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px4-firmware/Tools/ecl_ekf/check_table.csv

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refactor ecl ekf analysis (#11412) * refactor ekf analysis part 1: move plotting to functions * add plot_check_flags plot function * put plots in seperate file * use object-oriented programming for plotting * move functions for post processing and pdf report creation to new files * add in_air_detector and description as a csv file * refactor metrics and checks into separate functions * refactor metrics into seperate file, seperate plotting * ecl-ekf tools: re-structure folder and move results table generation * ecl-ekf-tool: fix imports and test_results_table * ecl-ekf tools: bugfix output observer tracking error plot * ecl-ekf-tools: update batch processing to new api, fix exception handling * ecl-ekf-tools: use correct in_air_detector * ecl-ekf-tools: rename csv file containing the bare test results table * ecl-tools: refactor for improving readability * ecl-ekf tools: small plotting bugfixes * ecl-ekf tools: small bugfixes in_air time, on_ground_trans, filenames * ecl-ekf-tools: fix amber metric bug * ecl-ekf-tools: remove custom function in inairdetector * ecl-ekf-tools: remove import of pandas * ecl-ekf-tools: add python interpreter to the script start * ecl-ekf-tools pdf_report: fix python interpreter line * px4-dev-ros-kinetic: update container tag to 2019-02-13 * ecl-ekf-tools python interpreter line: call python3 bin directly * ecl-ekf-tools: change airtime from namedtuple to class for python 3.5 * ecl-ekf-tools: update docker image px4-dev-ros-kinetic * ecl-ekf-tools: fix memory leak by correctly closing matplotlib figures
2019-02-18 11:52:02 -04:00
check_id,check_description
master_status, Master check status which can be either Pass Warning or Fail. A Fail result indicates a significant error that caused a significant reduction in vehicle navigation performance was detected. A Warning result indicates that error levels higher than normal were detected but these errors did not significantly impact navigation performance. A Pass result indicates that no amonalies were detected and no further investigation is required
mag_sensor_status, Magnetometer sensor check summary. A Fail result indicates a significant error that caused a significant reduction in vehicle navigation performance was detected. A Warning result indicates that error levels higher than normal were detected but these errors did not significantly impact navigation performance. A Pass result indicates that no amonalies were detected and no further investigation is required
yaw_sensor_status, Yaw sensor check summary. This sensor data can be sourced from the magnetometer or an external vision system. A Fail result indicates a significant error that caused a significant reduction in vehicle navigation performance was detected. A Warning result indicates that error levels higher than normal were detected but these errors did not significantly impact navigation performance. A Pass result indicates that no amonalies were detected and no further investigation is required
vel_sensor_status, Velocity sensor check summary. A Fail result indicates a significant error that caused a significant reduction in vehicle navigation performance was detected. A Warning result indicates that error levels higher than normal were detected but these errors did not significantly impact navigation performance. A Pass result indicates that no amonalies were detected and no further investigation is required
pos_sensor_status, Position sensor check summary. A Fail result indicates a significant error that caused a significant reduction in vehicle navigation performance was detected. A Warning result indicates that error levels higher than normal were detected but these errors did not significantly impact navigation performance. A Pass result indicates that no amonalies were detected and no further investigation is required
hgt_sensor_status, Height sensor check summary. This sensor data can be sourced from either Baro or GPS or range finder or external vision system. A Fail result indicates a significant error that caused a significant reduction in vehicle navigation performance was detected. A Warning result indicates that error levels higher than normal were detected but these errors did not significantly impact navigation performance. A Pass result indicates that no anomalies were detected and no further investigation is required
hagl_sensor_status, Height above ground sensor check summary. This sensor data is normally sourced from a rangefinder sensor. A Fail result indicates a significant error that caused a significant reduction in vehicle navigation performance was detected. A Warning result indicates that error levels higher than normal were detected but these errors did not significantly impact navigation performance. A Pass result indicates that no amonalies were detected and no further investigation is required
tas_sensor_status, Airspeed sensor check summary. A Fail result indicates a significant error that caused a significant reduction in vehicle navigation performance was detected. A Warning result indicates that error levels higher than normal were detected but these errors did not significantly impact navigation performance. A Pass result indicates that no amonalies were detected and no further investigation is required
