Silicon Valley-Driven Hype for Self-Driving Cars
nytimes.com
nytimes.com
The Tesla crash and rollover on the Pennsylvania Turnpike is troublesome.[1] That's the situation Tesla's "autopilot" is supposed to handle. Here's the crash location - Penna Turnpike mile marker 160, eastbound.[2] Concrete center divider, metal guard rail on the right, clear pavement markings, summer driving conditions. There's no excuse for a crash in that situation. That may have been an outright system failure. NHTSA and the Pennsylvania State Police are investigating.
Autopilot bug reports are written in customers blood. Musk seems to be in denial about that.
Denial isn't going to work. Look how much trouble General Motors got into over ignition switches with weak detent springs.[3] Keyrings with too many keys could under some circumstances move the switch and turn off the vehicle. (It wasn't just loss of propulsion; power steering, power brakes, and airbag power were also lost.) GM has paid out $3 billion so far, recalled 800,000 cars, and fired 15 people.
[1] http://www.nytimes.com/2016/07/07/business/us-safety-agency-... [2] https://goo.gl/maps/TfcuZR67oXr [3] https://en.wikipedia.org/wiki/General_Motors_ignition_switch...
http://electrek.co/2016/07/06/tesla-model-x-rollover-acciden...
“We received an automated alert from this vehicle on July 1 indicating airbag deployment, but logs containing detailed information on the state of the vehicle controls at the time of the collision were never received. This is consistent with damage of the severity reported in the press, which can cause the antenna to fail. As we do with all crash events, we immediately reached out to the customer to confirm they were ok and offer support but were unable to reach him. We have since attempted to contact the customer three times by phone without success. Based on the information we have now, we have no reason to believe that Autopilot had anything to do with this accident.”
Tesla has no idea if their autopilot was engaged. They lost communications during the crash, probably when the vehicle rolled over.
The customer told the Penn. state trooper involved that they were on autopilot at the time.
This is an extremely misleading interpretation of the article. The article says Tesla has only reviewed the basic crash logs, which don't contain information about autopilot state. The detailed crash logs, which have this information, have not been received because the antenna was damaged in the crash.
So Tesla has only reviewed cursory information that says nothing about autopilot state; therefore, they can state they have "no data [suggesting] autopilot was engaged". But you cannot conclude autopilot was not engaged, because there is critical data missing.
Very misleading.
is a quoted directly from the article. It is also the title of the story.
The trend on these Telsa / EV blogs has been to take Tesla's logs as gospel and discount human observation.
There have been other reports of users claiming autopilot being engaged when it was not and reports of not noticing that summon was enabled even though one can't really miss that (that has subsequently been redesigned).
Human factors for these systems is incredibly challenging since such a wide audience of users useses them.
The Google Maps image date is September 2014 (fine print at bottom of page) and we must assume it looked the same on the accident date. It's entirely possible it looked very different on the accident date. Paint spills, fire or previous accident damage to road surface, debris on roadway, etc.
Also missing from all the reports are weather conditions. Did I miss them? I don't see it mentioned at all in the Times or Detroit Free Press articles. Are we assuming it was a sunny and clear day? That view is going to look very different during a thunderstorm.
Pennsylvania seems to be way ahead of other states in their willingness to research safety issues and make changes to their roads and laws. It was the first state I know of that made it a law that you have to have your headlights on if you are using your rain wipers. Makes sense now but they did it first and it definitely helps others see you. They also paint big white circles on the interstate in areas where rear-end crashes are a problem, so you have a very clear visual and know to keep at least three 'dots' behind the car ahead. There are plenty more examples but I feel like this is the perfect state to have something unfortunate like this happen.
There need to be enforced standards. Prove to us that your car can handle itself (no pun intended), then we'll let your "autopilot" operate unrestricted. Not before.
We also desperately need auditing of the code running their systems. This is a situation where an if statement could kill somebody. These types of problem is why the NHTSA exists.
That actually makes it easier to develop the AI. More sensors means more noise and more work to get rid of it, it means more data and more expensive computations to crunch through it.
This is not to defend Tesla (I could care less) but to point out that "more sensors" doesn't solve the fundamental problem, that of creating a piece of software that can autonomously navigate an arbitrary environment.
We're nowhere neare developing that kind of software and, like people say in academia, it's really not clear how we're going to get to the point where we do.
"...only 15 percent of respondents would want a fully self-driving vehicle as their next purchase. Meanwhile, 39 percent said they would prefer a vehicle that has some self-driving features. Nearly all respondents (95 percent) said they would want access to a steering wheel, gas and pedal controls even if a vehicle were self-driving, suggesting a wariness toward the technology. Brandon Schoettle, the study’s author, noted that public attitudes toward self-driving vehicles haven’t shifted much over the past couple of years, despite well-publicized developments in the space."
This sort of reminds me of Google Glass- the tech early adopters were praising it highly and worked the hype up to a thick lather, but "normal" people wouldn't be caught dead using it and the product belly flopped badly. The entire exercise seems like the self driving technology is being built for its own sake, as though the coolness of the engineering challenge will stimulate sufficient demand to justify the endeavor.
In the article, they state that Google thinks it will be 30 years before cars will be fully capable without steering wheels. If I were a survey respondent, I wouldn't want to wait that long to get my next car either.
As most political science people would know, it depends how the question was asked. It can be asked to insinuate that there would be a Windows 7 computer running their car and it would be taking the person 80 mph on the highway or through the crowded 5 lane bumper to bumper traffic to a job interview, or some important appointment they might say "no". They can immediately imagine horror scenarios happening.
