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Google Deep Learning Founder says Tesla’s Autopilot system is ‘irresponsible’

Discussion in 'News from Electrek.co' started by RSSFeed, May 30, 2016.

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  1. RSSFeed

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    There are several different approaches to developing self-driving cars. Some companies are gradually releasing more and more advanced autonomous and semi-autonomous features leading to a fully autonomous system, like Tesla’s Autopilot, and others, like Google, are aiming to only release a system once the technology is ready for a fully (level 4) self-driving car.

    Following a few recent accidents in the past weeks, Tesla received some criticisms over its approach on releasing semi-autonomous features. One of the most severe criticism came from renowned scientist Andrew NG who said that it was plainly “irresponsible” for Tesla to ship the Autopilot. more…

    Filed under: Cars, Tesla Tagged: andrew ng, Autopilot, Baidu, ng, self-driving, Tesla, tesla accident, Tesla Autopilot, tesla crash [​IMG] [​IMG] [​IMG] [​IMG] [​IMG] [​IMG] [​IMG] [​IMG][​IMG]

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  2. teslaliving

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    I think people using AP need to be more careful than they are, but I also think on holding off offering improvements to existing systems and waiting on perfection (level 4) is not the way to evolve/progress.

    Note that Google and Tesla take very different approaches to AP. Google is trying to map every bit of every road and is using super-expensive hardware. Even when they get full AP the way they're going its only going to be on the roads they've thoroughly mapped.

    Tesla, on the other hand, uses much less expensive hardware (probably to get better soon if recent news pans out) but can operate on roads that have not been mapped out. It gets better from roads that its been used on before but doesn't need a thorough scan/mapping first.

    Googles suggestion, to wait for level 4 before rolling things out, means they won't have much data to know how well it will do. Tesla is getting TONS of data and improving it constantly.

    My bet on this one is on Tesla.
     
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  3. Topher

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    The 'problems' recently highlighted, are with the communication between Tesla and Customers (I won't place blame). People seem to be getting into accidents doing things which Tesla has said are not correct operation of the feature. No amount of hardware or testing or waiting will solve ever solve that problem.

    Thank you kindly.
     
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