Uber's Self-Driving Cars Were Struggling Before Arizona Crash (nytimes.com)
An anonymous reader quotes a report from The New York Times: Uber's robotic vehicle project was not living up to expectations months before a self-driving car operated by the company struck and killed a woman in Tempe, Ariz. The cars were having trouble driving through construction zones and next to tall vehicles, like big rigs. And Uber's human drivers had to intervene far more frequently than the drivers of competing autonomous car projects. Waymo, formerly the self-driving car project of Google, said that in tests on roads in California last year, its cars went an average of nearly 5,600 miles before the driver had to take control from the computer to steer out of trouble. As of March, Uber was struggling to meet its target of 13 miles per "intervention" in Arizona (Warning: source may be paywalled; alternative source), according to 100 pages of company documents obtained by The New York Times and two people familiar with the company's operations in the Phoenix area but not permitted to speak publicly about it. Yet Uber's test drivers were being asked to do more -- going on solo runs when they had worked in pairs. And there also was pressure to live up to a goal to offer a driverless car service by the end of the year and to impress top executives.
Why does that sound so familiar?
Oh, wait. I'm a software developer.
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Self driving cars are mostly hype. They're primarily self driving on very good, very clean, very well mapped roads only. Take them out of perfect conditions, and they fail miserably.
That being said, the technology is still cool, even though it has a long, long way to go. A lot of the technology could eventually be incorporated into normal everyday cars to help human drivers avoid accidents.
But the hype, at this point, is kind of out of control.
What I'm shocked about is that, of all companies, Uber would make morally dubious decisions in its race to profit off of a new market. I mean, when have they ever acted like that before?
Ok, so forcing them to liquidate might be extreme, but clearly there is some kind of regulatory framework missing here!
I hope the victim has some relatives that want to get rich though.
Clearly, not all autonomous vehicles are the same.
It's very like camera - a cheap one and an expensive one will both offer "autofocus" and "zoom lens"
The cheap one will have 3 or 4 focus settings, while the expensive one will be continuous. The cheap one will have 2 or 3 zoom settings, while the expensive one will, again, be continuous.
So, Uber's cars look to be at the "what is the minimum that can make a car steer itself" end of the scale, and the Google ones are "have we missed anything off the long list of things that will help a car steer itself" end
"She's furniture with a pulse"
Their mutual rating system actually does do just that. Get used to the gig economy - your 19th century factory model is going away.
My God, it's Full of Source!
OUTSIDE_IP=$(dig +short my.ip @outsideip.net)
Agreed. Also, how many of us have had kids run out in front of us? I have. And if I weren't paying attention, the kid, his parents and I would have a very bad year. Who cares who fault it is: I was part of hurting someone.
And so what if someone was an "airhead" and stepped out in front of the car? Doesn't make it OK. The purpose of self-driving cars is to make the roads safer because the machines are supposed to be better than humans.
That's a baldface fucking lie, and you know it. Uber has come under massive criticism from day 1 for shamelessly and egregiously breaking livery and employment laws in nearly every jurisdiction in which they have established themselves.
Now their half-baked AI implementation has killed someone, and you want to beg off criticism of blatant criminality as merely political grandstanding? These mobsters deserve every ounce of criticism they get regardless of who is in office.
When Uber started as a 'ride sharing app', ostensibly helping people coordinate carpooling where they were going to be going anyway, it was fine.
When it became "a taxi, but paying drivers less and trying to get out of the same regulations for no other reason than somehow being 'cooler' than taxi companies", a lot of deserved criticism came about.
XML is like violence. If it doesn't solve the problem, use more.
If that machine is incapable of detecting and avoiding unexpected obstacles and that unexpected obstacles is less squishy than a human it could easily be the occupant of said machine that dies...
Yes, because nobody had criticized Uber before. Projecting much?
Ezekiel 23:20
Sounds like just about every failed IT project. Rush to market, ignore test failures, probably a thermocline of truth.
From what we've been hearing, somebody in the chain of command between the inattentive driver and the CEO, deliberately created this situation and should be charged with manslaughter.
09F91102 no, 455FE104 nope, F190A1E8 uh-uh, 7A5F8A09 that's not it, C87294CE no. Ah! 452F6E403CDF10714E41DFAA257D313F.
When it became "a taxi, but paying drivers less and trying to get out of the same regulations for no other reason than somehow being 'cooler' than taxi companies", a lot of deserved criticism came about.
If that's the case, then why isn't everyone piling on Lyft as well?
SJW: Someone who has run out of real oppression, and has to fake it.
