/**************************************************************************** * * Copyright (c) 2012 PX4 Development Team. All rights reserved. * * Redistribution and use in source and binary forms, with or without * modification, are permitted provided that the following conditions * are met: * * 1. Redistributions of source code must retain the above copyright * notice, this list of conditions and the following disclaimer. * 2. Redistributions in binary form must reproduce the above copyright * notice, this list of conditions and the following disclaimer in * the documentation and/or other materials provided with the * distribution. * 3. Neither the name PX4 nor the names of its contributors may be * used to endorse or promote products derived from this software * without specific prior written permission. * * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS * "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS * FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE * COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, * INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, * BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS * OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED * AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT * LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN * ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE * POSSIBILITY OF SUCH DAMAGE. * ****************************************************************************/ /** * @file calibration_routines.cpp * Calibration routines implementations. * * @author Lorenz Meier */ #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include "calibration_routines.h" #include "calibration_messages.h" #include "commander_helper.h" int sphere_fit_least_squares(const float x[], const float y[], const float z[], unsigned int size, unsigned int max_iterations, float delta, float *sphere_x, float *sphere_y, float *sphere_z, float *sphere_radius) { float x_sumplain = 0.0f; float x_sumsq = 0.0f; float x_sumcube = 0.0f; float y_sumplain = 0.0f; float y_sumsq = 0.0f; float y_sumcube = 0.0f; float z_sumplain = 0.0f; float z_sumsq = 0.0f; float z_sumcube = 0.0f; float xy_sum = 0.0f; float xz_sum = 0.0f; float yz_sum = 0.0f; float x2y_sum = 0.0f; float x2z_sum = 0.0f; float y2x_sum = 0.0f; float y2z_sum = 0.0f; float z2x_sum = 0.0f; float z2y_sum = 0.0f; for (unsigned int i = 0; i < size; i++) { float x2 = x[i] * x[i]; float y2 = y[i] * y[i]; float z2 = z[i] * z[i]; x_sumplain += x[i]; x_sumsq += x2; x_sumcube += x2 * x[i]; y_sumplain += y[i]; y_sumsq += y2; y_sumcube += y2 * y[i]; z_sumplain += z[i]; z_sumsq += z2; z_sumcube += z2 * z[i]; xy_sum += x[i] * y[i]; xz_sum += x[i] * z[i]; yz_sum += y[i] * z[i]; x2y_sum += x2 * y[i]; x2z_sum += x2 * z[i]; y2x_sum += y2 * x[i]; y2z_sum += y2 * z[i]; z2x_sum += z2 * x[i]; z2y_sum += z2 * y[i]; } // //Least Squares Fit a sphere A,B,C with radius squared Rsq to 3D data // // P is a structure that has been computed with the data earlier. // P.npoints is the number of elements; the length of X,Y,Z are identical. // P's members are logically named. // // X[n] is the x component of point n // Y[n] is the y component of point n // Z[n] is the