* ci: update package management for `ui_preview`
Add `apt-get update` before installing ImageMagick to ensure the package list is up-to-date. This prevents potential installation issues due to outdated package information.
* test commit
* try this
* revert
* 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
* reset curvature while disabled
* comment
* duplicate line
* fix possible iso violation because it was unlimited while disengaged
* rename so you can't accidentally use
* update refs
* Update max_lat_accel.py
The error you're encountering is due to the fact that the code is trying to calculate the 90th percentile of lateral acceleration values that are less than 0, but there are no such values in the dataset. This results in an empty list, which causes the np.percentile function to fail with an IndexError
* fix
* simpler
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Co-authored-by: Shane Smiskol <shane@smiskol.com>
Adeeb Shihadeh
Kacper Rączy
Harald Schäfer
Jason Wen
Iamz
James
commaci-public
Maxime Desroches
Robbe Derks
Shane Smiskol
Louis Velez
Dean Lee
Alexandre Nobuharu Sato
Lee Jong Mun
Trey Moen