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ant (Member Profile)

Samantha Bee - Heart-On: Lee Gelernt Edition

Samantha Bee - Heart-On: Lee Gelernt Edition

Trump Calls Obama To Discuss His Refugee Ban

Gratefulmom (Member Profile)

Gratefulmom (Member Profile)

Re-edited Star Wars Lightsaber Duel

How to Make a Hologram

kir_mokum says...

the amount of data and processing this would require would be STAGGERING and would still only output the equivalent of a low poly animation (this would build a point cloud rather than a polymesh). i would guess it would be in the ballpark of 1 TB/sec. possibly more.

most of the tech is actually pretty old but it's consolidation and implementation is impressive.

Gratefulmom (Member Profile)

Tesla Model S driver sleeping at the wheel on Autopilot

bremnet says...

The inherently chaotic event that exists in the otherwise predictable / trainable environment of driving a car is the unplanned / unmeasured disturbance. In control systems that are adaptive or self learning, the unplanned disturbance is the killer - a short duration, unpredictable event for which the system is unable to respond to within the control limits that have been defined through training, programming and/or adaptation. The response to an unplanned disturbance is often to default to an instruction that is very much human derived (ie. stop, exit gracefully, terminate instruction, wait until conditions return to controllable boundary conditions or freeze in place) which, depending on the disturbance, can be catastrophic. In our world, with humans behind the wheel, let's call the unplanned disturbance the "mistake". A tire blows, a load comes undone, an object falls out of or off of another vehicle (human, dog, watermelon, gas cylinder) etc.

The concern from my perspective (and I work directly with adaptive / learning control systems every day - fundamental models, adaptive neural type predictors, genetic algorithms etc. ) is the response to these short duration / short response time unplanned disturbances. The videos I've seen and the examples that I have reviewed don't deal with these very short timescale events and how to manage the response, which in many cases is an event dependent response. I would guess that the 1st dead person that results from the actions or inaction of self driving vehicles will put a major dent if not halt to the program. Humans may be fallible, but we are remarkably (infinitely?) more adaptive in combined conscious / subconscious responses than any computer is or will be in the near future in both appropriateness of response and the time scale of generating that response.

In the partially controlled environment (ie. there is no such thing as 100%) of a automated warehouse and distribution center, self driving works. In the partially controlled environment where ONLY self driving vehicles are present on the roadways, then again, this technology will likely succeed. The mixed environment with self driving co-mingled with humans (see "fallible" above) is not presently viable, and I don't think will be in the next decade or two, partially due to safety risk and partially due to management of these short timescale unplanned disturbances that can call for vastly different responses depending upon the specific situation at hand. In the flow of traffic we encounter the majority of the time, would agree that this may not be an issue to some (in 44 years of driving, I've been in 2 accidents, so I'll leave the risk assessment to the actuaries). But one death, and we'll see how high the knees jerk. And it will happen.

My 2 cents.
TB

ChaosEngine said:

Actually, I would say I have a pretty good understanding of machine learning. I'm a software developer and while I don't work on machine learning day-to-day, I've certainly read a good deal about it.

As I've already said, Tesla's solution is not autonomous driving, completely agree on that (which is why I said the video is probably fake or the driver was just messing with people).

A stock market simulator is a different problem. It's trying to predict trends in an inherently chaotic system.

A self-driving car doesn't have to have perfect prediction, it can be reactive as well as predictive. Again, the point is not whether self-driving cars can be perfect. They don't have to be, they just have to be as good or better than the average human driver and frankly, that's a pretty low bar.

That said, I don't believe the first wave of self-driving vehicles will be passenger cars. It's far more likely to be freight (specifically small freight, i.e. courier vans).

I guess we'll see what happens.

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