z component of point n // // A is the x coordiante of the sphere // B is the y coordiante of the sphere // C is the z coordiante of the sphere // Rsq is the radius squared of the sphere. // //This method should converge; maybe 5-100 iterations or more. // float x_sum = x_sumplain / size; //sum( X[n] ) float x_sum2 = x_sumsq / size; //sum( X[n]^2 ) float x_sum3 = x_sumcube / size; //sum( X[n]^3 ) float y_sum = y_sumplain / size; //sum( Y[n] ) float y_sum2 = y_sumsq / size; //sum( Y[n]^2 ) float y_sum3 = y_sumcube / size; //sum( Y[n]^3 ) float z_sum = z_sumplain / size; //sum( Z[n] ) float z_sum2 = z_sumsq / size; //sum( Z[n]^2 ) float z_sum3 = z_sumcube / size; //sum( Z[n]^3 ) float XY = xy_sum / size; //sum( X[n] * Y[n] ) float XZ = xz_sum / size; //sum( X[n] * Z[n] ) float YZ = yz_sum / size; //sum( Y[n] * Z[n] ) float X2Y = x2y_sum / size; //sum( X[n]^2 * Y[n] ) float X2Z = x2z_sum / size; //sum( X[n]^2 * Z[n] ) float Y2X = y2x_sum / size; //sum( Y[n]^2 * X[n] ) float Y2Z = y2z_sum / size; //sum( Y[n]^2 * Z[n] ) float Z2X = z2x_sum / size; //sum( Z[n]^2 * X[n] ) float Z2Y = z2y_sum / size; //sum( Z[n]^2 * Y[n] ) //Reduction of multiplications float F0 = x_sum2 + y_sum2 + z_sum2; float F1 = 0.5f * F0; float F2 = -8.0f * (x_sum3 + Y2X + Z2X); float F3 = -8.0f * (X2Y + y_sum3 + Z2Y); float F4 = -8.0f * (X2Z + Y2Z + z_sum3); //Set initial conditions: float A = x_sum; float B = y_sum; float C = z_sum; //First iteration computation: float A2 = A * A; float B2 = B * B; float C2 = C * C; float QS = A2 + B2 + C2; float QB = -2.0f * (A * x_sum + B * y_sum + C * z_sum); //Set initial conditions: float Rsq = F0 + QB + QS; //First iteration computation: float Q0 = 0.5f * (QS - Rsq); float Q1 = F1 + Q0; float Q2 = 8.0f * (QS - Rsq + QB + F0); float aA, aB, aC, nA, nB, nC, dA, dB, dC; //Iterate N times, ignore stop condition. unsigned int n = 0; while (n < max_iterations) { n++; //Compute denominator: aA = Q2 + 16.0f * (A2 - 2.0f * A * x_sum + x_sum2); aB = Q2 + 16.0f * (B2 - 2.0f * B * y_sum + y_sum2); aC = Q2 + 16.0f * (C2 - 2.0f * C * z_sum + z_sum2); aA = (fabsf(aA) < FLT_EPSILON) ? 1.0f : aA; aB = (fabsf(aB) < FLT_EPSILON) ? 1.0f : aB; aC = (fabsf(aC) < FLT_EPSILON) ? 1.0f : aC; //Compute next iteration nA = A - ((F2 + 16.0f * (B * XY + C * XZ + x_sum * (-A2 - Q0) + A * (x_sum2 + Q1 - C * z_sum - B * y_sum))) / aA); nB = B - ((F3 + 16.0f * (A * XY + C * YZ + y_sum * (-B2 - Q0) + B * (y_sum2 + Q1 - A * x_sum - C * z_sum))) / aB); nC = C - ((F4 + 16.0f * (A * XZ + B * YZ + z_sum * (-C2 - Q0) + C * (z_sum2 + Q1 - A * x_sum - B * y_sum))) / aC); //Check for stop condition dA = (nA - A); dB = (nB - B); dC = (nC - C); if ((dA * dA + dB * dB + dC * dC) <= delta) { break; } //Compute next iteration's values A = nA; B = nB; C = nC; A2 = A * A; B2 = B * B; C2 = C * C; QS = A2 + B2 + C2; QB = -2.0f * (A * x_sum + B * y_sum + C * z_sum); Rsq = F0 + QB + QS; Q0 = 0.5f * (QS - Rsq); Q1 = F1 + Q0; Q2 = 8.0f * (QS - Rsq + QB + F0); } *sphere_x = A; *sphere_y = B; *sphere_z = C; *sphere_radius = sqrtf(Rsq); return 0; } int ellipsoid_fit_least_squares(const float x[], const float y[], const float z[], unsigned int size, unsigned int max_iterations, float delta, float *offset_x, float *offset_y, float *offset_z, float *sphere_radius, float *diag_x, float *diag_y, float *diag_z, float *offdiag_x, float *offdiag_y, float *offdiag_z) { float _fitness = 1.0e30f, _sphere_lambda = 1.0f, _ellipsoid_lambda = 1.0f; for (int i = 0; i < max_iterations; i++) { run_lm_sphere_fit(x, y, z, _fitness, _sphere_lambda, size, offset_x, offset_y, offset_z, sphere_radius, diag_x, diag_y, diag_z, offdiag_x, offdiag_y, offdiag_z); } _fitness = 1.0e30f; for (int i = 0; i < max_iterations; i++) { run_lm_ellipsoid_fit(x, y, z, _fitness, _ellipsoid_lambda, size, offset_x, offset_y, offset_z, sphere_radius, diag_x, diag_y, diag_z, offdiag_x, offdiag_y, offdiag_z); } return 0; } int run_lm_sphere_fit(const float x[], const float y[], const float z[], float &_fitness, float &_sphere_lambda, unsigned int size, float *offset_x, float *offset_y, float *offset_z, float *sphere_radius, float *diag_x, float *diag_y, float *diag_z, float *offdiag_x, float *offdiag_y, float *offdiag_z) { //Run Sphere Fit using Levenberg Marquardt LSq Fit const float lma_damping = 10.0f; float _samples_collected = size; float fitness = _fitness; float fit1 = 0.0f, fit2 = 0.0f; float JTJ[16]; float JTJ2[16]; float JTFI[4]; float residual = 0.0f; memset(JTJ, 0, sizeof(JTJ)); memset(JTJ2, 0, sizeof(JTJ2)); memset(JTFI, 0, sizeof(JTFI)); // Gauss Newton Part common for all kind of extensions including LM for (uint16_t k = 0; k < _samples_collected; k++) { float sphere_jacob[4]; //Calculate Jacobian float A = (*diag_x * (x[k] - *offset_x)) + (*offdiag_x * (y[k] - *offset_y)) + (*offdiag_y * (z[k] - *offset_z)); float B = (*offdiag_x * (x[k] - *offset_x)) + (*diag_y * (y[k] - *offset_y)) + (*offdiag_z * (z[k] - *offset_z)); float C = (*offdiag_y * (x[k] - *offset_x)) + (*offdiag_z * (y[k] - *offset_y)) + (*diag_z * (z[k] - *offset_z)); float length = sqrtf(A * A + B * B + C * C); // 0: partial derivative (radius wrt fitness fn) fn operated on sample sphere_jacob[0] = 1.0f; // 1-3: partial derivative (offsets wrt fitness fn) fn operated on sample sphere_jacob[1] = 1.0f * (((*diag_x * A) + (*offdiag_x * B) + (*offdiag_y * C)) / length); sphere_jacob[2] = 1.0f * (((*offdiag_x * A) + (*diag_y * B) + (*offdiag_z * C)) / length); sphere_jacob[3] = 1.0f * (((*offdiag_y * A) + (*offdiag_z * B) + (*diag_z * C)) / length); residual = *sphere_radius - length; for (uint8_t i = 0; i < 4; i++) { // compute JTJ for (uint8_t j = 0; j < 4; j++) { JTJ[i * 4 + j] += sphere_jacob[i] * sphere_jacob[j]; JTJ2[i * 4 + j] += sphere_jacob[i] * sphere_jacob[j]; //a backup JTJ for LM } JTFI[i] += sphere_jacob[i] * residual; } } //------------------------Levenberg-Marquardt-part-starts-here---------------------------------// //refer: http://en.wikipedia.org/wiki/Levenberg%E2%80%93Marquardt_algorithm#Choice_of_damping_parameter float fit1_params[4] = {*sphere_radius, *offset_x, *offset_y, *offset_z}; float fit2_params[4]; memcpy(fit2_params, fit1_params, sizeof(fit1_params)); for (uint8_t i = 0; i < 4; i++) { JTJ[i * 4 + i] += _sphere_lambda; JTJ2[i * 4 + i] += _sphere_lambda / lma_damping; } if (!inverse4x4(JTJ, JTJ)) { return -1; } if (!inverse4x4(JTJ2, JTJ2)) { return -1; } for (uint8_t row = 0; row < 4; row++) { for (uint8_t col = 0; col < 