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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

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. [1] https://en.wikipedia.org/wiki/Street_canyon https://en.wikipedia.org/wiki/Street_canyon [2] http://www.acfr.usyd.edu.au/research/projects/others/darpa.shtml http://www.acfr.usyd.edu.au/research/projects/others/darpa.s...

commaai 9y ago
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.
- anindha 9y ago
  Have you thought about releasing this as its own product which I could use in an existing navigation app?
  - commaai 9y ago
    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.