NNFF Live Updating Longitudinal Controller

[Discountchubbs]

Introduces a live-updating NNFF longitudinal controller for a more personalized pid controller adapted to the user's specific driving conditions.

Summary by Sourcery

Implements a live-updating NNFF longitudinal controller that adapts to the user's driving style by monitoring vehicle behavior during stopping and starting, and adjusting longitudinal control parameters accordingly.

New Features:

• Introduces a live-updating NNFF longitudinal controller to personalize the PID controller based on driving conditions.
• Implements a neural network to learn optimal longitudinal control parameters from braking events.
• Adds a system to monitor and adapt longitudinal control parameters based on vehicle behavior during stopping and starting.
• Introduces safety checks to validate parameter combinations and prevent unsafe stops.
• Implements a system to save and load tuning parameters from persistent storage.
• Adds tests to verify the functionality of the longitudinal live tuner and neural network.

[sourcery-ai]

Reviewer's Guide by Sourcery

This pull request introduces a live-updating NNFF longitudinal controller. It works by initializing a LongitudinalLiveTuner object in the _get_params method of each car interface. The LongitudinalLiveTuner class contains the logic for monitoring vehicle behavior, adapting longitudinal control parameters, and training a neural network to learn user driving habits. Unit tests and simulations are included to validate the implementation.

No diagrams generated as the changes look simple and do not need a visual representation.

File-Level Changes

Change	Details	Files
Introduces a live-updating NNFF longitudinal controller that adapts to user-specific driving conditions.	Adds LongitudinalLiveTuner class to opendbc/sunnypilot/longitudinal_live_tuner.py. Initializes LongitudinalLiveTuner in _get_params method of car interfaces. Adds test_long_model directory with simulation and unit tests for the longitudinal live tuner. Adds a neural network to learn user driving habits and adjust longitudinal control parameters accordingly.	opendbc/car/honda/interface.py opendbc/car/tesla/interface.py opendbc/car/ford/interface.py opendbc/car/gm/interface.py opendbc/car/hyundai/interface.py opendbc/car/rivian/interface.py opendbc/car/subaru/interface.py opendbc/car/toyota/interface.py opendbc/car/volkswagen/interface.py opendbc/sunnypilot/longitudinal_live_tuner.py opendbc/sunnypilot/test_long_model/Simulate_tuning.py opendbc/sunnypilot/test_long_model/SimpleNeuralNetwork test.py

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[Discountchubbs]

Need to deprecate this in favor of (params) flagging to reduce dependencies on the openpilot repository.