4; col++) { fit1_params[row] -= JTFI[col] * JTJ[row * 4 + col]; fit2_params[row] -= JTFI[col] * JTJ2[row * 4 + col]; } } //Calculate mean squared residuals for (uint16_t k = 0; k < _samples_collected; k++) { float A = (*diag_x * (x[k] - fit1_params[1])) + (*offdiag_x * (y[k] - fit1_params[2])) + (*offdiag_y * (z[k] + fit1_params[3])); float B = (*offdiag_x * (x[k] - fit1_params[1])) + (*diag_y * (y[k] - fit1_params[2])) + (*offdiag_z * (z[k] + fit1_params[3])); float C = (*offdiag_y * (x[k] - fit1_params[1])) + (*offdiag_z * (y[k] - fit1_params[2])) + (*diag_z * (z[k] - fit1_params[3])); float length = sqrtf(A * A + B * B + C * C); residual = fit1_params[0] - length; fit1 += residual * residual; A = (*diag_x * (x[k] - fit2_params[1])) + (*offdiag_x * (y[k] - fit2_params[2])) + (*offdiag_y * (z[k] - fit2_params[3])); B = (*offdiag_x * (x[k] - fit2_params[1])) + (*diag_y * (y[k] - fit2_params[2])) + (*offdiag_z * (z[k] - fit2_params[3])); C = (*offdiag_y * (x[k] - fit2_params[1])) + (*offdiag_z * (y[k] - fit2_params[2])) + (*diag_z * (z[k] - fit2_params[3])); length = sqrtf(A * A + B * B + C * C); residual = fit2_params[0] - length; fit2 += residual * residual; } fit1 = sqrtf(fit1) / _samples_collected; fit2 = sqrtf(fit2) / _samples_collected; if (fit1 > _fitness && fit2 > _fitness) { _sphere_lambda *= lma_damping; } else if (fit2 < _fitness && fit2 < fit1) { _sphere_lambda /= lma_damping; memcpy(fit1_params, fit2_params, sizeof(fit1_params)); fitness = fit2; } else if (fit1 < _fitness) { fitness = fit1; } //--------------------Levenberg-Marquardt-part-ends-here--------------------------------// if (PX4_ISFINITE(fitness) && fitness < _fitness) { _fitness = fitness; *sphere_radius = fit1_params[0]; *offset_x = fit1_params[1]; *offset_y = fit1_params[2]; *offset_z = fit1_params[3]; return 0; } else { return -1; } } int run_lm_ellipsoid_fit(const float x[], const float y[], const float z[], float &_fitness, float &_sphere_lambda, unsigned int size, float *offset_x, float *offset_y, float *offset_z, float *sphere_radius, float *diag_x, float *diag_y, float *diag_z, float *offdiag_x, float *offdiag_y, float *offdiag_z) { //Run Sphere Fit using Levenberg Marquardt LSq Fit const float lma_damping = 10.0f; float _samples_collected = size; float fitness = _fitness; float fit1 = 0.0f, fit2 = 0.0f; float JTJ[81]; float JTJ2[81]; float JTFI[9]; float residual = 0.0f; memset(JTJ, 0, sizeof(JTJ)); memset(JTJ2, 0, sizeof(JTJ2)); memset(JTFI, 0, sizeof(JTFI)); float ellipsoid_jacob[9]; // Gauss Newton Part common for all kind of extensions including LM for (uint16_t k = 0; k < _samples_collected; k++) { //Calculate Jacobian float A = (*diag_x * (x[k] - *offset_x)) + (*offdiag_x * (y[k] - *offset_y)) + (*offdiag_y * (z[k] - *offset_z)); float B = (*offdiag_x * (x[k] - *offset_x)) + (*diag_y * (y[k] - *offset_y)) + (*offdiag_z * (z[k] - *offset_z)); float C = (*offdiag_y * (x[k] - *offset_x)) + (*offdiag_z * (y[k] - *offset_y)) + (*diag_z * (z[k] - *offset_z)); float length = sqrtf(A * A + B * B + C * C); residual = *sphere_radius - length; fit1 += residual * residual; // 0-2: partial derivative (offset wrt fitness fn) fn operated on sample ellipsoid_jacob[0] = 1.0f * (((*diag_x * A) + (*offdiag_x * B) + (*offdiag_y * C)) / length); ellipsoid_jacob[1] = 1.0f * (((*offdiag_x * A) + (*diag_y * B) + (*offdiag_z * C)) / length); ellipsoid_jacob[2] = 1.0f * (((*offdiag_y * A) + (*offdiag_z * B) + (*diag_z * C)) / length); // 3-5: partial derivative (diag offset wrt fitness fn) fn operated on sample ellipsoid_jacob[3] = -1.0f * ((x[k] + *offset_x) * A) / length; ellipsoid_jacob[4] = -1.0f * ((y[k] + *offset_y) * B) / length; ellipsoid_jacob[5] = -1.0f * ((z[k] + *offset_z) * C) / length; // 6-8: partial derivative (off-diag offset wrt fitness fn) fn operated on sample ellipsoid_jacob[6] = -1.0f * (((y[k] + *offset_y) * A) + ((x[k] + *offset_x) * B)) / length; ellipsoid_jacob[7] = -1.0f * (((z[k] + *offset_z) * A) + ((x[k] + *offset_x) * C)) / length; ellipsoid_jacob[8] = -1.0f * (((z[k] + *offset_z) * B) + ((y[k] + *offset_y) * C)) / length; for (uint8_t i = 0; i < 9; i++) { // compute JTJ for (uint8_t j = 0; j < 9; j++) { JTJ[i * 9 + j] += ellipsoid_jacob[i] * ellipsoid_jacob[j]; JTJ2[i * 9 + j] += ellipsoid_jacob[i] * ellipsoid_jacob[j]; //a backup JTJ for LM } JTFI[i] += ellipsoid_jacob[i] * residual; } } //------------------------Levenberg-Marquardt-part-starts-here---------------------------------// //refer: http://en.wikipedia.org/wiki/Levenberg%E2%80%93Marquardt_algorithm#Choice_of_damping_parameter float fit1_params[9] = {*offset_x, *offset_y, *offset_z, *diag_x, *diag_y, *diag_z, *offdiag_x, *offdiag_y, *offdiag_z}; float fit2_params[9]; memcpy(fit2_params, fit1_params, sizeof(fit1_params)); for (uint8_t i = 0; i < 9; i++) { JTJ[i * 9 + i] += _sphere_lambda; JTJ2[i * 9 + i] += _sphere_lambda / lma_damping; } if (!mat_inverse(JTJ, JTJ, 9)) { return -1; } if (!mat_inverse(JTJ2, JTJ2, 9)) { return -1; } for (uint8_t row = 0; row < 9; row++) { for (uint8_t col = 0; col < 9; col++) { fit1_params[row] -= JTFI[col] * JTJ[row * 9 + col]; fit2_params[row] -= JTFI[col] * JTJ2[row * 9 + col]; } } //Calculate mean squared residuals for (uint16_t k = 0; k < _samples_collected; k++) { float A = (fit1_params[3] * (x[k] - fit1_params[0])) + (fit1_params[6] * (y[k] - fit1_params[1])) + (fit1_params[7] * (z[k] - fit1_params[2])); float B = (fit1_params[6] * (x[k] - fit1_params[0])) + (fit1_params[4] * (y[k] - fit1_params[1])) + (fit1_params[8] * (z[k] - fit1_params[2])); float C = (fit1_params[7] * (x[k] - fit1_params[0])) + (fit1_params[8] * (y[k] - fit1_params[1])) + (fit1_params[5] * (z[k] - fit1_params[2])); float length = sqrtf(A * A + B * B + C * C); residual = *sphere_radius - length; fit1 += residual * residual; A = (fit2_params[3] * (x[k] - fit2_params[0])) + (fit2_params[6] * (y[k] - fit2_params[1])) + (fit2_params[7] * (z[k] - fit2_params[2])); B = (fit2_params[6] * (x[k] - fit2_params[0])) + (fit2_params[4] * (y[k] - fit2_params[1])) + (fit2_params[8] * (z[k] - fit2_params[2])); C = (fit2_params[7] * (x[k] - fit2_params[0])) + (fit2_params[8] * (y[k] - fit2_params[1])) + (fit2_params[5] * (z[k] - fit2_params[2])); length = sqrtf(A * A + B * B + C * C); residual = *sphere_radius - length; fit2 += residual * residual; } fit1 = sqrtf(fit1) / _samples_collected; fit2 = sqrtf(fit2) / _samples_collected; if (fit1 > _fitness && fit2 > _fitness) { _sphere_lambda *= lma_damping; } else