap, 0, sizeof(mocap));
struct vehicle_global_position_s global_pos;
memset(&global_pos, 0, sizeof(global_pos));
/* subscribe */
int parameter_update_sub = orb_subscribe(ORB_ID(parameter_update));
int actuator_sub = orb_subscribe(ORB_ID_VEHICLE_ATTITUDE_CONTROLS);
int armed_sub = orb_subscribe(ORB_ID(actuator_armed));
int sensor_combined_sub = orb_subscribe(ORB_ID(sensor_combined));
int vehicle_attitude_sub = orb_subscribe(ORB_ID(vehicle_attitude));
int optical_flow_sub = orb_subscribe(ORB_ID(optical_flow));
int vehicle_gps_position_sub = orb_subscribe(ORB_ID(vehicle_gps_position));
int vision_position_estimate_sub = orb_subscribe(ORB_ID(vision_position_estimate));
int att_pos_mocap_sub = orb_subscribe(ORB_ID(att_pos_mocap));
int home_position_sub = orb_subscribe(ORB_ID(home_position));
/* advertise */
orb_advert_t vehicle_local_position_pub = orb_advertise(ORB_ID(vehicle_local_position), &local_pos);
orb_advert_t vehicle_global_position_pub = NULL;
struct position_estimator_inav_params params;
struct position_estimator_inav_param_handles pos_inav_param_handles;
/* initialize parameter handles */
inav_parameters_init(&pos_inav_param_handles);
/* first parameters read at start up */
struct parameter_update_s param_update;
orb_copy(ORB_ID(parameter_update), parameter_update_sub, ¶m_update); /* read from param topic to clear updated flag */
/* first parameters update */
inav_parameters_update(&pos_inav_param_handles, ¶ms);
px4_pollfd_struct_t fds_init[1] = {
{ .fd = sensor_combined_sub, .events = POLLIN },
};
/* wait for initial baro value */
bool wait_baro = true;
thread_running = true;
while (wait_baro && !thread_should_exit) {
int ret = px4_poll(fds_init, 1, 1000);
if (ret < 0) {
/* poll error */
mavlink_log_info(mavlink_fd, "[inav] poll error on init");
} else if (ret > 0) {
if (fds_init[0].revents & POLLIN) {
orb_copy(ORB_ID(sensor_combined), sensor_combined_sub, &sensor);
if (wait_baro && sensor.baro_timestamp != baro_timestamp) {
baro_timestamp = sensor.baro_timestamp;
/* mean calculation over several measurements */
if (baro_init_cnt < baro_init_num) {
if (PX4_ISFINITE(sensor.baro_alt_meter)) {
baro_offset += sensor.baro_alt_meter;
baro_init_cnt++;
}
} else {
wait_baro = false;
baro_offset /= (float) baro_init_cnt;
warnx("baro offset: %d m", (int)baro_offset);
mavlink_log_info(mavlink_fd, "[inav] baro offset: %d m", (int)baro_offset);
local_pos.z_valid = true;
local_pos.v_z_valid = true;
}
}
}
}
}
/* main loop */
px4_pollfd_struct_t fds[1] = {
{ .fd = vehicle_attitude_sub, .events = POLLIN },
};
while (!thread_should_exit) {
int ret = px4_poll(fds, 1, 20); // wait maximal 20 ms = 50 Hz minimum rate
hrt_abstime t = hrt_absolute_time();
if (ret < 0) {
/* poll error */
mavlink_log_info(mavlink_fd, "[inav] poll error on init");
continue;
} else if (ret > 0) {
/* act on attitude updates */
/* vehicle attitude */
orb_copy(ORB_ID(vehicle_attitude), vehicle_attitude_sub, &att);
attitude_updates++;
bool updated;
/* parameter update */
orb_check(parameter_update_sub, &updated);
if (updated) {
struct parameter_update_s update;
orb_copy(ORB_ID(parameter_update), parameter_update_sub, &update);
inav_parameters_update(&pos_inav_param_handles, ¶ms);
}
/* actuator */
orb_check(actuator_sub, &updated);
if (updated) {
orb_copy(ORB_ID_VEHICLE_ATTITUDE_CONTROLS, actuator_sub, &actuator);
}
/* armed */
orb_check(armed_sub, &updated);
if (updated) {
orb_copy(ORB_ID(actuator_armed), armed_sub, &armed);
}
/* sensor combined */
orb_check(sensor_combined_sub, &updated);
if (updated) {
orb_copy(ORB_ID(sensor_combined), sensor_combined_sub, &sensor);
if (sensor.accelerometer_timestamp != accel_timestamp) {
if (att.R_valid) {
/* correct accel bias */
sensor.accelerometer_m_s2[0] -= acc_bias[0];
sensor.accelerometer_m_s2[1] -= acc_bias[1];
sensor.accelerometer_m_s2[2] -= acc_bias[2];
/* transform acceleration vector from body frame to NED frame */
for (int i = 0; i < 3; i++) {
acc[i] = 0.0f;
for (int j = 0; j < 3; j++) {
acc[i] += PX4_R(att.R, i, j) * sensor.accelerometer_m_s2[j];
}
}
acc[2] += CONSTANTS_ONE_G;
} else {
memset(acc, 0, sizeof(acc));
}
accel_timestamp = sensor.accelerometer_timestamp;
accel_updates++;
}
if (sensor.baro_timestamp != baro_timestamp) {
corr_baro = baro_offset - sensor.baro_alt_meter - z_est[0];
baro_timestamp = sensor.baro_timestamp;
baro_updates++;
}
}
/* optical flow */
orb_check(optical_flow_sub, &updated);
if (updated) {
orb_copy(ORB_ID(optical_flow), optical_flow_sub, &flow);
/* calculate time from previous update */
// float flow_dt = flow_prev > 0 ? (flow.flow_timestamp - flow_prev) * 1e-6f : 0.1f;
// flow_prev = flow.flow_timestamp;
if ((flow.ground_distance_m > 0.31f) &&
(flow.ground_distance_m < 4.0f) &&
(PX4_R(att.R, 2, 2) > 0.7f) &&
(fabsf(flow.ground_distance_m - sonar_prev) > FLT_EPSILON)) {
sonar_time = t;
sonar_prev = flow.ground_distance_m;
corr_sonar = flow.ground_distance_m + surface_offset + z_est[0];
corr_sonar_filtered += (corr_sonar - corr_sonar_filtered) * params.sonar_filt;
if (fabsf(corr_sonar) > params.sonar_err) {
/* correction is too large: spike or new ground level? */
if (fabsf(corr_sonar - corr_sonar_filtered) > params.sonar_err) {
/* spike detected, ignore */
corr_sonar = 0.0f;
sonar_valid = false;
} else {
/* new ground level */
surface_offset -= corr_sonar;
surface_offset_rate = 0.0f;
corr_sonar = 0.0f;
corr_sonar_filtered = 0.0f;
sonar_valid_time = t;
sonar_valid = true;
local_pos.surface_bottom_timestamp = t;
mavlink_log_info(mavlink_fd, "[inav] new surface level: %d", (int)surface_offset);
}
} else {
/* correction is ok, use it */
sonar_valid_time = t;
sonar_valid = true;
}
}
float flow_q = flow.quality / 255.0f;
float dist_bottom = - z_est[0] - surface_offset;
if (dist_bottom > 0.3f && flow_q > params.flow_q_min && (t < sonar_valid_time + sonar_valid_timeout) && PX4_R(att.R, 2, 2) > 0.7f) {
/* distance to surface */
float flow_dist = dist_bottom / PX4_R(att.R, 2, 2);
/* check if flow if too large for accurate measurements */
/* calculate estimated velocity in body frame */
float body_v_est[2] = { 0.0f, 0.0f };
for (int i = 0; i < 2; i++) {
body_v_est[i] = PX4_R(att.R, 0, i) * x_est[1] + PX4_R(att.R, 1, i) * y_est[1] + PX4_R(att.R, 2, i) * z_est[1];
}
/* set this flag if flow should be accurate according to current velocity and attitude rate estimate */
flow_accurate = fabsf(body_v_est[1] / flow_dist - att.rollspeed) < max_flow &&
fabsf(body_v_est[0] / flow_dist + att.pitchspeed) < max_flow;
/* convert raw flow to angular flow (rad/s) */
float flow_ang[2];
//todo check direction of x und y axis
flow_ang[0] = flow.pixel_flow_x_integral/(float)flow.integration_timespan*1000000.0f;//flow.flow_raw_x * params.flow_k / 1000.0f / flow_dt;
flow_ang[1] = flow.pixel_flow_y_integral/(float)flow.integration_timespan*1000000.0f;//flow.flow_raw_y * params.flow_k / 1000.0f / flow_dt;
/* flow measurements vector */
float flow_m[3];
flow_m[0] = -flow_ang[0] * flow_dist;
flow_m[1] = -flow_ang[1] * flow_dist;
flow_m[2] = z_est[1];
/* velocity in NED */
float flow_v[2] = { 0.0f, 0.0f };
/* project measurements vector to NED basis, skip Z component */
for (int i = 0; i < 2; i++) {
for (int j = 0; j < 3; j++) {
flow_v[i] += PX4_R(att.R, i, j) * flow_m[j];
}
}
/* velocity correction */
corr_flow[0] = flow_v[0] - x_est[1];
corr_flow[1] = flow_v[1] - y_est[1];
/* adjust correction weight */
float flow_q_weight = (flow_q - params.flow_q_min) / (1.0f - params.flow_q_min);
w_flow = PX4_R(att.R, 2, 2) * flow_q_weight / fmaxf(1.0f, flow_dist);
/* if flow is not accurate, reduce weight for it */
// TODO make this more fuzzy
if (!flow_accurate) {
w_flow *= 0.05f;
}
/* under ideal conditions, on 1m distance assume EPH = 10cm */
