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Combining vehicle data with a phone's GPS could improve navigation accuracy in urban canyons [1].

Back in 2007 we read CAN data from a Toyota RAV4 to get wheel encoder, steering angle, acceleration, speed, and braking data [2].

I am surprised Uber/Lyft aren't using something like this. I often see the car location jumping around in SF FiDi.

Improved localization / nav is one of the goals of chffr. Through panda, we can use the car sensors for dead reckoning.

Combined with the phone camera, we can get and keep a really precise location fix.

Have you thought about releasing this as its own product which I could use in an existing navigation app?

We don't plan on writing a nav app, the plan is just to improve the location fix at the system level and work with all nav apps.