if (fit2 < _fitness && fit2 < fit1) { _sphere_lambda /= lma_damping; memcpy(fit1_params, fit2_params, sizeof(fit1_params)); fitness = fit2; } else if (fit1 < _fitness) { fitness = fit1; } //--------------------Levenberg-Marquardt-part-ends-here--------------------------------// if (PX4_ISFINITE(fitness) && fitness < _fitness) { _fitness = fitness; *offset_x = fit1_params[0]; *offset_y = fit1_params[1]; *offset_z = fit1_params[2]; *diag_x = fit1_params[3]; *diag_y = fit1_params[4]; *diag_z = fit1_params[5]; *offdiag_x = fit1_params[6]; *offdiag_y = fit1_params[7]; *offdiag_z = fit1_params[8]; return 0; } else { return -1; } } enum detect_orientation_return detect_orientation(orb_advert_t *mavlink_log_pub, int cancel_sub, int accel_sub, bool lenient_still_position) { static constexpr unsigned ndim = 3; float accel_ema[ndim] = { 0.0f }; // exponential moving average of accel float accel_disp[3] = { 0.0f, 0.0f, 0.0f }; // max-hold dispersion of accel static constexpr float ema_len = 0.5f; // EMA time constant in seconds static constexpr float normal_still_thr = 0.25; // normal still threshold float still_thr2 = powf(lenient_still_position ? (normal_still_thr * 3) : normal_still_thr, 2); static constexpr float accel_err_thr = 5.0f; // set accel error threshold to 5m/s^2 const hrt_abstime still_time = lenient_still_position ? 500000 : 1300000; // still time required in us px4_pollfd_struct_t fds[1]; fds[0].fd = accel_sub; fds[0].events = POLLIN; const hrt_abstime t_start = hrt_absolute_time(); /* set timeout to 30s */ static constexpr hrt_abstime timeout = 90000000; hrt_abstime t_timeout = t_start + timeout; hrt_abstime t = t_start; hrt_abstime t_prev = t_start; hrt_abstime t_still = 0; unsigned poll_errcount = 0; while (true) { /* wait blocking for new data */ int poll_ret = px4_poll(fds, 1, 1000); if (poll_ret) { struct sensor_combined_s sensor; orb_copy(ORB_ID(sensor_combined), accel_sub, &sensor); t = hrt_absolute_time(); float dt = (t - t_prev) / 1000000.0f; t_prev = t; float w = dt / ema_len; for (unsigned i = 0; i < ndim; i++) { float di = sensor.accelerometer_m_s2[i]; float d = di - accel_ema[i]; accel_ema[i] += d * w; d = d * d; accel_disp[i] = accel_disp[i] * (1.0f - w); if (d > still_thr2 * 8.0f) { d = still_thr2 * 8.0f; } if (d > accel_disp[i]) { accel_disp[i] = d; } } /* still detector with hysteresis */ if (accel_disp[0] < still_thr2 && accel_disp[1] < still_thr2 && accel_disp[2] < still_thr2) { /* is still now */ if (t_still == 0) { /* first time */ calibration_log_info(mavlink_log_pub, "[cal] detected rest position, hold still..."); t_still = t; t_timeout = t + timeout; } else { /* still since t_still */ if (t > t_still + still_time) { /* vehicle is still, exit from the loop to detection of its orientation */ break; } } } else if (accel_disp[0] > still_thr2 * 4.0f || accel_disp[1] > still_thr2 * 4.0f || accel_disp[2] > still_thr2 * 4.0f) { /* not still, reset still start time */ if (t_still != 0) { calibration_log_info(mavlink_log_pub, "[cal] detected motion, hold still..."); usleep(200000); t_still = 0; } } } else if (poll_ret == 0) { poll_errcount++; } if (t > t_timeout) { poll_errcount++; } if (poll_errcount > 1000) { calibration_log_critical(mavlink_log_pub, CAL_ERROR_SENSOR_MSG); return