eph_flow = 0.1f / w_flow;
flow_valid = true;
} else {
w_flow = 0.0f;
flow_valid = false;
}
flow_updates++;
}
/* home position */
orb_check(home_position_sub, &updated);
if (updated) {
orb_copy(ORB_ID(home_position), home_position_sub, &home);
if (home.timestamp != home_timestamp) {
home_timestamp = home.timestamp;
double est_lat, est_lon;
float est_alt;
if (ref_inited) {
/* calculate current estimated position in global frame */
est_alt = local_pos.ref_alt - local_pos.z;
map_projection_reproject(&ref, local_pos.x, local_pos.y, &est_lat, &est_lon);
}
/* update reference */
map_projection_init(&ref, home.lat, home.lon);
/* update baro offset */
baro_offset += home.alt - local_pos.ref_alt;
local_pos.ref_lat = home.lat;
local_pos.ref_lon = home.lon;
local_pos.ref_alt = home.alt;
local_pos.ref_timestamp = home.timestamp;
if (ref_inited) {
/* reproject position estimate with new reference */
map_projection_project(&ref, est_lat, est_lon, &x_est[0], &y_est[0]);
z_est[0] = -(est_alt - local_pos.ref_alt);
}
ref_inited = true;
}
}
/* check no vision circuit breaker is set */
if (params.no_vision != CBRK_NO_VISION_KEY) {
/* vehicle vision position */
orb_check(vision_position_estimate_sub, &updated);
if (updated) {
orb_copy(ORB_ID(vision_position_estimate), vision_position_estimate_sub, &vision);
static float last_vision_x = 0.0f;
static float last_vision_y = 0.0f;
static float last_vision_z = 0.0f;
/* reset position estimate on first vision update */
if (!vision_valid) {
x_est[0] = vision.x;
x_est[1] = vision.vx;
y_est[0] = vision.y;
y_est[1] = vision.vy;
/* only reset the z estimate if the z weight parameter is not zero */
if (params.w_z_vision_p > MIN_VALID_W)
{
z_est[0] = vision.z;
z_est[1] = vision.vz;
}
vision_valid = true;
last_vision_x = vision.x;
last_vision_y = vision.y;
last_vision_z = vision.z;
warnx("VISION estimate valid");
mavlink_log_info(mavlink_fd, "[inav] VISION estimate valid");
}
/* calculate correction for position */
corr_vision[0][0] = vision.x - x_est[0];
corr_vision[1][0] = vision.y - y_est[0];
corr_vision[2][0] = vision.z - z_est[0];
static hrt_abstime last_vision_time = 0;
float vision_dt = (vision.timestamp_boot - last_vision_time) / 1e6f;
last_vision_time = vision.timestamp_boot;
if (vision_dt > 0.000001f && vision_dt < 0.2f) {
vision.vx = (vision.x - last_vision_x) / vision_dt;
vision.vy = (vision.y - last_vision_y) / vision_dt;
vision.vz = (vision.z - last_vision_z) / vision_dt;
last_vision_x = vision.x;
last_vision_y = vision.y;
last_vision_z = vision.z;
/* calculate correction for velocity */
corr_vision[0][1] = vision.vx - x_est[1];
corr_vision[1][1] = vision.vy - y_est[1];
corr_vision[2][1] = vision.vz - z_est[1];
} else {
/* assume zero motion */
corr_vision[0][1] = 0.0f - x_est[1];
corr_vision[1][1] = 0.0f - y_est[1];
corr_vision[2][1] = 0.0f - z_est[1];
}
vision_updates++;
}
}
/* vehicle mocap position */
orb_check(att_pos_mocap_sub, &updated);
if (updated) {
orb_copy(ORB_ID(att_pos_mocap), att_pos_mocap_sub, &mocap);
/* reset position estimate on first mocap update */
if (!mocap_valid) {
x_est[0] = mocap.x;
y_est[0] = mocap.y;
z_est[0] = mocap.z;
mocap_valid = true;
warnx("MOCAP data valid");
mavlink_log_info(mavlink_fd, "[inav] MOCAP data valid");
}
/* calculate correction for position */
corr_mocap[0][0] = mocap.x - x_est[0];
corr_mocap[1][0] = mocap.y - y_est[0];
corr_mocap[2][0] = mocap.z - z_est[0];
mocap_updates++;
}
/* vehicle GPS position */
orb_check(vehicle_gps_position_sub, &updated);
if (updated) {
orb_copy(ORB_ID(vehicle_gps_position), vehicle_gps_position_sub, &gps);
bool reset_est = false;
/* hysteresis for GPS quality */
if (gps_valid) {
if (gps.eph > max_eph_epv || gps.epv > max_eph_epv || gps.fix_type < 3) {
gps_valid = false;
mavlink_log_info(mavlink_fd, "[inav] GPS signal lost");
}
} else {
if (gps.eph < max_eph_epv * 0.7f && gps.epv < max_eph_epv * 0.7f && gps.fix_type >= 3) {
gps_valid = true;
reset_est = true;
mavlink_log_info(mavlink_fd, "[inav] GPS signal found");
}
}
if (gps_valid) {
double lat = gps.lat * 1e-7;
double lon = gps.lon * 1e-7;
float alt = gps.alt * 1e-3;
/* initialize reference position if needed */
if (!ref_inited) {
if (ref_init_start == 0) {
ref_init_start = t;
} else if (t > ref_init_start + ref_init_delay) {
ref_inited = true;
/* set position estimate to (0, 0, 0), use GPS velocity for XY */
x_est[0] = 0.0f;
x_est[1] = gps.vel_n_m_s;
y_est[0] = 0.0f;
y_est[1] = gps.vel_e_m_s;
local_pos.ref_lat = lat;
local_pos.ref_lon = lon;
local_pos.ref_alt = alt + z_est[0];
local_pos.ref_timestamp = t;
/* initialize projection */
map_projection_init(&ref, lat, lon);
// XXX replace this print
warnx("init ref: lat=%.7f, lon=%.7f, alt=%8.4f", (double)lat, (double)lon, (double)alt);
mavlink_log_info(mavlink_fd, "[inav] init ref: %.7f, %.7f, %8.4f", (double)lat, (double)lon, (double)alt);
}
}
if (ref_inited) {
/* project GPS lat lon to plane */
float gps_proj[2];
map_projection_project(&ref, lat, lon, &(gps_proj[0]), &(gps_proj[1]));
/* reset position estimate when GPS becomes good */
if (reset_est) {
x_est[0] = gps_proj[0];
x_est[1] = gps.vel_n_m_s;
y_est[0] = gps_proj[1];
y_est[1] = gps.vel_e_m_s;
}
/* calculate index of estimated values in buffer */
int est_i = buf_ptr - 1 - min(EST_BUF_SIZE - 1, max(0, (int)(params.delay_gps * 1000000.0f / PUB_INTERVAL)));
if (est_i < 0) {
est_i += EST_BUF_SIZE;
}
/* calculate correction for position */
corr_gps[0][0] = gps_proj[0] - est_buf[est_i][0][0];
corr_gps[1][0] = gps_proj[1] - est_buf[est_i][1][0];
corr_gps[2][0] = local_pos.ref_alt - alt - est_buf[est_i][2][0];
/* calculate correction for velocity */
if (gps.vel_ned_valid) {
corr_gps[0][1] = gps.vel_n_m_s - est_buf[est_i][0][1];
corr_gps[1][1] = gps.vel_e_m_s - est_buf[est_i][1][1];
corr_gps[2][1] = gps.vel_d_m_s - est_buf[est_i][2][1];
} else {
corr_gps[0][1] = 0.0f;
corr_gps[1][1] = 0.0f;
corr_gps[2][1] = 0.0f;
}
/* save rotation matrix at this moment */
memcpy(R_gps, R_buf[est_i], sizeof(R_gps));
w_gps_xy = min_eph_epv / fmaxf(min_eph_epv, gps.eph);
w_gps_z = min_eph_epv / fmaxf(min_eph_epv, gps.epv);
}
} else {
/* no GPS lock */
memset(corr_gps, 0, sizeof(corr_gps));
ref_init_start = 0;
}
gps_updates++;
}
}
/* check for timeout on FLOW topic */
if ((flow_valid || sonar_valid) && t > flow.timestamp + flow_topic_timeout) {
flow_valid = false;
sonar_valid = false;
warnx("FLOW timeout");
mavlink_log_info(mavlink_fd, "[inav] FLOW timeout");
}
/* check for timeout on GPS topic */
if (gps_valid && (t > (gps.timestamp_position + gps_topic_timeout))) {
gps_valid = false;
warnx("GPS timeout");
mavlink_log_info(mavlink_fd, "[inav] GPS timeout");
}
/* check for timeout on vision topic */
if (vision_valid && (t > (vision.timestamp_boot + vision_topic_timeout))) {
vision_valid = false;
warnx("VISION timeout");
mavlink_log_info(mavlink_fd, "[inav] VISION timeout");
}
/* check for timeout on mocap topic */
if (mocap_valid && (t > (mocap.timestamp_boot + mocap_topic_timeout))) {
mocap_valid = false;
warnx("MOCAP timeout");
mavlink_log_info(mavlink_fd, "[inav] MOCAP timeout");
}
/* check for sonar measurement timeout */
if (sonar_valid && (t > (sonar_time + sonar_timeout))) {
corr_sonar = 0.0f;
sonar_valid = false;
}
float dt = t_prev > 0 ? (t - t_prev) / 1000000.0f : 0.0f;
dt = fmaxf(fminf(0.02, dt), 0.002); // constrain dt from 2 to 20 ms
t_prev = t;
/* increase EPH/EPV on each step */
if (eph < max_eph_epv) {
eph *= 1.0f + dt;
}
if (epv < max_eph_epv) {
epv += 0.005f * dt; // add 1m to EPV each 200s (baro drift)
}
/* use GPS if it's valid and reference position initialized */
bool use_gps_xy = ref_inited && gps_valid && params.w_xy_gps_p > MIN_VALID_W;
