- all sources of optical flow publish sensor_optical_flow
- sensor_optical_flow is aggregated by the sensors module, aligned with integrated gyro, and published as vehicle_optical_flow
Co-authored-by: alexklimaj <alex@arkelectron.com>
The noise spectral density, NSD, (square root of power spectral density) is a
continuous-time parameter that makes the tuning independent from the EKF
prediction rate.
NSD corresponds to the rate at which the state uncertainty increases
when no measurements are fused into the filter.
Given that the current prediction rate of EKF2 is 100Hz, the
same tuning is obtained by dividing the std_dev legacy parameter by 10:
nsd = sqrt(std_dev^2 / 100Hz)
- sensor_baro.msg use SI (pressure in Pascals)
- update all barometer drivers to publish directly and remove PX4Barometer helper
- introduce baro cal (offset) mainly as a mechanism to adjust
relative priority
- commander: add simple baro cal that sets baro offsets to align with
GPS altitude (if available)
- create new sensors_status.msg to generalize sensor reporting
- this is a more conservative default if a vehicle isn't set (no land detector running)
- handled horizontal preflight failures in commander when disarmed
rather than overloading xy_valid and v_xy_valid flags
- ekf2 no longer depend on arming or standby status
- ekf2: expose dead reckoning as control status flags
- commander:
- add GPS validity check
- in AUTO MISSION if dependent on GPS then a loss of GPS will
- move vehicle at reset detection ekf2 -> land_detector
- ekf_unit: reduce init period
- Fake fusion is when at rest is quite strong and makes the variance reduce rapidly. Reduce the amount of time we wait before checking if the variances are still large enough.
- ekf_unit: reduce minimum vel/pos variance required after init
- Fake pos fusion has a low observation noise, making the vel/pos variances reduce quickly.
Co-authored-by:: bresch <brescianimathieu@gmail.com>
- introduces new parameter EKF2_PREDICT_US to configure the filter
update period in microseconds
- actual filter update period will be an integer multiple of IMU
The imu and sensor_combined data should not be used when it has not been
updated yet, otherwise this triggers a memory sanitizer warning:
Conditional jump or move depends on uninitialised value(s)
at 0x2DA7AA: __sanitizer_cov_trace_const_cmp1 (in build/px4_sitl_default-clang/bin/px4)
by 0x3C4E79: EKF2::Run() (src/modules/ekf2/EKF2.cpp:401)
by 0x6EB881: px4::WorkQueue::Run() (platforms/common/px4_work_queue/WorkQueue.cpp:187)
by 0x6ECB9D: px4::WorkQueueRunner(void*) (platforms/common/px4_work_queue/WorkQueueManager.cpp:230)
by 0x4C07258: start_thread (in /usr/lib/libpthread-2.33.so)
by 0x4D415E2: clone (in /usr/lib/libc-2.33.so)
Conditional jump or move depends on uninitialised value(s)
at 0x3C4E7C: EKF2::Run() (src/modules/ekf2/EKF2.cpp:401)
by 0x6EB881: px4::WorkQueue::Run() (platforms/common/px4_work_queue/WorkQueue.cpp:187)
by 0x6ECB9D: px4::WorkQueueRunner(void*) (platforms/common/px4_work_queue/WorkQueueManager.cpp:230)
by 0x4C07258: start_thread (in /usr/lib/libpthread-2.33.so)
by 0x4D415E2: clone (in /usr/lib/libc-2.33.so)
The current practice of adding topics to the default set isn't scalable,
as it affects all setups.
By making sure topics are advertised on init, logger can just discard
topics that don't exist. This does not work for all topics, so topics are
specifically marked as optional. It can be extended to more topics later
on though.
This reduces the list of topics by ~35 on a pixracer configured as quad,
and reduces RAM usage by ~1KB.
* ekf2: make publishing of learned accel biases more robust
* ekf2: reset accel bias if calibration updated
* msg: add separate accel and gyro calibration counters
* ekf2: use separate accel and gyro calibration counters
* ekf2: rework logic to reset biases when calibration counters increment
* sensors: add saving of learned accel biases
* ekf2: generalized saving accel/gyro/mag in flight sensor calibration
* boards: holybro kakutef7 disable systemcmds/perf and systemcmds/top to save flash
Co-authored-by: Paul Riseborough <gncsolns@gmail.com>
Daniel Agar