DETECT_ORIENTATION_ERROR; } } if (fabsf(accel_ema[0] - CONSTANTS_ONE_G) < accel_err_thr && fabsf(accel_ema[1]) < accel_err_thr && fabsf(accel_ema[2]) < accel_err_thr) { return DETECT_ORIENTATION_TAIL_DOWN; // [ g, 0, 0 ] } if (fabsf(accel_ema[0] + CONSTANTS_ONE_G) < accel_err_thr && fabsf(accel_ema[1]) < accel_err_thr && fabsf(accel_ema[2]) < accel_err_thr) { return DETECT_ORIENTATION_NOSE_DOWN; // [ -g, 0, 0 ] } if (fabsf(accel_ema[0]) < accel_err_thr && fabsf(accel_ema[1] - CONSTANTS_ONE_G) < accel_err_thr && fabsf(accel_ema[2]) < accel_err_thr) { return DETECT_ORIENTATION_LEFT; // [ 0, g, 0 ] } if (fabsf(accel_ema[0]) < accel_err_thr && fabsf(accel_ema[1] + CONSTANTS_ONE_G) < accel_err_thr && fabsf(accel_ema[2]) < accel_err_thr) { return DETECT_ORIENTATION_RIGHT; // [ 0, -g, 0 ] } if (fabsf(accel_ema[0]) < accel_err_thr && fabsf(accel_ema[1]) < accel_err_thr && fabsf(accel_ema[2] - CONSTANTS_ONE_G) < accel_err_thr) { return DETECT_ORIENTATION_UPSIDE_DOWN; // [ 0, 0, g ] } if (fabsf(accel_ema[0]) < accel_err_thr && fabsf(accel_ema[1]) < accel_err_thr && fabsf(accel_ema[2] + CONSTANTS_ONE_G) < accel_err_thr) { return DETECT_ORIENTATION_RIGHTSIDE_UP; // [ 0, 0, -g ] } calibration_log_critical(mavlink_log_pub, "ERROR: invalid orientation"); return DETECT_ORIENTATION_ERROR; // Can't detect orientation } const char *detect_orientation_str(enum detect_orientation_return orientation) { static const char *rgOrientationStrs[] = { "back", // tail down "front", // nose down "left", "right", "up", // upside-down "down", // right-side up "error" }; return rgOrientationStrs[orientation]; } calibrate_return calibrate_from_orientation(orb_advert_t *mavlink_log_pub, int cancel_sub, bool side_data_collected[detect_orientation_side_count], calibration_from_orientation_worker_t calibration_worker, void *worker_data, bool lenient_still_position) { calibrate_return result = calibrate_return_ok; // Setup subscriptions to onboard accel sensor int sub_accel = orb_subscribe(ORB_ID(sensor_combined)); if (sub_accel < 0) { calibration_log_critical(mavlink_log_pub, CAL_QGC_FAILED_MSG, "No onboard accel"); return calibrate_return_error; } unsigned orientation_failures = 0; // Rotate through all requested orientation while (true) { if (calibrate_cancel_check(mavlink_log_pub, cancel_sub)) { result = calibrate_return_cancelled; break; } if (orientation_failures > 4) { result = calibrate_return_error; calibration_log_critical(mavlink_log_pub, CAL_QGC_FAILED_MSG, "timeout: no motion"); break; } unsigned int side_complete_count = 0; // Update the number of completed sides for (unsigned i = 0; i < detect_orientation_side_count; i++) { if (side_data_collected[i]) { side_complete_count++; } } if (side_complete_count == detect_orientation_side_count) { // We have completed all sides, move on break; } /* inform user which orientations are still needed */ char pendingStr[80]; pendingStr[0] = 0; for (unsigned int cur_orientation = 0; cur_orientation < detect_orientation_side_count; cur_orientation++) { if (!side_data_collected[cur_orientation]) { strncat(pendingStr, " ", sizeof(pendingStr) - 1); strncat(pendingStr, detect_orientation_str((enum detect_orientation_return)cur_orientation), sizeof(pendingStr) - 