bool use_gps_z = ref_inited && gps_valid && params.w_z_gps_p > MIN_VALID_W;
/* use VISION if it's valid and has a valid weight parameter */
bool use_vision_xy = vision_valid && params.w_xy_vision_p > MIN_VALID_W;
bool use_vision_z = vision_valid && params.w_z_vision_p > MIN_VALID_W;
/* use MOCAP if it's valid and has a valid weight parameter */
bool use_mocap = mocap_valid && params.w_mocap_p > MIN_VALID_W;
/* use flow if it's valid and (accurate or no GPS available) */
bool use_flow = flow_valid && (flow_accurate || !use_gps_xy);
bool can_estimate_xy = (eph < max_eph_epv) || use_gps_xy || use_flow || use_vision_xy || use_mocap;
bool dist_bottom_valid = (t < sonar_valid_time + sonar_valid_timeout);
if (dist_bottom_valid) {
/* surface distance prediction */
surface_offset += surface_offset_rate * dt;
/* surface distance correction */
if (sonar_valid) {
surface_offset_rate -= corr_sonar * 0.5f * params.w_z_sonar * params.w_z_sonar * dt;
surface_offset -= corr_sonar * params.w_z_sonar * dt;
}
}
float w_xy_gps_p = params.w_xy_gps_p * w_gps_xy;
float w_xy_gps_v = params.w_xy_gps_v * w_gps_xy;
float w_z_gps_p = params.w_z_gps_p * w_gps_z;
float w_z_gps_v = params.w_z_gps_v * w_gps_z;
float w_xy_vision_p = params.w_xy_vision_p;
float w_xy_vision_v = params.w_xy_vision_v;
float w_z_vision_p = params.w_z_vision_p;
float w_mocap_p = params.w_mocap_p;
/* reduce GPS weight if optical flow is good */
if (use_flow && flow_accurate) {
w_xy_gps_p *= params.w_gps_flow;
w_xy_gps_v *= params.w_gps_flow;
}
/* baro offset correction */
if (use_gps_z) {
float offs_corr = corr_gps[2][0] * w_z_gps_p * dt;
baro_offset += offs_corr;
corr_baro += offs_corr;
}
/* accelerometer bias correction for GPS (use buffered rotation matrix) */
float accel_bias_corr[3] = { 0.0f, 0.0f, 0.0f };
if (use_gps_xy) {
accel_bias_corr[0] -= corr_gps[0][0] * w_xy_gps_p * w_xy_gps_p;
accel_bias_corr[0] -= corr_gps[0][1] * w_xy_gps_v;
accel_bias_corr[1] -= corr_gps[1][0] * w_xy_gps_p * w_xy_gps_p;
accel_bias_corr[1] -= corr_gps[1][1] * w_xy_gps_v;
}
if (use_gps_z) {
accel_bias_corr[2] -= corr_gps[2][0] * w_z_gps_p * w_z_gps_p;
accel_bias_corr[2] -= corr_gps[2][1] * w_z_gps_v;
}
/* transform error vector from NED frame to body frame */
for (int i = 0; i < 3; i++) {
float c = 0.0f;
for (int j = 0; j < 3; j++) {
c += R_gps[j][i] * accel_bias_corr[j];
}
if (isfinite(c)) {
acc_bias[i] += c * params.w_acc_bias * dt;
}
}
/* accelerometer bias correction for VISION (use buffered rotation matrix) */
accel_bias_corr[0] = 0.0f;
accel_bias_corr[1] = 0.0f;
accel_bias_corr[2] = 0.0f;
if (use_vision_xy) {
accel_bias_corr[0] -= corr_vision[0][0] * w_xy_vision_p * w_xy_vision_p;
accel_bias_corr[0] -= corr_vision[0][1] * w_xy_vision_v;
accel_bias_corr[1] -= corr_vision[1][0] * w_xy_vision_p * w_xy_vision_p;
accel_bias_corr[1] -= corr_vision[1][1] * w_xy_vision_v;
}
if (use_vision_z) {
accel_bias_corr[2] -= corr_vision[2][0] * w_z_vision_p * w_z_vision_p;
}
/* accelerometer bias correction for MOCAP (use buffered rotation matrix) */
accel_bias_corr[0] = 0.0f;
accel_bias_corr[1] = 0.0f;
accel_bias_corr[2] = 0.0f;
if (use_mocap) {
accel_bias_corr[0] -= corr_mocap[0][0] * w_mocap_p * w_mocap_p;
accel_bias_corr[1] -= corr_mocap[1][0] * w_mocap_p * w_mocap_p;
accel_bias_corr[2] -= corr_mocap[2][0] * w_mocap_p * w_mocap_p;
}
/* transform error vector from NED frame to body frame */
for (int i = 0; i < 3; i++) {
float c = 0.0f;
for (int j = 0; j < 3; j++) {
c += PX4_R(att.R, j, i) * accel_bias_corr[j];
}
if (isfinite(c)) {
acc_bias[i] += c * params.w_acc_bias * dt;
}
}
/* accelerometer bias correction for flow and baro (assume that there is no delay) */
accel_bias_corr[0] = 0.0f;
accel_bias_corr[1] = 0.0f;
accel_bias_corr[2] = 0.0f;
if (use_flow) {
accel_bias_corr[0] -= corr_flow[0] * params.w_xy_flow;
accel_bias_corr[1] -= corr_flow[1] * params.w_xy_flow;
}
accel_bias_corr[2] -= corr_baro * params.w_z_baro * params.w_z_baro;
/* transform error vector from NED frame to body frame */
for (int i = 0; i < 3; i++) {
float c = 0.0f;
for (int j = 0; j < 3; j++) {
c += PX4_R(att.R, j, i) * accel_bias_corr[j];
}
if (isfinite(c)) {
acc_bias[i] += c * params.w_acc_bias * dt;
}
}
/* inertial filter prediction for altitude */
inertial_filter_predict(dt, z_est, acc[2]);
if (!(isfinite(z_est[0]) && isfinite(z_est[1]))) {
write_debug_log("BAD ESTIMATE AFTER Z PREDICTION", dt, x_est, y_est, z_est, x_est_prev, y_est_prev, z_est_prev,
acc, corr_gps, w_xy_gps_p, w_xy_gps_v, corr_mocap, w_mocap_p,
corr_vision, w_xy_vision_p, w_z_vision_p, w_xy_vision_v);
memcpy(z_est, z_est_prev, sizeof(z_est));
}
/* inertial filter correction for altitude */
inertial_filter_correct(corr_baro, dt, z_est, 0, params.w_z_baro);
if (use_gps_z) {
epv = fminf(epv, gps.epv);
inertial_filter_correct(corr_gps[2][0], dt, z_est, 0, w_z_gps_p);
inertial_filter_correct(corr_gps[2][1], dt, z_est, 1, w_z_gps_v);
}
if (use_vision_z) {
epv = fminf(epv, epv_vision);
inertial_filter_correct(corr_vision[2][0], dt, z_est, 0, w_z_vision_p);
}
if (use_mocap) {
epv = fminf(epv, epv_mocap);
inertial_filter_correct(corr_mocap[2][0], dt, z_est, 0, w_mocap_p);
}
if (!(isfinite(z_est[0]) && isfinite(z_est[1]))) {
write_debug_log("BAD ESTIMATE AFTER Z CORRECTION", dt, x_est, y_est, z_est, x_est_prev, y_est_prev, z_est_prev,
acc, corr_gps, w_xy_gps_p, w_xy_gps_v, corr_mocap, w_mocap_p,
corr_vision, w_xy_vision_p, w_z_vision_p, w_xy_vision_v);
memcpy(z_est, z_est_prev, sizeof(z_est));
memset(corr_gps, 0, sizeof(corr_gps));
memset(corr_vision, 0, sizeof(corr_vision));
memset(corr_mocap, 0, sizeof(corr_mocap));
corr_baro = 0;
} else {
memcpy(z_est_prev, z_est, sizeof(z_est));
}
if (can_estimate_xy) {
/* inertial filter prediction for position */
inertial_filter_predict(dt, x_est, acc[0]);
inertial_filter_predict(dt, y_est, acc[1]);
if (!(isfinite(x_est[0]) && isfinite(x_est[1]) && isfinite(y_est[0]) && isfinite(y_est[1]))) {
write_debug_log("BAD ESTIMATE AFTER PREDICTION", dt, x_est, y_est, z_est, x_est_prev, y_est_prev, z_est_prev,
acc, corr_gps, w_xy_gps_p, w_xy_gps_v, corr_mocap, w_mocap_p,
corr_vision, w_xy_vision_p, w_z_vision_p, w_xy_vision_v);
memcpy(x_est, x_est_prev, sizeof(x_est));
memcpy(y_est, y_est_prev, sizeof(y_est));
}
/* inertial filter correction for position */
if (use_flow) {
eph = fminf(eph, eph_flow);
inertial_filter_correct(corr_flow[0], dt, x_est, 1, params.w_xy_flow * w_flow);
inertial_filter_correct(corr_flow[1], dt, y_est, 1, params.w_xy_flow * w_flow);
}
if (use_gps_xy) {
eph = fminf(eph, gps.eph);
inertial_filter_correct(corr_gps[0][0], dt, x_est, 0, w_xy_gps_p);
inertial_filter_correct(corr_gps[1][0], dt, y_est, 0, w_xy_gps_p);
if (gps.vel_ned_valid && t < gps.timestamp_velocity + gps_topic_timeout) {
inertial_filter_correct(corr_gps[0][1], dt, x_est, 1, w_xy_gps_v);
inertial_filter_correct(corr_gps[1][1], dt, y_est, 1, w_xy_gps_v);
}
}
if (use_vision_xy) {
eph = fminf(eph, eph_vision);
inertial_filter_correct(corr_vision[0][0], dt, x_est, 0, w_xy_vision_p);
inertial_filter_correct(corr_vision[1][0], dt, y_est, 0, w_xy_vision_p);
if (w_xy_vision_v > MIN_VALID_W) {
inertial_filter_correct(corr_vision[0][1], dt, x_est, 1, w_xy_vision_v);
inertial_filter_correct(corr_vision[1][1], dt, y_est, 1, w_xy_vision_v);
}
}
if (use_mocap) {
eph = fminf(eph, eph_mocap);
inertial_filter_correct(corr_mocap[0][0], dt, x_est, 0, w_mocap_p);
inertial_filter_correct(corr_mocap[1][0], dt, y_est, 0, w_mocap_p);
}
if (!(isfinite(x_est[0]) && isfinite(x_est[1]) && isfinite(y_est[0]) && isfinite(y_est[1]))) {
write_debug_log("BAD ESTIMATE AFTER CORRECTION", dt, x_est, y_est, z_est, x_est_prev, y_est_prev, z_est_prev,
