- respect new EKF2_EV_CTRL parameter for VPOS usage
- EV hgt rotate EV position before usage (there's often a small offset in frames)
- EV hgt reset use proper EV velocity body frame
- try to keep EV hgt and EV vel state machines consistent
- small incremental piece of https://github.com/PX4/PX4-Autopilot/pull/19128
- don't store unnecessary IMU copy in class, pass it through where required
- remove custom pi constants
- remove unused fields from ahrs_ekf_gsf (vel_NE, fuse_gps, accel_dt)
- explicitly initialize everything in header
- apply PX4 code style
- set GPS velocity before yaw estimator update, not after
- new ROS2 platform in PX4 intended for creating configs that build and run entirely in ROS2
- PX4_CONFIG defaults to px4_ros2_default if no config specified and in a colcon workspace with ROS_VERSION=2
- currently doesn't do much other than allow you to build px4 msgs interface package
- WelfordMeanVector now computes covariance
- use Kahan summation for Welford mean (but continue using float32 for actual mean, etc)
- WelfordMean and WelfordMeanVector handle initial value and count roll over
- Welford mean count rollover at 16 bit max to prevent numerical issues and shift weight to newer samples
- sensors/vehicle_imu: update Welford mean usage (now simplified with resets removed)
- fix vehicle_imu_status accel var, now properly rotated with full covariance matrix
- gyro_calibration: update Welford mean usage
- in a lot of cases this won't really matter, although you can see it in logs (especially with things like vehicle_at_rest), but it's something we might as well do properly
Co-authored-by: Mathieu Bresciani <brescianimathieu@gmail.com>
- vehicle_angular_velocity and vehicle_angular_acceleration are produced together from the same input data, consumed together, and share the the same metadata (timestamps)
- individually these topics each have 16 bytes of metadata (2 timestamps) for 12 bytes of data (x,y,z float32)
- with Ekf::initialiseFilter() resetting _time_last_hagl_fuse the terrain estimate was technically valid regardless of any range or flow data availability and as a result optical flow fusion is able to start and stay active
- only consider terrain estimate valid based on control status flags and recent fusion
- buffer at least 2 samples for the IMU output predictor buffers
- dropping below 2 becomes problematic for the minimum observation
interval calculation and the vertical output buffer trapezoidal
integration
- preflight mag bias estimate is in the vehicle body frame and removed from the raw mag data after it's rotated, calibrated, etc
- in flight mag bias (from ekf2) is in the vehicle body frame, but stored as a sensor frame offset immediately
- vehicle_angular_velocity: ESC RPM notch filters minimize filter resets
- only allow one filter init per axis per cycle
- "park" ESC notch filters at min frequency instead of full disable
- relax timeout before a notch filter is disabled
- add new parameter IMU_GYRO_DNF_MIN for configuring the minimum notch filter frequency
- avoid the possibility of unsigned underflow from subtracting two HRT timestamps (uint64_t)
- most of these aren't problematic, but people tend to replicate the pattern, so it's better to be safe
- likely wasn't a problem when people were using hrt_absolute_time() in place, but if using an existing timestamp there's the possibility it's older than a more recent topic update
- update all msgs to be directly compatible with ROS2
- microdds_client improvements
- timesync
- reduced code size
- add to most default builds if we can afford it
- lots of other little changes
- purge fastrtps (I tried to save this multiple times, but kept hitting roadblocks)
- working towards keeping all height source (baro/ev/gnss/rng) handling as consistent as possible, possibly refactoring these out into separate classes later
- this is a precaution to eliminate the possibility of getting stuck in
a loop trying to keep up with a high rate publication that could be
coming from a higher priority task
- in the worst case scenario printing the error message can take longer than the next gyro publication, so combined with an infinite loop you could get stuck here
- trajectory_setpoint and vehicle_local_position_setpoint used to be
the same data type
- we got extremely lucky here that this didn't cause any issues due to
all the fields still aligning
- vehicle_imu_status can publish immediately on any measured sample
rate change or sensor error increment, but the windowed mean/variance
shouldn't necessarily reset that often
- for accel/gyro/mag estimated bias only consider them stable (valid
for calibration updates) if the value isn't changing (10% of limit) over
the validity period
- for convenience merge px4_sitl_ign into px4_sitl_default, but allow simulator_ignition_bridge to quietly skip inclusion if ignition-transport isn't available
- simulator_ignition_bridge only try setting the system clock in
lockstep builds
- this simplifies usage and CI system dependencies
Daniel Agar