Well then, stop using them. The only way for the market to punish this behavior is to stop using the service. But as we see time and time again, convenience, compliance, and human stupidity will allow them to succeed. We really are out worst enemies.
Did you not even bother to read TFS? In the summary it quite clearly states the other self drive companies were achieving 5600 miles between interventions while uber could not meet it's 13 mile goal. Sounds to me like uber's system is just plain not ready. I'd even question 5600 miles. Once they get to 1 million I'd say they are there.
I think you are the one making this political.
This isn't an IT project though, it's the real world. Failed IT projects seldom costs lives, just money. This is what the app IT world needs to understand when moving into the real world of engineering. Rushing to market has real consequences.
Self driving cars are mostly hype. They're primarily self driving on very good, very clean, very well mapped roads only. Take them out of perfect conditions, and they fail miserably.
But even a car that could drive under such conditions would be extremely useful. Take, for example, public buses. They just drive around the exact same route everyday, and the route in many places is upgraded with special lanes and signalling infrastructure to make their job easier. There is no reason why you couldn't start with replacing such bus routes in cities with moderate weather conditions. Over time a combination of roading infrastructure improvements (special lanes, intersection redesigns, beacons etc) and the tech getting better could easily expand out to cover the majority of vehicle uses in a city. Again, we do this for bicycles and buses, so why is it impossible to imagine it would make sense to do some road works to cater towards driver less cars?
Another example is motorway driving. Motorways are already an extremely controlled and regular environment. It would be great to have a driver less truck that can go door to door, but there is no reason why we can't start with depots built off the side of motorways where local human drivers pick up and drop off longhauled trailers. As for weather conditions guides in the road way and other navigation infrastructure could be added if these problems cannot be dealt with using lidar and cameras.
Yes, I agree that a car you can just dump into an unknown urban environment is a long long way off. But I don't understand the fascination with meeting this goal before driver less vehicles can be useful to us.
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So Uber lags Waymo in self-drive? Microsoft has been getting away with being the laggard in operating systems for years, yet it still makes billions.
What? The gig economy IS the 19th century factory model. Back then workers assembled at places and the bosses pointed out which got to work that day. No job security, bad wages, no insurance.
The gig economy is just a scam trying to fool people into believing that they are "freelancers" or "consultants" when they in fact are making slave wages working more hours than is legally allowed. A freelancer or consultant can set their own wage and negotiate on it. In the gig economy you have to accept whatever wage is offered, no negotiating allowed. And if someone made an app to act as a intermediary they get to rake in 30% or so off the top because you are their slave now.
I will never get used to the gig economy and hope that any civilized economy outlaws it. We already allows freelancers/independent contractors in todays economy, but that wouldn't make Uber and its' ilk any money, so off course they don't want that.
Someone is dead because of a faulty development process, which in turn is the result of a toxic business climate.
I suspect this happens more often than we know; it's just seldom that you can connect the dots so readily.
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Given that Waymo has cars that go 5600 miles on average between human interventions, and Uber was only averaging 13, I'd say your being alarmist. If I had a Waymo car I could in theory get away with intervening less than twice a year on average. What all of this has shown is that Uber isn't competent or responsible enough to be working in this field.
It happens all the time which is why I am finally running away screaming fro software.
putting the 'B' in LGBTQ+
Give GP a brake. It's a doggy dog world out there.
Beware of the Leopard.
Waymo claims 5600m between interventions. Maybe it's true, but until they are forced to release some data (say, via a fatality) I see no reason for believing a claim made by a company spokesperson.
It's public because California's regulations require it to be public. 352454 miles driven, 63 disengagements = once every 5600 miles. Read the report (pdf) yourself.
Live today, because you never know what tomorrow brings
It's also likely that those 63 interventions were because the car was *too* cautious. For example, around construction zones.
I remember hearing one anecdote. Workmen were moving around their vehicle, inside the border of traffic cones. The car was predicting that they might step out in front, so it just didn't move.
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Naw, probably the police just assessed the situation as they would for a human driver. Nighttime. Pedestrian in a place a pedestrian shouldn't have been. An unimpaired human driver might well have been unable to avoid an accident and very likely wouldn't have been held responsible. BUT. The damn car seemingly SHOULD have done better than it did. Disturbingly it never seemed to try to avoid the accident even though it might have been too late to do so by the time the pedestrian was recognized. THAT seems very bad.
Conclusion: Probably not really ready for prime time.
You can't see ANYTHING from a car, You've got to get out of the goddamned contraption and walk...Edward Abbey