acc, corr_gps, w_xy_gps_p, w_xy_gps_v, corr_mocap, w_mocap_p,
corr_vision, w_xy_vision_p, w_z_vision_p, w_xy_vision_v);
memcpy(x_est, x_est_prev, sizeof(x_est));
memcpy(y_est, y_est_prev, sizeof(y_est));
memset(corr_gps, 0, sizeof(corr_gps));
memset(corr_vision, 0, sizeof(corr_vision));
memset(corr_mocap, 0, sizeof(corr_mocap));
memset(corr_flow, 0, sizeof(corr_flow));
} else {
memcpy(x_est_prev, x_est, sizeof(x_est));
memcpy(y_est_prev, y_est, sizeof(y_est));
}
} else {
/* gradually reset xy velocity estimates */
inertial_filter_correct(-x_est[1], dt, x_est, 1, params.w_xy_res_v);
inertial_filter_correct(-y_est[1], dt, y_est, 1, params.w_xy_res_v);
}
if (inav_verbose_mode) {
/* print updates rate */
if (t > updates_counter_start + updates_counter_len) {
float updates_dt = (t - updates_counter_start) * 0.000001f;
warnx(
"updates rate: accelerometer = %.1f/s, baro = %.1f/s, gps = %.1f/s, attitude = %.1f/s, flow = %.1f/s, vision = %.1f/s, mocap = %.1f/s",
(double)(accel_updates / updates_dt),
(double)(baro_updates / updates_dt),
(double)(gps_updates / updates_dt),
(double)(attitude_updates / updates_dt),
(double)(flow_updates / updates_dt),
(double)(vision_updates / updates_dt),
(double)(mocap_updates / updates_dt));
updates_counter_start = t;
accel_updates = 0;
baro_updates = 0;
gps_updates = 0;
attitude_updates = 0;
flow_updates = 0;
vision_updates = 0;
mocap_updates = 0;
}
}
if (t > pub_last + PUB_INTERVAL) {
pub_last = t;
/* push current estimate to buffer */
est_buf[buf_ptr][0][0] = x_est[0];
est_buf[buf_ptr][0][1] = x_est[1];
est_buf[buf_ptr][1][0] = y_est[0];
est_buf[buf_ptr][1][1] = y_est[1];
est_buf[buf_ptr][2][0] = z_est[0];
est_buf[buf_ptr][2][1] = z_est[1];
/* push current rotation matrix to buffer */
memcpy(R_buf[buf_ptr], att.R, sizeof(att.R));
buf_ptr++;
if (buf_ptr >= EST_BUF_SIZE) {
buf_ptr = 0;
}
/* publish local position */
local_pos.xy_valid = can_estimate_xy;
local_pos.v_xy_valid = can_estimate_xy;
local_pos.xy_global = local_pos.xy_valid && use_gps_xy;
local_pos.z_global = local_pos.z_valid && use_gps_z;
local_pos.x = x_est[0];
local_pos.vx = x_est[1];
local_pos.y = y_est[0];
local_pos.vy = y_est[1];
local_pos.z = z_est[0];
local_pos.vz = z_est[1];
local_pos.yaw = att.yaw;
local_pos.dist_bottom_valid = dist_bottom_valid;
local_pos.eph = eph;
local_pos.epv = epv;
if (local_pos.dist_bottom_valid) {
local_pos.dist_bottom = -z_est[0] - surface_offset;
local_pos.dist_bottom_rate = -z_est[1] - surface_offset_rate;
}
local_pos.timestamp = t;
orb_publish(ORB_ID(vehicle_local_position), vehicle_local_position_pub, &local_pos);
if (local_pos.xy_global && local_pos.z_global) {
/* publish global position */
global_pos.timestamp = t;
global_pos.time_utc_usec = gps.time_utc_usec;
double est_lat, est_lon;
map_projection_reproject(&ref, local_pos.x, local_pos.y, &est_lat, &est_lon);
global_pos.lat = est_lat;
global_pos.lon = est_lon;
global_pos.alt = local_pos.ref_alt - local_pos.z;
global_pos.vel_n = local_pos.vx;
global_pos.vel_e = local_pos.vy;
global_pos.vel_d = local_pos.vz;
global_pos.yaw = local_pos.yaw;
global_pos.eph = eph;
global_pos.epv = epv;
if (vehicle_global_position_pub == NULL) {
vehicle_global_position_pub = orb_advertise(ORB_ID(vehicle_global_position), &global_pos);
} else {
orb_publish(ORB_ID(vehicle_global_position), vehicle_global_position_pub, &global_pos);
}
}
}
}
warnx("stopped");
mavlink_log_info(mavlink_fd, "[inav] stopped");
thread_running = false;
return 0;
}
/****************************************************************************
* main
****************************************************************************/
int position_estimator_inav_thread_main(int argc, char *argv[])
{
orb_advert_t mavlink_log_pub = nullptr;
float x_est[2] = { 0.0f, 0.0f }; // pos, vel
float y_est[2] = { 0.0f, 0.0f }; // pos, vel
float z_est[2] = { 0.0f, 0.0f }; // pos, vel
float est_buf[EST_BUF_SIZE][3][2]; // estimated position buffer
float R_buf[EST_BUF_SIZE][3][3]; // rotation matrix buffer
float R_gps[3][3]; // rotation matrix for GPS correction moment
memset(est_buf, 0, sizeof(est_buf));
memset(R_buf, 0, sizeof(R_buf));
memset(R_gps, 0, sizeof(R_gps));
int buf_ptr = 0;
static const float min_eph_epv = 2.0f; // min EPH/EPV, used for weight calculation
static const float max_eph_epv = 20.0f; // max EPH/EPV acceptable for estimation
float eph = max_eph_epv;
float epv = 1.0f;
float eph_flow = 1.0f;
float eph_vision = 0.2f;
float epv_vision = 0.2f;
float eph_mocap = 0.05f;
float epv_mocap = 0.05f;
float x_est_prev[2], y_est_prev[2], z_est_prev[2];
memset(x_est_prev, 0, sizeof(x_est_prev));
memset(y_est_prev, 0, sizeof(y_est_prev));
memset(z_est_prev, 0, sizeof(z_est_prev));
int baro_init_cnt = 0;
int baro_init_num = 200;
float baro_offset = 0.0f; // baro offset for reference altitude, initialized on start, then adjusted
hrt_abstime accel_timestamp = 0;
hrt_abstime baro_timestamp = 0;
bool ref_inited = false;
hrt_abstime ref_init_start = 0;
const hrt_abstime ref_init_delay = 1000000; // wait for 1s after 3D fix
struct map_projection_reference_s ref;
memset(&ref, 0, sizeof(ref));
uint16_t accel_updates = 0;
uint16_t baro_updates = 0;
uint16_t gps_updates = 0;
uint16_t attitude_updates = 0;
uint16_t flow_updates = 0;
uint16_t vision_updates = 0;
uint16_t mocap_updates = 0;
hrt_abstime updates_counter_start = hrt_absolute_time();
hrt_abstime pub_last = hrt_absolute_time();
hrt_abstime t_prev = 0;
/* store error when sensor updates, but correct on each time step to avoid jumps in estimated value */
float acc[] = { 0.0f, 0.0f, 0.0f }; // N E D
float acc_bias[] = { 0.0f, 0.0f, 0.0f }; // body frame
float corr_baro = 0.0f; // D
float corr_gps[3][2] = {
{ 0.0f, 0.0f }, // N (pos, vel)
{ 0.0f, 0.0f }, // E (pos, vel)
{ 0.0f, 0.0f }, // D (pos, vel)
};
float w_gps_xy = 1.0f;
float w_gps_z = 1.0f;
float corr_vision[3][2] = {
{ 0.0f, 0.0f }, // N (pos, vel)
{ 0.0f, 0.0f }, // E (pos, vel)
{ 0.0f, 0.0f }, // D (pos, vel)
};
float corr_mocap[3][1] = {
{ 0.0f }, // N (pos)
{ 0.0f }, // E (pos)
{ 0.0f }, // D (pos)
};
const int mocap_heading = 2;
float dist_ground = 0.0f; //variables for lidar altitude estimation
float corr_lidar = 0.0f;
float lidar_offset = 0.0f;
int lidar_offset_count = 0;
bool lidar_first = true;
bool use_lidar = false;
bool use_lidar_prev = false;
float corr_flow[] = { 0.0f, 0.0f }; // N E
float w_flow = 0.0f;
hrt_abstime lidar_time = 0; // time of last lidar measurement (not filtered)
hrt_abstime lidar_valid_time = 0; // time of last lidar measurement used for correction (filtered)
int n_flow = 0;
float gyro_offset_filtered[] = { 0.0f, 0.0f, 0.0f };
float flow_gyrospeed[] = { 0.0f, 0.0f, 0.0f };
float flow_gyrospeed_filtered[] = { 0.0f, 0.0f, 0.0f };
float att_gyrospeed_filtered[] = { 0.0f, 0.0f, 0.0f };
float yaw_comp[] = { 0.0f, 0.0f };
hrt_abstime flow_time = 0;
float flow_min_dist = 0.2f;
bool gps_valid = false; // GPS is valid
bool lidar_valid = false; // lidar is valid
bool flow_valid = false; // flow is valid
bool flow_accurate = false; // flow should be accurate (this flag not updated if flow_valid == false)
bool vision_valid = false; // vision is valid
bool mocap_valid = false; // mocap is valid
/* declare and safely initialize all structs */
struct actuator_controls_s actuator;
memset(&actuator, 0, sizeof(actuator));
struct actuator_armed_s armed;
memset(&armed, 0, sizeof(armed));
struct sensor_combined_s sensor;
memset(&sensor, 0, sizeof(sensor));
struct vehicle_gps_position_s gps;
memset(&gps, 0, sizeof(gps));
struct vehicle_attitude_s att;
memset(&att, 0, sizeof(att));
struct vehicle_local_position_s local_pos;
memset(&local_pos, 0, sizeof(local_pos));
struct optical_flow_s flow;
