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https://gitee.com/mirrors_PX4/PX4-Autopilot.git
synced 2026-10-27 00:03:33 +08:00
updated to master (solved merge conflicts)
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@@ -32,7 +32,7 @@
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############################################################################
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set(MODULE_CFLAGS )
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if(NOT ${OS} STREQUAL "qurt")
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if(${OS} STREQUAL "nuttx")
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list(APPEND MODULE_CFLAGS -Wframe-larger-than=3400)
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endif()
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@@ -1194,7 +1194,7 @@ int AttitudePositionEstimatorEKF::start()
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_estimator_task = px4_task_spawn_cmd("ekf_att_pos_estimator",
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SCHED_DEFAULT,
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SCHED_PRIORITY_MAX - 20,
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3900,
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4600,
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(px4_main_t)&AttitudePositionEstimatorEKF::task_main_trampoline,
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nullptr);
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@@ -1317,9 +1317,9 @@ void AttitudePositionEstimatorEKF::pollData()
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_ekf->dAngIMU.y = _sensor_combined.gyro_integral_rad[_gyro_main * 3 + 1];
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_ekf->dAngIMU.z = _sensor_combined.gyro_integral_rad[_gyro_main * 3 + 2];
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} else {
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_ekf->dAngIMU.x = 0.5f * (_ekf->angRate.x + _sensor_combined.gyro_rad_s[_gyro_main * 3 + 0]);
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_ekf->dAngIMU.y = 0.5f * (_ekf->angRate.y + _sensor_combined.gyro_rad_s[_gyro_main * 3 + 1]);
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_ekf->dAngIMU.z = 0.5f * (_ekf->angRate.z + _sensor_combined.gyro_rad_s[_gyro_main * 3 + 2]);
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_ekf->dAngIMU.x = 0.5f * (_ekf->angRate.x + _sensor_combined.gyro_rad_s[_gyro_main * 3 + 0]) * _ekf->dtIMU;
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_ekf->dAngIMU.y = 0.5f * (_ekf->angRate.y + _sensor_combined.gyro_rad_s[_gyro_main * 3 + 1]) * _ekf->dtIMU;
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_ekf->dAngIMU.z = 0.5f * (_ekf->angRate.z + _sensor_combined.gyro_rad_s[_gyro_main * 3 + 2]) * _ekf->dtIMU;
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}
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_ekf->angRate.x = _sensor_combined.gyro_rad_s[_gyro_main * 3 + 0];
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@@ -1337,9 +1337,9 @@ void AttitudePositionEstimatorEKF::pollData()
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_ekf->dVelIMU.y = _sensor_combined.accelerometer_integral_m_s[_accel_main * 3 + 1];
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_ekf->dVelIMU.z = _sensor_combined.accelerometer_integral_m_s[_accel_main * 3 + 2];
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} else {
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_ekf->dVelIMU.x = 0.5f * (_ekf->accel.x + _sensor_combined.accelerometer_m_s2[_accel_main * 3 + 0]);
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_ekf->dVelIMU.y = 0.5f * (_ekf->accel.y + _sensor_combined.accelerometer_m_s2[_accel_main * 3 + 1]);
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_ekf->dVelIMU.z = 0.5f * (_ekf->accel.z + _sensor_combined.accelerometer_m_s2[_accel_main * 3 + 2]);
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_ekf->dVelIMU.x = 0.5f * (_ekf->accel.x + _sensor_combined.accelerometer_m_s2[_accel_main * 3 + 0]) * _ekf->dtIMU;
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_ekf->dVelIMU.y = 0.5f * (_ekf->accel.y + _sensor_combined.accelerometer_m_s2[_accel_main * 3 + 1]) * _ekf->dtIMU;
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_ekf->dVelIMU.z = 0.5f * (_ekf->accel.z + _sensor_combined.accelerometer_m_s2[_accel_main * 3 + 2]) * _ekf->dtIMU;
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}
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_ekf->accel.x = _sensor_combined.accelerometer_m_s2[_accel_main * 3 + 0];
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@@ -43,7 +43,6 @@
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#include <stdio.h>
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#include <stdarg.h>
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#include <cmath>
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#include <algorithm>
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#ifndef M_PI_F
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#define M_PI_F static_cast<float>(M_PI)
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@@ -1853,7 +1852,7 @@ void AttPosEKF::FuseOptFlow()
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Vector3f relVelSensor;
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// Perform sequential fusion of optical flow measurements only with valid tilt and height
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flowStates[1] = std::max(flowStates[1], statesAtFlowTime[9] + minFlowRng);
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flowStates[1] = fmax(flowStates[1], statesAtFlowTime[9] + minFlowRng);
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float heightAboveGndEst = flowStates[1] - statesAtFlowTime[9];
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bool validTilt = Tnb.z.z > 0.71f;
