Machine Learning in the Google Self-Driving Car

Machine Learning in the Google Self-Driving Car


Listen to Sebastian Thrun, founder of Google X and godfather of self-driving cars, explain how the Google Self-Driving Car works.

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13 Comments on "Machine Learning in the Google Self-Driving Car"


  1. At 1:31 it almost looks like he was nervous there for a second and wanted to put his had on the wheel. 🙂

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  2. I was wondering if we can start using the technology in our cars, and "training our own car" with the data of our routines. That is on top of the ones are already in memory. I imaged the scenario where all the cars have the same data and are driving at the same time, if they have the same time of response, they are going to… at certain point arrive to the same point… meaning the same space. But if we feed our car with our own way of driving and time response criteria we are adding variability that can be as unique as a fingerprint. 😀

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  3. self driving cars is cool but…don't cares how big is the training set used , there will be always circumstances not covered in wich the decision don't minimizes the error (see the deadly crash of Tesla)

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  4. Intelligence to Self driving cars is fed by the best engineers in the world, but they are not the best human drivers themselves.
    Maybe for a road car,the engineers can feed enough data and algorithms for the cars to cope. But when racing, how will the engineers manage to feed computers the instinct of racing drivers like Michael Schumacher?

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  5. Can you provide any algorithm or code for self driving car to start with or how you have proceeded with programming for self driving car using machine learning . I am very curious about it.?

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  6. This dude looks like Micheal Keaton and so I'm not comfortable with him teaching machines how to do stuff

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  7. OMG, that was funny! "…and every time there was a bug in the program, the car would punish us." [A comment by Sebastian regarding the self driving car's learning phase over rough terrain in the desert].

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