memset(&flow, 0, sizeof(flow));
struct vision_position_estimate_s vision;
memset(&vision, 0, sizeof(vision));
struct att_pos_mocap_s mocap;
memset(&mocap, 0, sizeof(mocap));
struct vehicle_global_position_s global_pos;
memset(&global_pos, 0, sizeof(global_pos));
struct distance_sensor_s lidar;
memset(&lidar, 0, sizeof(lidar));
struct vehicle_rates_setpoint_s rates_setpoint;
memset(&rates_setpoint, 0, sizeof(rates_setpoint));
/* subscribe */
int parameter_update_sub = orb_subscribe(ORB_ID(parameter_update));
int actuator_sub = orb_subscribe(ORB_ID_VEHICLE_ATTITUDE_CONTROLS);
int armed_sub = orb_subscribe(ORB_ID(actuator_armed));
int sensor_combined_sub = orb_subscribe(ORB_ID(sensor_combined));
int vehicle_attitude_sub = orb_subscribe(ORB_ID(vehicle_attitude));
int optical_flow_sub = orb_subscribe(ORB_ID(optical_flow));
int vehicle_gps_position_sub = orb_subscribe(ORB_ID(vehicle_gps_position));
int vision_position_estimate_sub = orb_subscribe(ORB_ID(vision_position_estimate));
int att_pos_mocap_sub = orb_subscribe(ORB_ID(att_pos_mocap));
int distance_sensor_sub = orb_subscribe(ORB_ID(distance_sensor));
int vehicle_rate_sp_sub = orb_subscribe(ORB_ID(vehicle_rates_setpoint));
/* advertise */
orb_advert_t vehicle_local_position_pub = orb_advertise(ORB_ID(vehicle_local_position), &local_pos);
orb_advert_t vehicle_global_position_pub = NULL;
struct position_estimator_inav_params params;
memset(¶ms, 0, sizeof(params));
struct position_estimator_inav_param_handles pos_inav_param_handles;
/* initialize parameter handles */
inav_parameters_init(&pos_inav_param_handles);
/* first parameters read at start up */
struct parameter_update_s param_update;
orb_copy(ORB_ID(parameter_update), parameter_update_sub,
¶m_update); /* read from param topic to clear updated flag */
/* first parameters update */
inav_parameters_update(&pos_inav_param_handles, ¶ms);
px4_pollfd_struct_t fds_init[1] = {};
fds_init[0].fd = sensor_combined_sub;
fds_init[0].events = POLLIN;
/* wait for initial baro value */
bool wait_baro = true;
TerrainEstimator *terrain_estimator = new TerrainEstimator();
thread_running = true;
hrt_abstime baro_wait_for_sample_time = hrt_absolute_time();
while (wait_baro && !thread_should_exit) {
int ret = px4_poll(&fds_init[0], 1, 1000);
if (ret < 0) {
/* poll error */
mavlink_log_info(&mavlink_log_pub, "[inav] poll error on init");
} else if (hrt_absolute_time() - baro_wait_for_sample_time > MAX_WAIT_FOR_BARO_SAMPLE) {
wait_baro = false;
mavlink_log_info(&mavlink_log_pub, "[inav] timed out waiting for a baro sample");
}
else if (ret > 0) {
if (fds_init[0].revents & POLLIN) {
orb_copy(ORB_ID(sensor_combined), sensor_combined_sub, &sensor);
if (wait_baro && sensor.baro_timestamp[0] != baro_timestamp) {
baro_timestamp = sensor.baro_timestamp[0];
baro_wait_for_sample_time = hrt_absolute_time();
/* mean calculation over several measurements */
if (baro_init_cnt < baro_init_num) {
if (PX4_ISFINITE(sensor.baro_alt_meter[0])) {
baro_offset += sensor.baro_alt_meter[0];
baro_init_cnt++;
}
} else {
wait_baro = false;
baro_offset /= (float) baro_init_cnt;
local_pos.z_valid = true;
local_pos.v_z_valid = true;
}
}
}
} else {
PX4_WARN("INAV poll timeout");
}
}
/* main loop */
px4_pollfd_struct_t fds[1];
fds[0].fd = vehicle_attitude_sub;
fds[0].events = POLLIN;
while (!thread_should_exit) {
int ret = px4_poll(fds, 1, 20); // wait maximal 20 ms = 50 Hz minimum rate
hrt_abstime t = hrt_absolute_time();
if (ret < 0) {
/* poll error */
mavlink_log_info(&mavlink_log_pub, "[inav] poll error on init");
continue;
} else if (ret > 0) {
/* act on attitude updates */
/* vehicle attitude */
orb_copy(ORB_ID(vehicle_attitude), vehicle_attitude_sub, &att);
attitude_updates++;
bool updated;
/* parameter update */
orb_check(parameter_update_sub, &updated);
if (updated) {
struct parameter_update_s update;
orb_copy(ORB_ID(parameter_update), parameter_update_sub, &update);
inav_parameters_update(&pos_inav_param_handles, ¶ms);
}
/* actuator */
orb_check(actuator_sub, &updated);
if (updated) {
orb_copy(ORB_ID_VEHICLE_ATTITUDE_CONTROLS, actuator_sub, &actuator);
}
/* armed */
orb_check(armed_sub, &updated);
if (updated) {
orb_copy(ORB_ID(actuator_armed), armed_sub, &armed);
}
/* sensor combined */
orb_check(sensor_combined_sub, &updated);
if (updated) {
orb_copy(ORB_ID(sensor_combined), sensor_combined_sub, &sensor);
if (sensor.accelerometer_timestamp[0] != accel_timestamp) {
if (att.R_valid) {
/* correct accel bias */
sensor.accelerometer_m_s2[0] -= acc_bias[0];
sensor.accelerometer_m_s2[1] -= acc_bias[1];
sensor.accelerometer_m_s2[2] -= acc_bias[2];
/* transform acceleration vector from body frame to NED frame */
for (int i = 0; i < 3; i++) {
acc[i] = 0.0f;
for (int j = 0; j < 3; j++) {
acc[i] += PX4_R(att.R, i, j) * sensor.accelerometer_m_s2[j];
}
}
acc[2] += CONSTANTS_ONE_G;
} else {
memset(acc, 0, sizeof(acc));
}
accel_timestamp = sensor.accelerometer_timestamp[0];
accel_updates++;
}
if (sensor.baro_timestamp[0] != baro_timestamp) {
corr_baro = baro_offset - sensor.baro_alt_meter[0] - z_est[0];
baro_timestamp = sensor.baro_timestamp[0];
baro_updates++;
}
}
/* lidar alt estimation */
orb_check(distance_sensor_sub, &updated);
/* update lidar separately, needed by terrain estimator */
if (updated) {
orb_copy(ORB_ID(distance_sensor), distance_sensor_sub, &lidar);
lidar.current_distance += params.lidar_calibration_offset;
}
if (updated) { //check if altitude estimation for lidar is enabled and new sensor data
if (params.enable_lidar_alt_est && lidar.current_distance > lidar.min_distance && lidar.current_distance < lidar.max_distance
&& (PX4_R(att.R, 2, 2) > 0.7f)) {
if (!use_lidar_prev && use_lidar) {
lidar_first = true;
}
use_lidar_prev = use_lidar;
lidar_time = t;
dist_ground = lidar.current_distance * PX4_R(att.R, 2, 2); //vertical distance
if (lidar_first) {
lidar_first = false;
lidar_offset = dist_ground + z_est[0];
mavlink_log_info(&mavlink_log_pub, "[inav] LIDAR: new ground offset");
warnx("[inav] LIDAR: new ground offset");
}
corr_lidar = lidar_offset - dist_ground - z_est[0];
if (fabsf(corr_lidar) > params.lidar_err) { //check for spike
corr_lidar = 0;
lidar_valid = false;
lidar_offset_count++;
if (lidar_offset_count > 3) { //if consecutive bigger/smaller measurements -> new ground offset -> reinit
lidar_first = true;
lidar_offset_count = 0;
}
} else {
corr_lidar = lidar_offset - dist_ground - z_est[0];
lidar_valid = true;
lidar_offset_count = 0;
lidar_valid_time = t;
}
} else {
lidar_valid = false;
}
}
/* optical flow */
orb_check(optical_flow_sub, &updated);
if (updated && lidar_valid) {
orb_copy(ORB_ID(optical_flow), optical_flow_sub, &flow);
flow_time = t;
float flow_q = flow.quality / 255.0f;
float dist_bottom = lidar.current_distance;
if (dist_bottom > flow_min_dist && flow_q > params.flow_q_min && PX4_R(att.R, 2, 2) > 0.7f) {
/* distance to surface */
//float flow_dist = dist_bottom / PX4_R(att.R, 2, 2); //use this if using sonar
float flow_dist = dist_bottom; //use this if using lidar
/* check if flow if too large for accurate measurements */
/* calculate estimated velocity in body frame */
float body_v_est[2] = { 0.0f, 0.0f };
for (int i = 0; i < 2; i++) {
body_v_est[i] = PX4_R(att.R, 0, i) * x_est[1] + PX4_R(att.R, 1, i) * y_est[1] + PX4_R(att.R, 2, i) * z_est[1];
}
/* set this flag if flow should be accurate according to current velocity and attitude rate estimate */
flow_accurate = fabsf(body_v_est[1] / flow_dist - att.rollspeed) < max_flow &&
fabsf(body_v_est[0] / flow_dist + att.pitchspeed) < max_flow;
/*calculate offset of flow-gyro using already calibrated gyro from autopilot*/
flow_gyrospeed[0] = flow.gyro_x_rate_integral / (float)flow.integration_timespan * 1000000.0f;