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if (validTilt)
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@@ -2113,7 +2112,7 @@ void AttPosEKF::OpticalFlowEKF()
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} else {
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return;
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}
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distanceTravelledSq = std::min(distanceTravelledSq, 100.0f);
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distanceTravelledSq = fmin(distanceTravelledSq, 100.0f);
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Popt[1][1] += (distanceTravelledSq * sq(gndHgtSigma));
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}
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@@ -2153,7 +2152,7 @@ void AttPosEKF::OpticalFlowEKF()
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varInnovRng = 1.0f/SK_RNG[1];
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// constrain terrain height to be below the vehicle
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flowStates[1] = std::max(flowStates[1], statesAtRngTime[9] + minFlowRng);
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flowStates[1] = fmax(flowStates[1], statesAtRngTime[9] + minFlowRng);
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// estimate range to centre of image
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range = (flowStates[1] - statesAtRngTime[9]) * SK_RNG[2];
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@@ -2173,7 +2172,7 @@ void AttPosEKF::OpticalFlowEKF()
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}
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// constrain the states
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flowStates[0] = ConstrainFloat(flowStates[0], 0.1f, 10.0f);
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flowStates[1] = std::max(flowStates[1], statesAtRngTime[9] + minFlowRng);
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flowStates[1] = fmax(flowStates[1], statesAtRngTime[9] + minFlowRng);
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// correct the covariance matrix
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float nextPopt[2][2];
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@@ -2182,8 +2181,8 @@ void AttPosEKF::OpticalFlowEKF()
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nextPopt[1][0] = -Popt[1][0]*((Popt[1][1]*SK_RNG[1]*SK_RNG[2]) * SK_RNG[2] - 1.0f);
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nextPopt[1][1] = -Popt[1][1]*((Popt[1][1]*SK_RNG[1]*SK_RNG[2]) * SK_RNG[2] - 1.0f);
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// prevent the state variances from becoming negative and maintain symmetry
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Popt[0][0] = std::max(nextPopt[0][0],0.0f);
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Popt[1][1] = std::max(nextPopt[1][1],0.0f);
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Popt[0][0] = fmax(nextPopt[0][0],0.0f);
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Popt[1][1] = fmax(nextPopt[1][1],0.0f);
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Popt[0][1] = 0.5f * (nextPopt[0][1] + nextPopt[1][0]);
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Popt[1][0] = Popt[0][1];
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}
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@@ -2222,7 +2221,7 @@ void AttPosEKF::OpticalFlowEKF()
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vel.z = statesAtFlowTime[6];
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// constrain terrain height to be below the vehicle
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flowStates[1] = std::max(flowStates[1], statesAtFlowTime[9] + minFlowRng);
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flowStates[1] = fmax(flowStates[1], statesAtFlowTime[9] + minFlowRng);
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// estimate range to centre of image
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range = (flowStates[1] - statesAtFlowTime[9]) / Tnb_flow.z.z;
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@@ -2290,7 +2289,7 @@ void AttPosEKF::OpticalFlowEKF()
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}
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// constrain the states
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flowStates[0] = ConstrainFloat(flowStates[0], 0.1f, 10.0f);
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flowStates[1] = std::max(flowStates[1], statesAtFlowTime[9] + minFlowRng);
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flowStates[1] = fmax(flowStates[1], statesAtFlowTime[9] + minFlowRng);
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// correct the covariance matrix
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for (uint8_t i = 0; i < 2 ; i++) {
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@@ -2306,8 +2305,8 @@ void AttPosEKF::OpticalFlowEKF()
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}
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// prevent the state variances from becoming negative and maintain symmetry
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Popt[0][0] = std::max(nextPopt[0][0],0.0f);
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Popt[1][1] = std::max(nextPopt[1][1],0.0f);
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Popt[0][0] = fmax(nextPopt[0][0],0.0f);
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Popt[1][1] = fmax(nextPopt[1][1],0.0f);
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Popt[0][1] = 0.5f * (nextPopt[0][1] + nextPopt[1][0]);
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Popt[1][0] = Popt[0][1];
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}
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