Human Driver Could Have Avoided Fatal Uber Crash, Experts Say (bloomberg.com)
An anonymous reader shares a report: The pedestrian killed Sunday by a self-driving Uber SUV had crossed at least one open lane of road before being hit, according to a video of the crash that raises new questions about autonomous-vehicle technology. Forensic crash analysts who reviewed the video said a human driver could have responded more quickly to the situation, potentially saving the life of the victim, 49-year-old Elaine Herzberg. Other experts said Uber's self-driving sensors should have detected the pedestrian as she walked a bicycle across the open road at 10 p.m., despite the dark conditions. Herzberg's death is the first major test of a nascent autonomous vehicle industry that has presented the technology as safer than humans who often get distracted while driving. For human driving in the U.S., there's roughly one death every 86 million miles, while autonomous vehicles have driven no more than 15 to 20 million miles in the country so far, according to Morgan Stanley analysts. "As an ever greater number of autonomous vehicles drive ever an ever greater number of miles, investors must contemplate a legal and ethical landscape that may be difficult to predict," the analysts wrote in a research note following the Sunday collision. "The stock market is likely too aggressive on the pace of adoption."
Based on the video I saw, she was practically invisible until she entered the car's headlight beams. The road was poorly lit, and she had dark clothing, no reflectors on the bike and no lights.
I don't see how I could have stopped or swerved in time to avoid her in that brief window.
Believe me, I don't care for self-driving cars at all, but I have to remain unbiased here because I know I would have hit her in the same situation.
Be safe out there, people. Put lights on your bike or yourself when you're out there on the road at night.
raises new questions about autonomous-vehicle technology.
No, it raises further questions about Uber's poor, perhaps criminally negligent, implementation. In the last year Uber's had more, and more serious, accidents than I think every other driverless program combined. Google/Waymo has been testing in San Francisco - not Tempe - for years with nothing comparable.
.: Semper Absurda
I actually watched the set of videos and there's two major things to note:
First of all the safety or backup driver appeared to be distracted. Although in all fairness if you're suppose to sit there hours on end without taking an active roll at driving this is probably going to happen. This is why google believes in all or nothing approach, half-baked systems are going to get people killed. While this wouldn't save the cyclist from being hurt, quick reflexes may have saved it from being fatal.
Second, LIDAR works by projecting a super high speed panning laser that maps out the 3D spacial environment. It causes the computer to produce a 3D model of the surroundings. This should NOT be affected by the dark! Unless Uber decided not to use LiDAR which would be a dangerous move. If they're using LiDAR the only explanation is the AI image recognition system failed to recognize the cyclist which is weird considering an object that BIG moving should register as a collision threat. Google has noted that in their own self-driving program the computer can sometimes panic over a flying piece of newspaper while a normal driver wouldn't because it looks like an object heavy enough to threaten the car.
....she was practically invisible until she entered the car's headlight beams
Human vision is MUCH more sensitive than cameras. What looks dark in the video wouldn't be so bad to a human. That's why they use all those lights when shooting video.
So, it wasn't as dark as it appears.
But the other question would be why didn't she see the oncoming vehicle. It had its lights on and even coming around a bend, the light it threw onto the roadway would be visible long before the car itself appeared.
Even if one party in a collision is not at fault, that doesn't mean they couldn't have avoided it.
politicians are like babies' nappies: they should both be changed regularly and for the same reasons
Note, the place is apparently a pedestrian crossing zone just without zebra stripes. You see the marking if you check Google Streetview.
Kudos to everyone in the last story who commented LiDAR being able to see the pedestrian and the crash being totally avoidable. Comments have also been more accurate than the news in the recent Intel and AMD (non-story) about security.
The fact that the highly moderated comments is more accurate almost any news outlet is why I keep coming back. That and I'm *still* looking for Natalie Portman's brand of hot grits.
-- Political fascism requires a Fuhrer.
Clearly we need more people to die before the statistics can be compared.
That's actually true, it is the way statistics work.
Let's say that AI cars have a 'true rate' of 100M miles between fatal accidents, somewhat better than human. Or they could be 50M miles, somewhat worse. The technology is still in development, so who can say.
The fatal accident can happen anywhere in that 100/50 million miles. It could happen mile 1. Mile 20M. Mile 99,999,999.
Spreading that even more, you could have 200M miles with 2 deaths, and have both happen in the first 100M, second 100M, etc... It's really 1/100,000,000th chance of death per mile. You could get multiple deaths, or no deaths.
The only way to nail the real rate down with any degree off accuracy is to have multiple occurrences. Which in this case means more deaths.
I don't read AC A human right
If there is no need to steer, the attention wanders and it is impossible to stay alert. This was discovered almost 100 years ago in the railroads. The engineer had the exacting task of watching for grades and monitoring speed, especially those days with weak steam locomotives that responded very slowly. Still they would get bored and fall asleep. They invented the dead man's treadle. The engineer must keep it pressed, or the locomotive will stop. Even now there are various techniques to check and keep the engineers alert on railroads.
