231–240 of 347 posts
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You've never been temporary blinded by a low-sun? Never sneezed and had your eyes closed at the wrong moment? This is the same thing..
Humans know when they can't see properly. The problem with adversarial examples is that the neural net thinks it's doing great. You have to manually specify every possible failure mode for the neural net before hand -- if you miss one, you might have an accident.
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> It terrifies me to think of relying on image recognition software to correctly determine (... snip) Do you not drive using only your eyes? If you are not terrified of the sensors, then software? Turing's central belief was that the human brain was 'just' a computer. Regards doing things like embedding reflectors in roads and other ways to simplify lane holding, completely agree. But we can't forego the cameras etc…
The thing is, human "machine vision" has graceful failure modes. You don't switch from seeing cars to seeing nothing to seeing an elephant just because the input got a little noisy. The same cannot be said about current ML demonstrations - because they operate on just vision. Humans continuously reconcile visual input with their model of the world and with other inputs, to the point of overriding visual data if neede…
Watch this at 0.25x speed or slower to see what's going on. This is a carefully chosen environment. Every place it drives has very clear highway centerline markings. It seems to be highly dependent on those for guidance. Sometimes it can't quite identify the road edge, but the centerline provides a position reference. The inputs seem to be road line recognition, optical flow for the road, and solid object recognition…
Also, what is the car doing at 1:33. It takes a right turn, then just stops in the lane, then proceeds.
Watch this at 0.25x speed or slower to see what's going on. This is a carefully chosen environment. Every place it drives has very clear highway centerline markings. It seems to be highly dependent on those for guidance. Sometimes it can't quite identify the road edge, but the centerline provides a position reference. The inputs seem to be road line recognition, optical flow for the road, and solid object recognition…
It terrifies me to think of relying on image recognition software to correctly determine an upcoming crossing road (with cars zipping across) so it can properly slow down, rather than get broadsided at full speed. Or a number of other life-and-death situations (which are common during driving). It just seems fragile (what if the 'vision' is somehow impaired, f.ex. blinded by sunlight, or the road markings are wrong o…
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Cool, when is it being released?
Waymo's Early Rider Program is now running in Phoenix AZ.[1] They have soccer moms and their families in self-driving minivans. [1] https://www.youtube.com/watch?v=6hbd8N3j7bg
Watch this at 0.25x speed or slower to see what's going on. This is a carefully chosen environment. Every place it drives has very clear highway centerline markings. It seems to be highly dependent on those for guidance. Sometimes it can't quite identify the road edge, but the centerline provides a position reference. The inputs seem to be road line recognition, optical flow for the road, and solid object recognition…
One day some joker with two pots of paint (one white, one gray) is going to have a field day causing cars to run off the road.
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All Teslas come with the hardware needed. The $8000 enables the software.
If true, then it seems rather disingenuous to advertise that all Teslas are capable of self driving, if it costs eight grand to turn the sensors on. I wouldn't expect a car advertised to have 1000 horsepower to require a multi-thousand dollar software patch to be able to use more than a hundred hp.
Earlier quoted context omitted.
One day some joker with two pots of paint (one white, one gray) is going to have a field day causing cars to run off the road.
https://creators.vice.com/en_us/article/meet-the-artist-usin...
Watch this at 0.25x speed or slower to see what's going on. This is a carefully chosen environment. Every place it drives has very clear highway centerline markings. It seems to be highly dependent on those for guidance. Sometimes it can't quite identify the road edge, but the centerline provides a position reference. The inputs seem to be road line recognition, optical flow for the road, and solid object recognition…
It's also fun to watch the guys hands. Little tells that he's suppressing the desire to grab the wheel (e.g. 0:44, 0:54). He seems to be fine at stops and intersections, but a bit more attentive when things get tight and curvy. Also, what is the car doing at 1:33. It takes a right turn, then just stops in the lane, then proceeds.
This is quite interesting, I hadn't seen or heard about their intention to restrict like this, prior reading it tonight: "Please note also that using a self-driving Tesla for car sharing and ride hailing for friends and family is fine, but doing so for revenue purposes will only be permissible on the Tesla Network, details of which will be released next year."