flow_gyrospeed[1] = flow.gyro_y_rate_integral / (float)flow.integration_timespan * 1000000.0f;
flow_gyrospeed[2] = flow.gyro_z_rate_integral / (float)flow.integration_timespan * 1000000.0f;
//moving average
if (n_flow >= 100) {
gyro_offset_filtered[0] = flow_gyrospeed_filtered[0] - att_gyrospeed_filtered[0];
gyro_offset_filtered[1] = flow_gyrospeed_filtered[1] - att_gyrospeed_filtered[1];
gyro_offset_filtered[2] = flow_gyrospeed_filtered[2] - att_gyrospeed_filtered[2];
n_flow = 0;
flow_gyrospeed_filtered[0] = 0.0f;
flow_gyrospeed_filtered[1] = 0.0f;
flow_gyrospeed_filtered[2] = 0.0f;
att_gyrospeed_filtered[0] = 0.0f;
att_gyrospeed_filtered[1] = 0.0f;
att_gyrospeed_filtered[2] = 0.0f;
} else {
flow_gyrospeed_filtered[0] = (flow_gyrospeed[0] + n_flow * flow_gyrospeed_filtered[0]) / (n_flow + 1);
flow_gyrospeed_filtered[1] = (flow_gyrospeed[1] + n_flow * flow_gyrospeed_filtered[1]) / (n_flow + 1);
flow_gyrospeed_filtered[2] = (flow_gyrospeed[2] + n_flow * flow_gyrospeed_filtered[2]) / (n_flow + 1);
att_gyrospeed_filtered[0] = (att.pitchspeed + n_flow * att_gyrospeed_filtered[0]) / (n_flow + 1);
att_gyrospeed_filtered[1] = (att.rollspeed + n_flow * att_gyrospeed_filtered[1]) / (n_flow + 1);
att_gyrospeed_filtered[2] = (att.yawspeed + n_flow * att_gyrospeed_filtered[2]) / (n_flow + 1);
n_flow++;
}
/*yaw compensation (flow sensor is not in center of rotation) -> params in QGC*/
yaw_comp[0] = - params.flow_module_offset_y * (flow_gyrospeed[2] - gyro_offset_filtered[2]);
yaw_comp[1] = params.flow_module_offset_x * (flow_gyrospeed[2] - gyro_offset_filtered[2]);
/* convert raw flow to angular flow (rad/s) */
float flow_ang[2];
/* check for vehicle rates setpoint - it below threshold -> dont subtract -> better hover */
orb_check(vehicle_rate_sp_sub, &updated);
if (updated)
orb_copy(ORB_ID(vehicle_rates_setpoint), vehicle_rate_sp_sub, &rates_setpoint);
double rate_threshold = 0.15f;
if (fabs(rates_setpoint.pitch) < rate_threshold) {
//warnx("[inav] test ohne comp");
flow_ang[0] = (flow.pixel_flow_x_integral / (float)flow.integration_timespan * 1000000.0f) * params.flow_k;//for now the flow has to be scaled (to small)
}
else {
//warnx("[inav] test mit comp");
//calculate flow [rad/s] and compensate for rotations (and offset of flow-gyro)
flow_ang[0] = ((flow.pixel_flow_x_integral - flow.gyro_x_rate_integral) / (float)flow.integration_timespan * 1000000.0f
+ gyro_offset_filtered[0]) * params.flow_k;//for now the flow has to be scaled (to small)
}
if (fabs(rates_setpoint.roll) < rate_threshold) {
flow_ang[1] = (flow.pixel_flow_y_integral / (float)flow.integration_timespan * 1000000.0f) * params.flow_k;//for now the flow has to be scaled (to small)
}
else {
//calculate flow [rad/s] and compensate for rotations (and offset of flow-gyro)
flow_ang[1] = ((flow.pixel_flow_y_integral - flow.gyro_y_rate_integral) / (float)flow.integration_timespan * 1000000.0f
+ gyro_offset_filtered[1]) * params.flow_k;//for now the flow has to be scaled (to small)
}
/* flow measurements vector */
float flow_m[3];
if (fabs(rates_setpoint.yaw) < rate_threshold) {
flow_m[0] = -flow_ang[0] * flow_dist;
flow_m[1] = -flow_ang[1] * flow_dist;
} else {
flow_m[0] = -flow_ang[0] * flow_dist - yaw_comp[0] * params.flow_k;
flow_m[1] = -flow_ang[1] * flow_dist - yaw_comp[1] * params.flow_k;
}
flow_m[2] = z_est[1];
/* velocity in NED */
float flow_v[2] = { 0.0f, 0.0f };
/* project measurements vector to NED basis, skip Z component */
for (int i = 0; i < 2; i++) {
for (int j = 0; j < 3; j++) {
flow_v[i] += PX4_R(att.R, i, j) * flow_m[j];
}
}
/* velocity correction */
corr_flow[0] = flow_v[0] - x_est[1];
corr_flow[1] = flow_v[1] - y_est[1];
/* adjust correction weight */
float flow_q_weight = (flow_q - params.flow_q_min) / (1.0f - params.flow_q_min);
w_flow = PX4_R(att.R, 2, 2) * flow_q_weight / fmaxf(1.0f, flow_dist);
/* if flow is not accurate, reduce weight for it */
// TODO make this more fuzzy
if (!flow_accurate) {
w_flow *= 0.05f;
}
/* under ideal conditions, on 1m distance assume EPH = 10cm */
eph_flow = 0.1f / w_flow;
flow_valid = true;
} else {
w_flow = 0.0f;
flow_valid = false;
}
flow_updates++;
}
/* check no vision circuit breaker is set */
if (params.no_vision != CBRK_NO_VISION_KEY) {
/* vehicle vision position */
orb_check(vision_position_estimate_sub, &updated);
if (updated) {
orb_copy(ORB_ID(vision_position_estimate), vision_position_estimate_sub, &vision);
static float last_vision_x = 0.0f;
static float last_vision_y = 0.0f;
static float last_vision_z = 0.0f;
/* reset position estimate on first vision update */
if (!vision_valid) {
x_est[0] = vision.x;
x_est[1] = vision.vx;
y_est[0] = vision.y;
y_est[1] = vision.vy;
/* only reset the z estimate if the z weight parameter is not zero */
if (params.w_z_vision_p > MIN_VALID_W) {
z_est[0] = vision.z;
z_est[1] = vision.vz;
}
vision_valid = true;
last_vision_x = vision.x;
last_vision_y = vision.y;
last_vision_z = vision.z;
warnx("VISION estimate valid");
mavlink_log_info(&mavlink_log_pub, "[inav] VISION estimate valid");
}
/* calculate correction for position */
corr_vision[0][0] = vision.x - x_est[0];
corr_vision[1][0] = vision.y - y_est[0];
corr_vision[2][0] = vision.z - z_est[0];
static hrt_abstime last_vision_time = 0;
float vision_dt = (vision.timestamp_boot - last_vision_time) / 1e6f;
last_vision_time = vision.timestamp_boot;
if (vision_dt > 0.000001f && vision_dt < 0.2f) {
vision.vx = (vision.x - last_vision_x) / vision_dt;
vision.vy = (vision.y - last_vision_y) / vision_dt;
vision.vz = (vision.z - last_vision_z) / vision_dt;
last_vision_x = vision.x;
last_vision_y = vision.y;
last_vision_z = vision.z;
/* calculate correction for velocity */
corr_vision[0][1] = vision.vx - x_est[1];
corr_vision[1][1] = vision.vy - y_est[1];
corr_vision[2][1] = vision.vz - z_est[1];
} else {
/* assume zero motion */
corr_vision[0][1] = 0.0f - x_est[1];
corr_vision[1][1] = 0.0f - y_est[1];
corr_vision[2][1] = 0.0f - z_est[1];
}
vision_updates++;
}
}
/* vehicle mocap position */
orb_check(att_pos_mocap_sub, &updated);
if (updated) {
orb_copy(ORB_ID(att_pos_mocap), att_pos_mocap_sub, &mocap);
if (!params.disable_mocap) {
/* reset position estimate on first mocap update */
if (!mocap_valid) {
x_est[0] = mocap.x;
y_est[0] = mocap.y;
z_est[0] = mocap.z;
mocap_valid = true;
warnx("MOCAP data valid");
mavlink_log_info(&mavlink_log_pub, "[inav] MOCAP data valid");
}
/* calculate correction for position */
corr_mocap[0][0] = mocap.x - x_est[0];
corr_mocap[1][0] = mocap.y - y_est[0];
corr_mocap[2][0] = mocap.z - z_est[0];
mocap_updates++;
}
}
/* vehicle GPS position */
orb_check(vehicle_gps_position_sub, &updated);
if (updated) {
orb_copy(ORB_ID(vehicle_gps_position), vehicle_gps_position_sub, &gps);
bool reset_est = false;
/* hysteresis for GPS quality */
if (gps_valid) {
if (gps.eph > max_eph_epv || gps.epv > max_eph_epv || gps.fix_type < 3) {
gps_valid = false;
mavlink_log_info(&mavlink_log_pub, "[inav] GPS signal lost");
warnx("[inav] GPS signal lost");
}
} else {
if (gps.eph < max_eph_epv * 0.7f && gps.epv < max_eph_epv * 0.7f && gps.fix_type >= 3) {
gps_valid = true;
reset_est = true;
mavlink_log_info(&mavlink_log_pub, "[inav] GPS signal found");
warnx("[inav] GPS signal found");
}
}
if (gps_valid) {
double lat = gps.lat * 1e-7;
double lon = gps.lon * 1e-7;
float alt = gps.alt * 1e-3;
/* initialize reference position if needed */
if (!ref_inited) {
if (ref_init_start == 0) {
ref_init_start = t;
} else if (t > ref_init_start + ref_init_delay) {
ref_inited = true;
/* set position estimate to (0, 0, 0), use GPS velocity for XY */
x_est[0] = 0.0f;
x_est[1] = gps.vel_n_m_s;
y_est[0] = 0.0f;
