* refactor: move lateral methods from init to lateral.py (#2594)
* Extracting lateral methods to lateral.py
* cleaning
* more cleaning
* more cleaning
* Making sure it remains where it should
* Leave rate_limit where it belongs
* Moving things to `car/controls/`
* Moving rate limit to get a taste of the changes
* clean
* copy verbatim
* clean up
* more
* now we can format
---------
Co-authored-by: Shane Smiskol <shane@smiskol.com>
* No need to change order of import
* refactor: consolidate ACCELERATION_DUE_TO_GRAVITY import path
* bump opendbc
* update refs
* don't import from opendbc
---------
Co-authored-by: Shane Smiskol <shane@smiskol.com>
Co-authored-by: Adeeb Shihadeh <adeebshihadeh@gmail.com>
* Add calPerc field and torque progress
* Fix torqued test style and CarParams usage
* test: remove unused numpy import
* move here
* trying all combinations to see what's most linear
* clean up with best method
* no no
* epic
* clean up
* last min not needed
* doesn't hurt
* list comp
* disable in release
* pass
* one liner
* saves 1s so far
* clean up
* fix
* Revert "one liner"
This reverts commit 5f419b5692565fc7ddc2abe9a40112fdc47ffe9e.
Revert "pass"
This reverts commit 47d260e76a9cb1310b95ea1ff83ab7f8808be96d.
Revert "disable in release"
This reverts commit 1782718b61891d87cbb9daa1c4c65314f505cee4.
* clean up
* there's more
* no mocker!
* Mechanism to handle ambiguous estimates
* Use it
* Fix static
* Fix
* Comment
* Comment v2
* Use quantile instead
* Fix
* Make it better
* Make it confidence
* Make it a constant
* min_confidence as arg
* Make the test signal more like the real one
* Relax sample requirements
* Use constant
* Reduce confidence
* Use in modeld
* Use in torqued
* Do not use default value in torqued
* Add liveDelay in process replay
* update ref
---------
Co-authored-by: Bruce Wayne <harald.the.engineer@gmail.com>
* Online lateral lag learning (#34974)
This reverts commit b4cc9e68d1.
* pad to the best size for fft
* Fix static analysis
* Add typing
* Fix typing
* MAX_LAG
* Calculate cross correlation regardless if the points are valid
* Back to lagd
* Add lagd to process_config
* Lagd in test onroad
* Move lag estimator for lagd
* Remove duplicate entry from test_onroad
* Update process replay
* pre-fill the data
* Update cpu usage
* 25sec window
* Change the meaning of lateralDelayEstimate
* No newline
* Fix typing
* Prefill
* Update ref commit
* Add a unit test
* Fix static issues
* Time limit
* Or timeout
* Use mocker
* Update estimate every time
* empty test
* DT const
* enable RIVIAN again
* Update ref commit
* Update that again
* Improve the tests
* Fix static
* Add masking test
* Increase timeout
* Add liveDelay to selfdrived
* Add liveDelay to selfdrived in process_replay
* Fix block_avg restore after num_blocks
* regen most
* Update bolt
* Update ref commit
* Change the key name
* Add assert
* True weighted average
* LiveParametersV2 key
* Param key
* Fix tests
* Remove old params if error
* Update exception message
* Update the test
* Add test for corrupted byte format in v1
* Rename params_reader => params
* Add struct and services
* Proof of concept
* Use vego
* Process replay support
* Fix issues
* Max not min
* Remove print
* Make lag positive
* Points and updates
* Sliding cross corr
* Stuff
* Remove redundant param
* Move to lagd
* Update alert
* Something that works
* Report isEstimated
* Corr field
* Use skimage masked corr
* Fixes
* Move to lat_accel_loc
* Use the delay it in the model
* Mark as executable
* Add 0.2 to initial
* add install line
* Back to 5m window
* Move the import up
* corr window 120
* Show is estimated
* Sort messages
* New impl
* Fix
* Params
* Set initial_lag elsewhere
* Add param
* Rename Param
* Fix type isues
* More blocks
* Masked fft NCC implementation
* Remove package installation
* Use 20hz data and interp the correlation peak
* Move ncc code to separate function
* steering_saturated support
* Constants
* Add recovery buffer
* Fix static
* min_valid_block_count nad liveDelay
* lateralDelayEstimate
* Fix comm issues. Do estimations at 4hz
* Fix
* Display the estimate
* Increase the block size
* Cache every minute
* DEBUG flag
* Add progress to the alert
* Fix crash
* points only in debug
* Fix BlockAverage restoration
* Comment
* Move estimators into estimator directory
* Remove lagd
* Feed only relevant messages
* Rewrite as a set literal
* np.diag with P_initial
* Fix static
* Struct renames
* Update ref commit
* Make it nicer
* Some renames
* Refactor ParamsLearner
* Make it VehicleParamsLearner
* Fix
* Use capnp serialization instead of json
* Fix speed
* Remove redundant comments
* Monitor observed_roll
* Just use init_state
* Comment
* Improve reset
* Set globals api
* Typing for return value
* Redo reset messaging
* Remove usages of math
* Fix process_replay custom_params
* Type ignores for rednose fields
* Remove import
* Reset previous values too
* Update ref_commit
* Revert it
* Bring it back
* Remove more
* Add migration for cached params
* Use uncalibrated values
* Use calib_valid
* Move valids together
* Add calibration valid field
* Add migration block for new field
* No paramsdTemporaryError while calibrating
* comment
* Fix static issues
* Update ref commit
* Comment
* Remove redundant field
* check for calstatus in selfdrived
* Remove comment
* Update ref commit
* rm
* comments
* default values when yaw rate invalid
* clean up
Revert "default values when yaw rate invalid"
This reverts commit e983abb3b009f15a57ebdfbadd4f616aba5b266e.
do the same for yaw rate we do for roll
and
* 1 is fine
* update refs
---------
Co-authored-by: Kacper Rączy <gfw.kra@gmail.com>
* fast
* lint
* try
* clean
* this
* try even more
* more
* maybe
* what
* maybe?
* maybe
* try this
* fix
* fast?
* now cache?
* debug
* again...
* maybe
* NOW!
* revert, this is already enough (for now?)
* Locationd scenario for timing spike
* Add test for consistent timing spike
* Resiliance to bad timing
* Test update
* Refactor test
* fix comment
* Decay based on frequency
* Fix
* Update comment
* Only for critical services
* Fix tests