imu_sensor_status, IMU sensor check summary. A Fail result indicates a significant error that caused a significant reduction in vehicle navigation performance was detected. A Warning result indicates that error levels higher than normal were detected but these errors did not significantly impact navigation performance. A Pass result indicates that no amonalies were detected and no further investigation is required
imu_vibration_check, IMU vibration check summary. A Fail result indicates a significant error that caused a significant reduction in vehicle navigation performance was detected. A Warning result indicates that error levels higher than normal were detected but these errors did not significantly impact navigation performance. A Pass result indicates that no amonalies were detected and no further investigation is required
imu_bias_check, IMU bias check summary. A Fail result indicates a significant error that caused a significant reduction in vehicle navigation performance was detected. A Warning result indicates that error levels higher than normal were detected but these errors did not significantly impact navigation performance. A Pass result indicates that no amonalies were detected and no further investigation is required
imu_output_predictor_check, IMU output predictor check summary. A Fail result indicates a significant error that caused a significant reduction in vehicle navigation performance was detected. A Warning result indicates that error levels higher than normal were detected but these errors did not significantly impact navigation performance. A Pass result indicates that no amonalies were detected and no further investigation is required
flow_sensor_status, Optical Flow sensor check summary. A Fail result indicates a significant error that caused a significant reduction in vehicle navigation performance was detected. A Warning result indicates that error levels higher than normal were detected but these errors did not significantly impact navigation performance. A Pass result indicates that no amonalies were detected and no further investigation is required
filter_fault_status, Internal Filter check summary. A Fail result indicates a significant error that caused a significant reduction in vehicle navigation performance was detected. A Warning result indicates that error levels higher than normal were detected but these errors did not significantly impact navigation performance. A Pass result indicates that no amonalies were detected and no further investigation is required
mag_percentage_red, The percentage of in-flight consolidated magnetic field sensor innovation consistency test values > 1.0.
mag_percentage_amber, The percentage of in-flight consolidated magnetic field sensor innovation consistency test values > 0.5.
magx_fail_percentage, The percentage of in-flight recorded failure events for the X-axis magnetic field sensor innovation consistency test.
magy_fail_percentage, The percentage of in-flight recorded failure events for the Y-axis magnetic field sensor innovation consistency test.
magz_fail_percentage, The percentage of in-flight recorded failure events for the Z-axis magnetic field sensor innovation consistency test.
yaw_fail_percentage, The percentage of in-flight recorded failure events for the yaw sensor innovation consistency test.
mag_test_max, The maximum in-flight value of the magnetic field sensor innovation consistency test ratio.
mag_test_mean, The mean in-flight value of the magnetic field sensor innovation consistency test ratio.
vel_percentage_red, The percentage of in-flight velocity sensor consolidated innovation consistency test values > 1.0.
vel_percentage_amber, The percentage of in-flight velocity sensor consolidated innovation consistency test values > 0.5.
vel_fail_percentage, The percentage of in-flight recorded failure events for the velocity sensor consolidated innovation consistency test.
vel_test_max, The maximum in-flight value of the velocity sensor consolidated innovation consistency test ratio.
vel_test_mean, The mean in-flight value of the velocity sensor consolidated innovation consistency test ratio.
pos_percentage_red, The percentage of in-flight position sensor consolidated innovation consistency test values > 1.0.
pos_percentage_amber, The percentage of in-flight position sensor consolidated innovation consistency test values > 0.5.
pos_fail_percentage, The percentage of in-flight recorded failure events for the velocity sensor consolidated innovation consistency test.
pos_test_max, The maximum in-flight value of the position sensor consolidated innovation consistency test ratio.
pos_test_mean, The mean in-flight value of the position sensor consolidated innovation consistency test ratio.
hgt_percentage_red, The percentage of in-flight height sensor innovation consistency test values > 1.0.
hgt_percentage_amber, The percentage of in-flight height sensor innovation consistency test values > 0.5.
hgt_fail_percentage, The percentage of in-flight recorded failure events for the height sensor innovation consistency test.
hgt_test_max, The maximum in-flight value of the height sensor innovation consistency test ratio.
hgt_test_mean, The mean in-flight value of the height sensor innovation consistency test ratio.
tas_percentage_red, The percentage of in-flight airspeed sensor innovation consistency test values > 1.0.
tas_percentage_amber, The percentage of in-flight airspeed sensor innovation consistency test values > 0.5.
tas_fail_percentage, The percentage of in-flight recorded failure events for the airspeed sensor innovation consistency test.