y_est[1] = gps.vel_e_m_s;
local_pos.ref_lat = lat;
local_pos.ref_lon = lon;
local_pos.ref_alt = alt + z_est[0];
local_pos.ref_timestamp = t;
/* initialize projection */
map_projection_init(&ref, lat, lon);
// XXX replace this print
warnx("init ref: lat=%.7f, lon=%.7f, alt=%8.4f", (double)lat, (double)lon, (double)alt);
mavlink_log_info(&mavlink_log_pub, "[inav] init ref: %.7f, %.7f, %8.4f", (double)lat, (double)lon, (double)alt);
}
}
if (ref_inited) {
/* project GPS lat lon to plane */
float gps_proj[2];
map_projection_project(&ref, lat, lon, &(gps_proj[0]), &(gps_proj[1]));
/* reset position estimate when GPS becomes good */
if (reset_est) {
x_est[0] = gps_proj[0];
x_est[1] = gps.vel_n_m_s;
y_est[0] = gps_proj[1];
y_est[1] = gps.vel_e_m_s;
}
/* calculate index of estimated values in buffer */
int est_i = buf_ptr - 1 - min(EST_BUF_SIZE - 1, max(0, (int)(params.delay_gps * 1000000.0f / PUB_INTERVAL)));
if (est_i < 0) {
est_i += EST_BUF_SIZE;
}
/* calculate correction for position */
corr_gps[0][0] = gps_proj[0] - est_buf[est_i][0][0];
corr_gps[1][0] = gps_proj[1] - est_buf[est_i][1][0];
corr_gps[2][0] = local_pos.ref_alt - alt - est_buf[est_i][2][0];
/* calculate correction for velocity */
if (gps.vel_ned_valid) {
corr_gps[0][1] = gps.vel_n_m_s - est_buf[est_i][0][1];
corr_gps[1][1] = gps.vel_e_m_s - est_buf[est_i][1][1];
corr_gps[2][1] = gps.vel_d_m_s - est_buf[est_i][2][1];
} else {
corr_gps[0][1] = 0.0f;
corr_gps[1][1] = 0.0f;
corr_gps[2][1] = 0.0f;
}
/* save rotation matrix at this moment */
memcpy(R_gps, R_buf[est_i], sizeof(R_gps));
w_gps_xy = min_eph_epv / fmaxf(min_eph_epv, gps.eph);
w_gps_z = min_eph_epv / fmaxf(min_eph_epv, gps.epv);
}
} else {
/* no GPS lock */
memset(corr_gps, 0, sizeof(corr_gps));
ref_init_start = 0;
}
gps_updates++;
}
}
/* check for timeout on FLOW topic */
if ((flow_valid || lidar_valid) && t > (flow_time + flow_topic_timeout)) {
flow_valid = false;
warnx("FLOW timeout");
mavlink_log_info(&mavlink_log_pub, "[inav] FLOW timeout");
}
/* check for timeout on GPS topic */
if (gps_valid && (t > (gps.timestamp_position + gps_topic_timeout))) {
gps_valid = false;
warnx("GPS timeout");
mavlink_log_info(&mavlink_log_pub, "[inav] GPS timeout");
}
/* check for timeout on vision topic */
if (vision_valid && (t > (vision.timestamp_boot + vision_topic_timeout))) {
vision_valid = false;
warnx("VISION timeout");
mavlink_log_info(&mavlink_log_pub, "[inav] VISION timeout");
}
/* check for timeout on mocap topic */
if (mocap_valid && (t > (mocap.timestamp_boot + mocap_topic_timeout))) {
mocap_valid = false;
warnx("MOCAP timeout");
mavlink_log_info(&mavlink_log_pub, "[inav] MOCAP timeout");
}
/* check for lidar measurement timeout */
if (lidar_valid && (t > (lidar_time + lidar_timeout))) {
lidar_valid = false;
warnx("LIDAR timeout");
mavlink_log_info(&mavlink_log_pub, "[inav] LIDAR timeout");
}
float dt = t_prev > 0 ? (t - t_prev) / 1000000.0f : 0.0f;
dt = fmaxf(fminf(0.02, dt), 0.0002); // constrain dt from 0.2 to 20 ms
t_prev = t;
/* increase EPH/EPV on each step */
if (eph < 0.000001f) { //get case where eph is 0 -> would stay 0
eph = 0.001;
}
if (eph < max_eph_epv) {
eph *= 1.0f + dt;
}
if (epv < 0.000001f) { //get case where epv is 0 -> would stay 0
epv = 0.001;
}
if (epv < max_eph_epv) {
epv += 0.005f * dt; // add 1m to EPV each 200s (baro drift)
}
/* use GPS if it's valid and reference position initialized */
//bool use_gps_xy = ref_inited && gps_valid && params.w_xy_gps_p > MIN_VALID_W;
//bool use_gps_z = ref_inited && gps_valid && params.w_z_gps_p > MIN_VALID_W;
bool use_gps_xy = false;
bool use_gps_z = false;
/* use VISION if it's valid and has a valid weight parameter */
bool use_vision_xy = vision_valid && params.w_xy_vision_p > MIN_VALID_W;
bool use_vision_z = vision_valid && params.w_z_vision_p > MIN_VALID_W;
/* use MOCAP if it's valid and has a valid weight parameter */
bool use_mocap = mocap_valid && params.w_mocap_p > MIN_VALID_W && params.att_ext_hdg_m == mocap_heading; //check if external heading is mocap
if (params.disable_mocap) { //disable mocap if fake gps is used
use_mocap = false;
}
/* use flow if it's valid and (accurate or no GPS available) */
bool use_flow = flow_valid && (flow_accurate || !use_gps_xy);
/* use LIDAR if it's valid and lidar altitude estimation is enabled */
use_lidar = lidar_valid && params.enable_lidar_alt_est;
bool can_estimate_xy = (eph < max_eph_epv) || use_gps_xy || use_flow || use_vision_xy || use_mocap;
bool dist_bottom_valid = (t < lidar_valid_time + lidar_valid_timeout);
float w_xy_gps_p = params.w_xy_gps_p * w_gps_xy;
float w_xy_gps_v = params.w_xy_gps_v * w_gps_xy;
float w_z_gps_p = params.w_z_gps_p * w_gps_z;
float w_z_gps_v = params.w_z_gps_v * w_gps_z;
float w_xy_vision_p = params.w_xy_vision_p;
float w_xy_vision_v = params.w_xy_vision_v;
float w_z_vision_p = params.w_z_vision_p;
float w_mocap_p = params.w_mocap_p;
/* reduce GPS weight if optical flow is good */
if (use_flow && flow_accurate) {
w_xy_gps_p *= params.w_gps_flow;
w_xy_gps_v *= params.w_gps_flow;
}
/* baro offset correction */
if (use_gps_z) {
float offs_corr = corr_gps[2][0] * w_z_gps_p * dt;
baro_offset += offs_corr;
corr_baro += offs_corr;
}
/* accelerometer bias correction for GPS (use buffered rotation matrix) */
float accel_bias_corr[3] = { 0.0f, 0.0f, 0.0f };
if (use_gps_xy) {
accel_bias_corr[0] -= corr_gps[0][0] * w_xy_gps_p * w_xy_gps_p;
accel_bias_corr[0] -= corr_gps[0][1] * w_xy_gps_v;
accel_bias_corr[1] -= corr_gps[1][0] * w_xy_gps_p * w_xy_gps_p;
accel_bias_corr[1] -= corr_gps[1][1] * w_xy_gps_v;
}
if (use_gps_z) {
accel_bias_corr[2] -= corr_gps[2][0] * w_z_gps_p * w_z_gps_p;
accel_bias_corr[2] -= corr_gps[2][1] * w_z_gps_v;
}
/* transform error vector from NED frame to body frame */
for (int i = 0; i < 3; i++) {
float c = 0.0f;
for (int j = 0; j < 3; j++) {
c += R_gps[j][i] * accel_bias_corr[j];
}
if (PX4_ISFINITE(c)) {
acc_bias[i] += c * params.w_acc_bias * dt;
}
}
/* accelerometer bias correction for VISION (use buffered rotation matrix) */
accel_bias_corr[0] = 0.0f;
accel_bias_corr[1] = 0.0f;
accel_bias_corr[2] = 0.0f;
if (use_vision_xy) {
accel_bias_corr[0] -= corr_vision[0][0] * w_xy_vision_p * w_xy_vision_p;
accel_bias_corr[0] -= corr_vision[0][1] * w_xy_vision_v;
accel_bias_corr[1] -= corr_vision[1][0] * w_xy_vision_p * w_xy_vision_p;
accel_bias_corr[1] -= corr_vision[1][1] * w_xy_vision_v;
}
if (use_vision_z) {
accel_bias_corr[2] -= corr_vision[2][0] * w_z_vision_p * w_z_vision_p;
}
/* accelerometer bias correction for MOCAP (use buffered rotation matrix) */
accel_bias_corr[0] = 0.0f;
accel_bias_corr[1] = 0.0f;
accel_bias_corr[2] = 0.0f;
if (use_mocap) {
accel_bias_corr[0] -= corr_mocap[0][0] * w_mocap_p * w_mocap_p;
accel_bias_corr[1] -= corr_mocap[1][0] * w_mocap_p * w_mocap_p;
accel_bias_corr[2] -= corr_mocap[2][0] * w_mocap_p * w_mocap_p;
}
/* transform error vector from NED frame to body frame */
for (int i = 0; i < 3; i++) {
float c = 0.0f;
for (int j = 0; j < 3; j++) {
c += PX4_R(att.R, j, i) * accel_bias_corr[j];
}
if (PX4_ISFINITE(c)) {
acc_bias[i] += c * params.w_acc_bias * dt;
}
}
/* accelerometer bias correction for flow and baro (assume that there is no delay) */
accel_bias_corr[0] = 0.0f;
accel_bias_corr[1] = 0.0f;
accel_bias_corr[2] = 0.0f;
if (use_flow) {
accel_bias_corr[0] -= corr_flow[0] * params.w_xy_flow;
accel_bias_corr[1] -= corr_flow[1] * params.w_xy_flow;
}
if (use_lidar) {
accel_bias_corr[2] -= corr_lidar * params.w_z_lidar * params.w_z_lidar;
} else {
accel_bias_corr[2] -= corr_baro * params.w_z_baro * params.w_z_baro;
}
/* transform error vector from NED frame to body frame */
for (int i = 0; i < 3; i++) {
float c = 0.0f;
