* Add tflm to px4 with module
- Add TensorFlow Lite Micro(TFLM) as a library in px4
- Make a module that uses neural network inference for control, which uses TFLM for inference
- Make board config files for PX4 with neural module
* Added neural flight mode
* Add posibility to read of inference times
* Fix comments from review:
- Switch ssh link to https link in submodule
- Remove mc_nn_control from startup
* Add tflm to px4 with module
- Add TensorFlow Lite Micro(TFLM) as a library in px4
- Make a module that uses neural network inference for control, which uses TFLM for inference
- Make board config files for PX4 with neural module
* Added neural flight mode
* Add posibility to read of inference times
* Remove auto start
* Add logging from neural control module
* Fix automatic startup to only be when module is included
* Switch to flight mode registration
* Add docs
* Change min/max/coeff to actual parameters
* add figures to neural network docs
* Switch to e2e network
* Remove toolchain changes and replace with instructions in docs
* Get ready for merge after toolchain upgrade
* switch back to submodule
* Try to figure out cmake
* Get CI working with new toolchain
* Remove fork dependency
* Finalize PR
* fix toolchain inclusion
* Fix ctype_base.h include
* Cleanup includes for TFLM
* Remove redundant std
* Update FW module names in board files
* Fix docs
* Remove cstdlib copy
* Copy header from nuttx
* Prettier, markup, layout
* NeuralControl.msg - update uorb comments to current standard
* Add description to neural topic
* Fix typo
* Typo
* TFLM and Module utitlities
* Neural networks top level
* Update docs
* Add manual control
* Update docs
* Revert the manual control attempt
* Update docs/en/advanced/nn_module_utilities.md
* Add posibility to set trajectory setpoint with manual control
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Co-authored-by: Pedro Roque <padr@kth.se>
Co-authored-by: Hamish Willee <hamishwillee@gmail.com>
Co-authored-by: Ramon Roche <mrpollo@gmail.com>
- ekf2 can now run in multi-instance mode (currently up to 9 instances)
- in multi mode all estimates are published to alternate topics (eg estimator_attitude instead of vehicle_attitude)
- new ekf2 selector runs in multi-instance mode to monitor and compare all instances, selecting a primary (eg N x estimator_attitude => vehicle_attitude)
- sensors module accel & gyro inconsistency checks are now relative to the mean of all instances, rather than the current primary (when active ekf2 selector is responsible for choosing primary accel & gyro)
- existing consumers of estimator_status must check estimator_selector_status to select current primary instance status
- ekf2 single instance mode is still fully supported and the default
Co-authored-by: Paul Riseborough <gncsolns@gmail.com>
* MC_HTE: unitialize with hover_thrust parameter
* MC_HTE: constrain hover thrust setter between 0.1 and 0.9
* MC_HTE: integrate with land detector and velocity controller
* MCHoverThrustEstimator: Always publish an estimate even when not fusing measurements. This is required as the land detector and the position controller need to receive a hover thrust value.
* MC_HTE: use altitude agl threshold to start the estimator
local_position.z is relative to the origin of the EKF while dist_bottom
is above ground
Co-authored-by: bresch <brescianimathieu@gmail.com>
Sindre Meyer Hegre