Waymo (Google's Self Driving Car Company)


Why do you still need to have a wheel on a level 4 ? When are you expecting to take over ?
 
Tangential -

Someone (Giannis?) argued earlier how self driving car can't react fast enough if a car in front turns without the indicator.

Well, here is a an robot that plays rock paper scissor and will beat a human 100% of time -

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Just for fun, I've recently started noting how many near crash experiences I have per day due to other drivers' inability to face basic rules. I average about 4 per day over the last month, with a maximum of 12.

In this world I wouldn't trust a self driving car.

This is a serious contradiction, lol
 
Real life is completely messed up environment. There are tons of different, specific, special situations going on constantly. Perhaps too specific & too little of them happening for AI to make a pattern out of it. And even when it does it is limited by basic rules - eg. what to do in dangerous situations - and can't eg perform theoretically the most optimal move ... meaning: it can't create it's own (more optimal) rules. Just like AI player @ game playing. It's set by basic rules.

AI is not set by basic rules. AI is self learning, like you and I.
 
AI is not set by basic rules. AI is self learning, like you and I.
A little more than 20 years ago, at the dawn of my driving career, I was more a crash test dummy than a driver. For 5 years I destructed completely 7 cars and thanks to the self learning I have managed to reduce the frequency of the accidents drastically. I feel myself almost like an AI. I hope it is going to learn(or to calm dawn) faster.
 
Having crashed my drone into trees on multiple occasions this is game changing tech and its a great example of how LIDAR and ultra sonic sensors are NOT needed for full autonomy. I was not expecting to see this kind of tech before 2020. Insane to see this on a consumer drone in 2018. The magic is all in the software (Neural Nets being able to identify their surroundings). Confident we'll see self driving cars before the end of this year.

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That's a mega order. This underscores what I mentioned in another related thread, tech giants can dominate AD without manufacturing cars. All they have to do is to develop industry leading tech and before you know it, tech manufacturers will offer to pay for the license or beg for the said company to exclusively use their cars.

Congratulations to Chrysler for selling more minivans.
 
Have you all notice that lately Google captcha are all about selecting images of traffic lights, cars, shop fronts or signs?

Google are using the masses to populate training data for their autonomous machine learning.
 
Have you all notice that lately Google captcha are all about selecting images of traffic lights, cars, shop fronts or signs?

Google are using the masses to populate training data for their autonomous machine learning.
Damn, nice catch and thinking!! I think you’re spot on!! That would be genius and I could imagine Google doing that. What exactly would they gain though?
 
Damn, nice catch and thinking!! I think you’re spot on!! That would be genius and I could imagine Google doing that. What exactly would they gain though?

If you want to teach a toddler the difference what a man and woman is, you just need to point out several examples of a man and woman, and the toddler will figure out the differences themselves e.g Men tend to be taller, have deeper voices, rarely wear pink, don't wear skirts, have short hair. A toddler will eventually get it right but the more examples you give them, the greater chance that they will make the right guess in real life. With autonomous driving the tolerance for errors will be 0.00001% so the more training data gathered, the better.

This is the beauty of machine learning. You feed it examples and it learns to classify or predict behaviour by itself. 10 or so years ago AI was less sophisticated and required continuous programming to improve accuracy.

Machine learning is already used by Google images to show you the right result. When browsing my smartphone photo can search for ice cream or a specific car model and Google Photos will return the correct images eventhough there is no meta data or contextual information. The image recognition is very impressive and is being re-purposed for autonomous driving.

Worth mentioning is that deep learning is very cutting edge. In the past you could use AI for an algorithm that can beat human at chess, but that's all the algorithm could do. If you wanted an algorithm for a different purpose you had start from scratch. With deep learning an algorithm can be taught or self-taught to do several things: e.g image recognition AI could become a cab driver, tour guide, stunt driver, traffic officer, racing driver, crime scene detective etc.
 

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