for (int j = 0; j < 3; j++) {
c += PX4_R(att.R, j, i) * accel_bias_corr[j];
}
if (PX4_ISFINITE(c)) {
acc_bias[i] += c * params.w_acc_bias * dt;
}
}
/* inertial filter prediction for altitude */
inertial_filter_predict(dt, z_est, acc[2]);
if (!(PX4_ISFINITE(z_est[0]) && PX4_ISFINITE(z_est[1]))) {
write_debug_log("BAD ESTIMATE AFTER Z PREDICTION", dt, x_est, y_est, z_est, x_est_prev, y_est_prev, z_est_prev,
acc, corr_gps, w_xy_gps_p, w_xy_gps_v, corr_mocap, w_mocap_p,
corr_vision, w_xy_vision_p, w_z_vision_p, w_xy_vision_v);
memcpy(z_est, z_est_prev, sizeof(z_est));
}
/* inertial filter correction for altitude */
if (use_lidar) {
inertial_filter_correct(corr_lidar, dt, z_est, 0, params.w_z_lidar);
} else {
inertial_filter_correct(corr_baro, dt, z_est, 0, params.w_z_baro);
}
if (use_gps_z) {
epv = fminf(epv, gps.epv);
inertial_filter_correct(corr_gps[2][0], dt, z_est, 0, w_z_gps_p);
inertial_filter_correct(corr_gps[2][1], dt, z_est, 1, w_z_gps_v);
}
if (use_vision_z) {
epv = fminf(epv, epv_vision);
inertial_filter_correct(corr_vision[2][0], dt, z_est, 0, w_z_vision_p);
}
if (use_mocap) {
epv = fminf(epv, epv_mocap);
inertial_filter_correct(corr_mocap[2][0], dt, z_est, 0, w_mocap_p);
}
if (!(PX4_ISFINITE(z_est[0]) && PX4_ISFINITE(z_est[1]))) {
write_debug_log("BAD ESTIMATE AFTER Z CORRECTION", dt, x_est, y_est, z_est, x_est_prev, y_est_prev, z_est_prev,
acc, corr_gps, w_xy_gps_p, w_xy_gps_v, corr_mocap, w_mocap_p,
corr_vision, w_xy_vision_p, w_z_vision_p, w_xy_vision_v);
memcpy(z_est, z_est_prev, sizeof(z_est));
memset(corr_gps, 0, sizeof(corr_gps));
memset(corr_vision, 0, sizeof(corr_vision));
memset(corr_mocap, 0, sizeof(corr_mocap));
corr_baro = 0;
} else {
memcpy(z_est_prev, z_est, sizeof(z_est));
}
if (can_estimate_xy) {
/* inertial filter prediction for position */
inertial_filter_predict(dt, x_est, acc[0]);
inertial_filter_predict(dt, y_est, acc[1]);
if (!(PX4_ISFINITE(x_est[0]) && PX4_ISFINITE(x_est[1]) && PX4_ISFINITE(y_est[0]) && PX4_ISFINITE(y_est[1]))) {
write_debug_log("BAD ESTIMATE AFTER PREDICTION", dt, x_est, y_est, z_est, x_est_prev, y_est_prev, z_est_prev,
acc, corr_gps, w_xy_gps_p, w_xy_gps_v, corr_mocap, w_mocap_p,
corr_vision, w_xy_vision_p, w_z_vision_p, w_xy_vision_v);
memcpy(x_est, x_est_prev, sizeof(x_est));
memcpy(y_est, y_est_prev, sizeof(y_est));
}
/* inertial filter correction for position */
if (use_flow) {
eph = fminf(eph, eph_flow);
inertial_filter_correct(corr_flow[0], dt, x_est, 1, params.w_xy_flow * w_flow);
inertial_filter_correct(corr_flow[1], dt, y_est, 1, params.w_xy_flow * w_flow);
}
if (use_gps_xy) {
eph = fminf(eph, gps.eph);
inertial_filter_correct(corr_gps[0][0], dt, x_est, 0, w_xy_gps_p);
inertial_filter_correct(corr_gps[1][0], dt, y_est, 0, w_xy_gps_p);
if (gps.vel_ned_valid && t < gps.timestamp_velocity + gps_topic_timeout) {
inertial_filter_correct(corr_gps[0][1], dt, x_est, 1, w_xy_gps_v);
inertial_filter_correct(corr_gps[1][1], dt, y_est, 1, w_xy_gps_v);
}
}
if (use_vision_xy) {
eph = fminf(eph, eph_vision);
inertial_filter_correct(corr_vision[0][0], dt, x_est, 0, w_xy_vision_p);
inertial_filter_correct(corr_vision[1][0], dt, y_est, 0, w_xy_vision_p);
if (w_xy_vision_v > MIN_VALID_W) {
inertial_filter_correct(corr_vision[0][1], dt, x_est, 1, w_xy_vision_v);
inertial_filter_correct(corr_vision[1][1], dt, y_est, 1, w_xy_vision_v);
}
}
if (use_mocap) {
eph = fminf(eph, eph_mocap);
inertial_filter_correct(corr_mocap[0][0], dt, x_est, 0, w_mocap_p);
inertial_filter_correct(corr_mocap[1][0], dt, y_est, 0, w_mocap_p);
}
if (!(PX4_ISFINITE(x_est[0]) && PX4_ISFINITE(x_est[1]) && PX4_ISFINITE(y_est[0]) && PX4_ISFINITE(y_est[1]))) {
write_debug_log("BAD ESTIMATE AFTER CORRECTION", dt, x_est, y_est, z_est, x_est_prev, y_est_prev, z_est_prev,
acc, corr_gps, w_xy_gps_p, w_xy_gps_v, corr_mocap, w_mocap_p,
corr_vision, w_xy_vision_p, w_z_vision_p, w_xy_vision_v);
memcpy(x_est, x_est_prev, sizeof(x_est));
memcpy(y_est, y_est_prev, sizeof(y_est));
memset(corr_gps, 0, sizeof(corr_gps));
memset(corr_vision, 0, sizeof(corr_vision));
memset(corr_mocap, 0, sizeof(corr_mocap));
memset(corr_flow, 0, sizeof(corr_flow));
} else {
memcpy(x_est_prev, x_est, sizeof(x_est));
memcpy(y_est_prev, y_est, sizeof(y_est));
}
} else {
/* gradually reset xy velocity estimates */
inertial_filter_correct(-x_est[1], dt, x_est, 1, params.w_xy_res_v);
inertial_filter_correct(-y_est[1], dt, y_est, 1, params.w_xy_res_v);
}
/* run terrain estimator */
terrain_estimator->predict(dt, &att, &sensor, &lidar);
terrain_estimator->measurement_update(hrt_absolute_time(), &gps, &lidar, &att);
if (inav_verbose_mode) {
/* print updates rate */
if (t > updates_counter_start + updates_counter_len) {
float updates_dt = (t - updates_counter_start) * 0.000001f;
warnx(
"updates rate: accelerometer = %.1f/s, baro = %.1f/s, gps = %.1f/s, attitude = %.1f/s, flow = %.1f/s, vision = %.1f/s, mocap = %.1f/s",
(double)(accel_updates / updates_dt),
(double)(baro_updates / updates_dt),
(double)(gps_updates / updates_dt),
(double)(attitude_updates / updates_dt),
(double)(flow_updates / updates_dt),
(double)(vision_updates / updates_dt),
(double)(mocap_updates / updates_dt));
updates_counter_start = t;
accel_updates = 0;
baro_updates = 0;
gps_updates = 0;
attitude_updates = 0;
flow_updates = 0;
vision_updates = 0;
mocap_updates = 0;
}
}
if (t > pub_last + PUB_INTERVAL) {
pub_last = t;
/* push current estimate to buffer */
est_buf[buf_ptr][0][0] = x_est[0];
est_buf[buf_ptr][0][1] = x_est[1];
est_buf[buf_ptr][1][0] = y_est[0];
est_buf[buf_ptr][1][1] = y_est[1];
est_buf[buf_ptr][2][0] = z_est[0];
est_buf[buf_ptr][2][1] = z_est[1];
/* push current rotation matrix to buffer */
memcpy(R_buf[buf_ptr], att.R, sizeof(att.R));
buf_ptr++;
if (buf_ptr >= EST_BUF_SIZE) {
buf_ptr = 0;
}
/* publish local position */
local_pos.xy_valid = can_estimate_xy;
local_pos.v_xy_valid = can_estimate_xy;
//local_pos.xy_global = local_pos.xy_valid && use_gps_xy;
//local_pos.z_global = local_pos.z_valid && use_gps_z;
local_pos.xy_global = true;
local_pos.z_global = true;
local_pos.x = x_est[0];
local_pos.vx = x_est[1];
local_pos.y = y_est[0];
local_pos.vy = y_est[1];
local_pos.z = z_est[0];
local_pos.vz = z_est[1];
local_pos.yaw = att.yaw;
local_pos.dist_bottom_valid = dist_bottom_valid;
local_pos.eph = eph;
local_pos.epv = epv;
if (local_pos.dist_bottom_valid) {
local_pos.dist_bottom = dist_ground;
local_pos.dist_bottom_rate = - z_est[1];
}
local_pos.timestamp = t;
orb_publish(ORB_ID(vehicle_local_position), vehicle_local_position_pub, &local_pos);
if (local_pos.xy_global && local_pos.z_global) {
/* publish global position */
global_pos.timestamp = t;
global_pos.time_utc_usec = gps.time_utc_usec;
double est_lat, est_lon;
map_projection_reproject(&ref, local_pos.x, local_pos.y, &est_lat, &est_lon);
global_pos.lat = est_lat;
global_pos.lon = est_lon;
global_pos.alt = local_pos.ref_alt - local_pos.z;
global_pos.vel_n = local_pos.vx;
global_pos.vel_e = local_pos.vy;
global_pos.vel_d = local_pos.vz;
global_pos.yaw = local_pos.yaw;
global_pos.eph = eph;
global_pos.epv = epv;
if (terrain_estimator->is_valid()) {
global_pos.terrain_alt = global_pos.alt - terrain_estimator->get_distance_to_ground();
global_pos.terrain_alt_valid = true;
} else {
global_pos.terrain_alt_valid = false;
}
global_pos.pressure_alt = sensor.baro_alt_meter[0];
if (vehicle_global_position_pub == NULL) {
vehicle_global_position_pub = orb_advertise(ORB_ID(vehicle_global_position), &global_pos);
} else {
orb_publish(ORB_ID(vehicle_global_position), vehicle_global_position_pub, &global_pos);
}
}
}
}
warnx("stopped");
mavlink_log_info(&mavlink_log_pub, "[inav] stopped");
thread_running = false;
return 0;
}