tas_test_max, The maximum in-flight value of the airspeed sensor innovation consistency test ratio.
tas_test_mean, The mean in-flight value of the airspeed sensor innovation consistency test ratio.
hagl_percentage_red, The percentage of in-flight height above ground sensor innovation consistency test values > 1.0.
hagl_percentage_amber, The percentage of in-flight height above ground sensor innovation consistency test values > 0.5.
hagl_fail_percentage, The percentage of in-flight recorded failure events for the height above ground sensor innovation consistency test.
hagl_test_max, The maximum in-flight value of the height above ground sensor innovation consistency test ratio.
hagl_test_mean, The mean in-flight value of the height above ground sensor innovation consistency test ratio.
ofx_fail_percentage, The percentage of in-flight recorded failure events for the optical flow sensor X-axis innovation consistency test.
ofy_fail_percentage, The percentage of in-flight recorded failure events for the optical flow sensor Y-axis innovation consistency test.
filter_faults_max, Largest recorded value of the filter internal fault bitmask. Should always be zero.
Tools/ecl_ekf: fix vibe_metrics usage (moved to vehicle_imu_status instances)
2022-04-12 14:44:08 -03:00
imu_coning_peak, Peak in-flight value of the IMU delta angle coning vibration metric (rad^2)
imu_coning_mean, Mean in-flight value of the IMU delta angle coning vibration metric (rad^2)
imu_hfgyro_peak, Peak in-flight value of the IMU accel high frequency vibration metric (rad/s)
imu_hfgyro_mean, Mean in-flight value of the IMU accel high frequency vibration metric (rad/s)
imu_hfaccel_peak, Peak in-flight value of the IMU accel high frequency vibration metric (m/s/s)
imu_hfaccel_mean, Mean in-flight value of the IMU accel high frequency vibration metric (m/s/s)
refactor ecl ekf analysis (#11412) * refactor ekf analysis part 1: move plotting to functions * add plot_check_flags plot function * put plots in seperate file * use object-oriented programming for plotting * move functions for post processing and pdf report creation to new files * add in_air_detector and description as a csv file * refactor metrics and checks into separate functions * refactor metrics into seperate file, seperate plotting * ecl-ekf tools: re-structure folder and move results table generation * ecl-ekf-tool: fix imports and test_results_table * ecl-ekf tools: bugfix output observer tracking error plot * ecl-ekf-tools: update batch processing to new api, fix exception handling * ecl-ekf-tools: use correct in_air_detector * ecl-ekf-tools: rename csv file containing the bare test results table * ecl-tools: refactor for improving readability * ecl-ekf tools: small plotting bugfixes * ecl-ekf tools: small bugfixes in_air time, on_ground_trans, filenames * ecl-ekf-tools: fix amber metric bug * ecl-ekf-tools: remove custom function in inairdetector * ecl-ekf-tools: remove import of pandas * ecl-ekf-tools: add python interpreter to the script start * ecl-ekf-tools pdf_report: fix python interpreter line * px4-dev-ros-kinetic: update container tag to 2019-02-13 * ecl-ekf-tools python interpreter line: call python3 bin directly * ecl-ekf-tools: change airtime from namedtuple to class for python 3.5 * ecl-ekf-tools: update docker image px4-dev-ros-kinetic * ecl-ekf-tools: fix memory leak by correctly closing matplotlib figures
2019-02-18 11:52:02 -04:00
output_obs_ang_err_median, Median in-flight value of the output observer angular error (rad)
output_obs_vel_err_median, Median in-flight value of the output observer velocity error (m/s)
output_obs_pos_err_median, Median in-flight value of the output observer position error (m)
imu_dang_bias_median, Median in-flight value of the delta angle bias vector length (rad)
imu_dvel_bias_median, Median in-flight value of the delta velocity bias vector length (m/s)
tilt_align_time, The time in seconds measured from startup that the EKF completed the tilt alignment. A nan value indicates that the alignment had completed before logging started or alignment did not complete.
yaw_align_time, The time in seconds measured from startup that the EKF completed the yaw alignment.
in_air_transition_time, The time in seconds measured from startup that the EKF transtioned into in-air mode. Set to a nan if a transition event is not detected.
on_ground_transition_time, The time in seconds measured from startup that the EKF transitioned out of in-air mode. Set to a nan if a transition event is not detected.