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Self-Driving Coalition.... Curious about Tesla?

Discussion in 'Tesla' started by M0DEL³, Oct 21, 2016.

  1. M0DEL³

    M0DEL³ Dilluting Kool-Aid with Realism daily.

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    Recently learned about the Self-Driving Coalition, and one of my first thoughts was why does Tesla not seem to be participating in this group? Anyone here proffer thoughtful insight?
     
  2. Skotty

    Skotty 2014 Model S P85

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    I would guess they are unrealistic and/or overly idealistic. They are probably advocating for things that cannot happen on the budgets and in the timelines Tesla wants to operate.
     
  3. NoEggs

    NoEggs Member

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    This article seems to suggest that philosophically this group wants to push forward more conservatively than Tesla might.
     
  4. JeffK

    JeffK Well-Known Member

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    They didn't want any possible partial self-driving capability until it was fully self driving. They are very much against AP1
     
  5. BluestarE3

    BluestarE3 Active Member

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    Won't taking this stance severely limit the amount of real-world driving data than can be gathered and used to fine-tune full autonomy?
     
  6. electracity

    electracity Active Member

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    Fleet learning by customer cars is pretty much limited to mapping (exact car position) and testing Beta software. The actual car training is done with company owned cars with more advanced computing. This is explained by Nvidia and should be common sense for anyone with a software background.

    The statements Musk makes are true, as far as I can tell, but almost always too broadly and optimistically interpreted by civilians.
     
  7. JeffK

    JeffK Well-Known Member

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    #7 JeffK, Oct 22, 2016
    Last edited: Oct 22, 2016
    That's not exactly true nor makes any sense with regards to deep neural nets. Models are constantly being retrained with data received from the vehicles and send out with OTA updates. Fleet learning provides the data to retrain.

    This is the exact method they are going to use to do the level 5 autonomy and show regulators that the product is safe. All new cars with the hardware will be driving in shadow mode collecting data. This data describes what actually happened and what the car would have done. If the car would have caused an accident or if the car would have prevented an accident. This data is used to refine the model at Tesla. The new model is sent out to the fleet and the process begins again. Over time this leads to a fairly accurate model which will have encountered all sorts of scenarios and driving environments. It's not just about mapping data.

    Note the proposed cycle by nvidia (Tesla is well known to use a similar cycle):

    [​IMG]

    Also if you haven't checked it out there's nvidia's CEO on the matter at CES (it's a series of short videos from the event)
     
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