1); } } calibration_log_info(mavlink_log_pub, "[cal] pending:%s", pendingStr); usleep(20000); calibration_log_info(mavlink_log_pub, "[cal] hold vehicle still on a pending side"); usleep(20000); enum detect_orientation_return orient = detect_orientation(mavlink_log_pub, cancel_sub, sub_accel, lenient_still_position); if (orient == DETECT_ORIENTATION_ERROR) { orientation_failures++; calibration_log_info(mavlink_log_pub, "[cal] detected motion, hold still..."); usleep(20000); continue; } /* inform user about already handled side */ if (side_data_collected[orient]) { orientation_failures++; set_tune(TONE_NOTIFY_NEGATIVE_TUNE); calibration_log_info(mavlink_log_pub, "[cal] %s side already completed", detect_orientation_str(orient)); usleep(20000); continue; } calibration_log_info(mavlink_log_pub, CAL_QGC_ORIENTATION_DETECTED_MSG, detect_orientation_str(orient)); usleep(20000); calibration_log_info(mavlink_log_pub, CAL_QGC_ORIENTATION_DETECTED_MSG, detect_orientation_str(orient)); usleep(20000); orientation_failures = 0; // Call worker routine result = calibration_worker(orient, cancel_sub, worker_data); if (result != calibrate_return_ok) { break; } calibration_log_info(mavlink_log_pub, CAL_QGC_SIDE_DONE_MSG, detect_orientation_str(orient)); usleep(20000); calibration_log_info(mavlink_log_pub, CAL_QGC_SIDE_DONE_MSG, detect_orientation_str(orient)); usleep(20000); // Note that this side is complete side_data_collected[orient] = true; // output neutral tune set_tune(TONE_NOTIFY_NEUTRAL_TUNE); // temporary priority boost for the white blinking led to come trough rgbled_set_color_and_mode(led_control_s::COLOR_WHITE, led_control_s::MODE_BLINK_FAST, 3, 1); usleep(200000); } if (sub_accel >= 0) { px4_close(sub_accel); } return result; } int calibrate_cancel_subscribe() { return orb_subscribe(ORB_ID(vehicle_command)); } void calibrate_cancel_unsubscribe(int cmd_sub) { orb_unsubscribe(cmd_sub); } static void calibrate_answer_command(orb_advert_t *mavlink_log_pub, struct vehicle_command_s &cmd, unsigned result) { switch (result) { case vehicle_command_s::VEHICLE_CMD_RESULT_ACCEPTED: tune_positive(true); break; case vehicle_command_s::VEHICLE_CMD_RESULT_DENIED: mavlink_log_critical(mavlink_log_pub, "command denied during calibration: %u", cmd.command); tune_negative(true); break; default: break; } } bool calibrate_cancel_check(orb_advert_t *mavlink_log_pub, int cancel_sub) { px4_pollfd_struct_t fds[1]; fds[0].fd = cancel_sub; fds[0].events = POLLIN; if (px4_poll(&fds[0], 1, 0) > 0) { struct vehicle_command_s cmd; orb_copy(ORB_ID(vehicle_command), cancel_sub, &cmd); // ignore internal commands, such as VEHICLE_CMD_DO_MOUNT_CONTROL from vmount if (cmd.from_external) { if (cmd.command == vehicle_command_s::VEHICLE_CMD_PREFLIGHT_CALIBRATION && (int)cmd.param1 == 0 && (int)cmd.param2 == 0 && (int)cmd.param3 == 0 && (int)cmd.param4 == 0 && (int)cmd.param5 == 0 && (int)cmd.param6 == 0) { calibrate_answer_command(mavlink_log_pub, cmd, vehicle_command_s::VEHICLE_CMD_RESULT_ACCEPTED); mavlink_log_critical(mavlink_log_pub, CAL_QGC_CANCELLED_MSG); return true; } else { calibrate_answer_command(mavlink_log_pub, cmd, vehicle_command_s::VEHICLE_CMD_RESULT_DENIED); } } } return false; }