With that much of history, it is stupid for autonomous cars to just leave the driver there. They should have active devices that do challenge and response to make sure the human operator stays alert. Else it is a waste to put a human being there.
sed -e 's/Chuck Norris/Rajnikant/g' joke > fact
Seriously. Pay attention when crossing the road, especially at night.
Seriously. Pay attention when driving a car, especially at night.
Unfortunately paying attention as a driver is no immunity from getting hit as a pedestrian. It doesn't matter if I have the right of way, I'll be the one injured, crippled or dead. And when you know that by far most of the adult population have a driver's license so when you're scraping the bottom of that barrel there's some pretty terrible drivers out there. Looking out for yourself is simple self-preservation, not matter how much the rules say you shouldn't have to.
Live today, because you never know what tomorrow brings
It looks like a crossing (and it certainly should be) but it's actually not:
streetview
Real life is overrated.
So long as it hits fewer ladies with bikes than humans do, yes. It doesn't need to be perfect to be ready for adoption. It just needs to be better on average than humans. If 1/10 fatal accidents involving an autonomous vehicle could have been prevented by a human driver, while 2/10 fatal accidents involving human drivers could have been prevented by autonomous vehicles, then the obvious choice is that we should obviously switch to autonomous vehicles for a total reduction in fatal accidents. I absolutely call that progress. Yes, it's going to suck for those 1/10 people who die as a result, but it'll be huge for those 2/10 people who had their lives saved.
Speaking from experience :
A.
I drive quite a lot when on vacations/week-end, including often on nights, including sometime in fog.
- The human supervisor *should* have turned on the high beams. It seems to me that only the low beams were active, reducing the visibility range. (This might have affected the camera part of the sensors). The super visor is supposed to supervise the self-driving car and thus should be able to see in order to anticipate and compensate bugs, instead of relying the whole thing to work.
- The human supervisor *should* have instructed the car to drive at a speed within the supervisor's visible range (with the low beam only, the visibility is extremely short, the speed should have been kept low).
- The human supervisor *should* have kept eyes on the road (Uber is testing a new technology, bugs are bound to happen.
Definitely the supervisor was doing a couple of things wrong. But even if all the above were followed, that probably wouldn't have saved the bike rider.
B.
I bike to work almost every single working day (welcome to europe), I'm used to bike at night, etc.
- She was wearing dark clothes. It's not a problem per se but you have to keep in mind you're a bit less visible. (Some people here around even where reflective jackets when biking).
- She didn't have any reflector on the bike. That makes the bikes drastically less visible. Usually most bike riders have a good quantity of retroflective reflectors on the bike (plastic on the wheel spokes, sticky bands on the bike body), etc.
- She had absolutely no light. That's a very high danger of collision. Enough for cops here around to pull you if they catch you with an unlit bike. Nearly every one will use a good battery-powered headlight/taillight, often a blinking tail light (legally dubious but every one use them for visibility and police tolerate them). Some bike rider look for "always on" solution to be better visible (magnetic induction tiny lights that are at least visible, even if not very good at lighting. Or on-axis dynamo that powers good lights). Some almost turn their bikes into christmas-tree like light shows just for lulz.
- No helmet (could help diminish the results of an impact, also most of them have reflectors, and some even feature built-in lights).
- She should have seen the headlights from far away. If she counted on the car slowing down, standard practice (massively advertised at the beginning of each school year here around) require to establish eye contact (to make sure that the driver has seen you and will slown down) which is impossible to do by night.
- In the absence of eye contact, she should have waited for obvious signs that the driver will slow down (e.g.: the driver already starting to slow down and blinking the high beams to ack).
- Other wise she should have assumed to not having been seen (specially given the clothes she's wearing).
With my experience with bike I would never attempt to cross the way she did given all the above. That looks absolutely suicidal to me, there's now sane way to expect even a well behaving driver to have avoided the collision.
There must be some reason for her absolutely not paying attention : - being way too much absorbed into some phone conversation over earphones ? - emotionally distressed and not able to focus and pay attention ? - drunk ? (which here around could be a reason for the police to take away your *other* licenses : car driver, boat, etc.)
"Sufficiently advanced satire is indistinguishable from reality." - [Tips: 1DrYakQDKCQ6y52z6QbnkxHXAocMZJE61o ]
I will never swerve on a two lane road. That's a conscious decision I've already made.
You're a fucking shit driver then, get off the road.
People swerve safely a lot. A hell of a lot. Often at high speed. They know how their car handles and they maintain situational awareness that lets them know whether the other lane is clear.
As an example,
It can easily get you killed, through a roll, head on, or into a tree, building, fire hydrant
If you can't swerve without rolling your car, learn to drive.
If you can't tell whether there's an oncoming vehicle that makes swerving dangerous then you don't know what's happening on the road. Learn to drive.
If you can hit a tree, building or fire hydrant by swerving into the empty lane next to you, you've definitely done it wrong.
In short, you need to learn to drive.