I only found the abstract to couldn't see how questions were formulated:
http://www.umich.edu/~umtriswt/PDF/SWT-2016-8_Abstract_Engli...
You can ask this question of people today and still receive at best tepid interest. Dryers are unpopular in China.
*Washers with the built in dryer that never really works don't count.
1. 80% of the US population lives in urban areas.
2. The cheaper Uber gets the farther out from population centers it can expand.
All they have to do to flip that poll on its head is to sell autonomous cars as a low end product rather then a high end product. As is Tesla is leading the pack with "cool car that cost $80k that you'll never own!"
1) Focus on perfecting low speed bumper-to-bumper traffic fully autonomous driving on freeways.
2) Focus on passing legislation to allow zero driver liability and awareness when using the low speed bumper-to-bumper traffic self-driving mode.
The speeds are low and so the risk factor is reduced by orders of magnitude. Even if an accident happens, it won't be fatal because of the low speeds. And that should also help with the legislation issues. Also, this feature would be very popular. Imagine a commercial with typical bumper-to-bumper traffic. Then the camera zooms in and the driver is sleeping. When the car detects that bumper-to-bumper traffic is going to end soon, it triggers a loud alert which wakes the driver.
And yet all the car companies are ignoring this. I remember reading about early lane keeping and automatic speed cruise control and it would not activate under slow speeds. I was incredulous when I read it. They made this not work for exactly the most useful scenario? I don't care about self-driving for road trips, they don't happen often. And door-to-door self driving is the ultimate goal, but it's going to take a long time to get there. But helping to alleviate the horrible bumper-to-bumper driving by allowing drivers to do something else can be done with current technology. The whole self-driving effort feels like no one has done any market research to see how to make it help with real world situations.
The only drawback to me is that if the car stops completely, the autopilot shuts down and has to be manually restarted (click button) to resume.
> It also requires you to keep
> hands on the wheel (that's
> not a problem, imho).
That stops you from reclaiming the time, so is probably nowhere near as valuable/desirable as one that allows you to repost cat gifs.Self driving cars will lead to worse traffic unless tolls go up enough to make up for it
"Self driving cars" still can't distinguish all driving hazards. The recent Tesla fatality, many stories made it a point to point out the driver was watching a movie.
So, let's move self driving cars to California roads. They will deal well with traffic in places like 880, etc. But, can they deal with poor road conditions, the overall shitty level of driver competence here, etc? I think that is many years off and not yet proven.
Another area to consider - uptake in new cars. I just bought a 2016 Tacoma in the last year. These trucks are known for lasting decades. I don't commute. I don't see replacing it anytime soon, let alone, ever having a self driving car for taking me places in the back country/forrest roads/etc.
It is hype and maybe it will happen for some fleet situations, but I don't see autonomous cars being the mainstay for private individuals in my lifetime.
The movers in industries are never the end consumers, but the large corporations.
Cities will replace HOV lanes with Autonomously Driven Vehicle lanes, and that will include the buses.
In the bay area, Morgan Hill to Mill Valley, keeping things to 101, are part of the same suburban gridlock. Do I see that area changing by "autonomously driven vehicle lanes"? No. And you are an idiot if you think it will happen. Why?
HOV lanes aren't only used by long distance commuters. You aren't going to get HOV/Autonomous lanes through SF. Sorry, After the 89 quake they tore down freeway infrastructure. 880 -> Richmond-San Rafael, yeah no.
Please provide me with a valid scenario where I can get from any of the bay area communities a commute over 30 miles where an autonomous vehicle would work. This is the norm. If you assume anything about future plans, you lose.
Hwy 85 was supposed to help south bay commutes, 2 months after opening, it was still faster to go 17 -> 280 -> Page Mill to get to Stanford from Santa Cruz. Oh yeah, that was still in the 90s.
I have no idea where you live, but, at least in the bay area, maybe you need a commute history lesson.
"Autonomous lanes" much like light rail or Bart lines, have a community effect beyond the "making it easier to move people" effect.
I'm glad we have a "former technology reporter" to tell us this.
https://news.ycombinator.com/item?id=12062294
Excerpt:
> ...good performance on a dataset also doesn't necessarily imply good performance in the real world. I'd wager that even trivial self-driving car models, given reasonable data, would be able to score in the high 90s if we decided on a reasonable notion of accuracy. The real stickler is the last few percent. When we make a mistake at high speed on a road, potentially under questionable conditions, the results can be disastrous. If the cost of a mistake is high, accuracy really doesn't mean anything, especially over a dataset that might not be representative in the first place.
> When we make a mistake at
> high speed on a road,
> potentially under
> questionable conditions, the
> results can be disastrous
Given that that's no less true for humans, why do we require 100% accuracy from cars, rather than just "on average better than humans"?It's interesting that Google's project director estimates full autopilot will arrive between 3 and 30 years incrementally. Up to this point, most news and my friends seem to think it'll be here within 5 years.
Musk has done a ton of great stuff. To be better, he could use someone who he trusts and is an expert in the field, like LeCunn, to simmer Musk's expectations of AI. Right now he seems brimming with confidence about AI to the point he (1) is claiming we're already living in a simulated world, (2) has started his own true AI venture, and (3) is ignoring the relevance of his own product's failures. I can only imagine this is because he is surrounded by Yes men.
I could be 100% wrong.