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Blind Man Test Drives Google's Autonomous Car
Velcroman1 writes "'This is some of the best driving I've ever done,' Steve Mahan said the other day. Mahan was behind the wheel of a Toyota Prius tooling the small California town of Morgan Hill in late January, a routine trip to pick up the dry cleaning and drop by the Taco Bell drive-in for a snack. He also happens to be 95 percent blind. Mahan, head of the Santa Clara Valley Blind Center, 'drove' along a specially programmed route thanks to Google's autonomous driving technology. Google announced the self-driving car project in 2010. It relies upon laser range finders, radar sensors, and video cameras to navigate the road ahead, in order to make driving safer, more enjoyable and more efficient — and clearly more accessible. In a Wednesday afternoon post on Google+, the company noted that it has hundreds of thousands of miles of testing under its belt, letting the company feel confident enough in the system to put Mahan behind the wheel."
Grow up. They have done 200,000 miles with a person sat in the driver's seat to ensure he can take control if anything went wrong. On a pre-programmed route this is a very stable system and he had someone beside him in the passenger seat (I also wouldn't be surprised if it was dual-control so the passenger has access to a brake pedal). Meanwhile this technology could eventually change the lives of millions upon millions of disabled people, damn right it deserves the publicity. With your attitude we'd never have wheelchairs or crutches or surgery, all things which, the first time out, could have resulted in injury but have been life changing tech for millions.
Later she was called to the police station to make a statement. The police had arrested the driver. He said he had not seen the crossing because there was thick fog (mildly overcast). Then they discovered that he was registered partially sighted. He had cataracts.
He was convicted of:
His comment to my wife at the police station? "You've spoiled my day". He simply did not realise how serious his offense was.
So I applaud what Google is doing, because I've worked with computers for nearly 35 years, and human beings for over 40, and if the system is designed I would trust the computer over the human being any day of the week, and double on Sundays (drunks with hangovers).
From scarped cliff or quarried stone she cries "A thousand types are gone, I care for nothing, no not one."
Yes, because Google (and the authorities letting these cars on the roads) would have *never* thought of the possibility of pedestrians running in front of these cars.
Quick! Get in touch with them and bring this to their attention!
Most likely an autonomous car can react quicker to an obstacle running in front of it faster than a human can.
And given the average human's driving ability, it probably fares no worse when it comes to being in the correct lane at complex junctions.
Maybe it will need two more orders of magnitude of testing and refinement before it can be included in cars that the blind person can be alone in, but progress is progress, and this is surely a milestone?
Of course I will jailbreak my car when it comes with such technology, so that I can add my own AI modules, such as "HunterKillerMod" that turns the car into a pedestrian killing machine. And "DestroyAllCyclists" too, obviously (who won't have that installed?).
And to go a little further, technology doesn't get sleepy. Technology doesn't get distracted by cell phones, GPS systems, or the radio. Technology won't have a blind spot. This is going to be an incredible advance. I'm much less worried about a driverless car hitting a pedestrian than I am the average driver hitting one.
I'm a leaf on the wind. Watch how I soar.
They can also drive safely millimetres (like inches but smaller) apart from each other, massively increasing the capacity of the existing road network.
I've seen that thing MERGE WITH MOTORWAY (freeway right?) TRAFFIC!!! 8@~~
It's bonkers clever. I want one. Where we all just sit around the table inside it having breakfast.
Did they think of the possibility of driving over a cliff-edge while out of GPS reception?
If the Internet is to be trusted at all, I'll take the chance of a self-driving car careening off a cliff due to lack of GPS reception over the chance of a human careening off a cliff because of GPS reception.
Does it detect ice, snow, oil, sand before the wheels are there?
Humans certainly don't... but there are already automatic traction control systems that do an excellent job maintaining the vehicle's footing in all but the more extreme situations - I can't imagine it would be that hard to send that data to the pilot AI and have it react by slowing down. Also I'd imagine it would be easier for the computer to detect ice and such using sensor data (IR cameras to detect road surface temp, lasers reveal changes in surface reflective properties, etc.)
What about kids throwing stones off the top of a bridge onto the passing cars (common problem in the UK - someone died just the other month from this)? Is the car looking UP too and determining their intent?
Again, I doubt humans would do much better. The radar systems on an automated car could conceivably be used to detect objects that may hit the car even from above and some evasive/mitigating action could take place - with better reaction times than a human driver.
This is why even a jumbo jet - so of the most highly automated and tested machines in the world - has TWO HUMAN OPERATORS. And even there, they have TWO because the first can't be trusted on their own (proven by that recent thing with the pilot).
Again, though I don't keep careful track of these things, there seems to be more incidents related to human error than automation error. Specifically the humans overriding the automated systems to correct for a problem that didn't actually exist.
If you honestly, seriously, think that you can reliably determine the outcome of a machine complex enough to obtain all that data, you're an idiot.
Humans are essentially machines much more complex than that, and have tens of thousands of years worth of historical precedent for doing incredibly stupid things despite having accurate information - yet somehow they are more trustworthy than a machine just by virtue of not being a machine? This kind of argument instantly refutes itself.
How do you test the system for these things? Tens of thousands of hours of real-world driving. Considering all a human needs to legally operate a 2-ton projectile is roughly twenty minutes worth of testing (if you're lucky!) I'll take my chances with the machine.
=Smidge=
Was that you? Sorry, I was trying to get FP...
As explained by other, the car *does* slow down, and even eventually halt when exposed to situation it thinks it can't handle.
Also, the car has much lower reaction times. So in some situations, it doen't really need to slow down, it will react immediatly if needed, whereas a human driver will need to slow down to make room for slower refelexes.
(The distance between autonomous vs human-driven cars on the motorway, for example).
"Sufficiently advanced satire is indistinguishable from reality." - [Tips: 1DrYakQDKCQ6y52z6QbnkxHXAocMZJE61o ]
Drive-up ATMs have braille for two reasons.
1. It's cheaper and more efficient to make all your ATMs the same, so walk-up and drive-through models are often the same.
2. Blind people need to have access to cash, too, and it's not uncommon for them to be driven to an ATM by a sighted driver. Usually they sit in the rear driver's side seat and the driver just pulls a little more forward than normal so the blind person can access the ATM.
I am currently enrolled in Sebastian Thrun's robot car course CS373. He's the Stanford professor and Google Fellow that headed the group that WON the DARPA Grand Challenge. My understanding, from taking this course, is that their self-driving car is not only able to navavigate to a goal-destination in unfamiliar territory (as in the Grand Challenge, which took place in a desert), but the car is able to identify urban obstacles: crosswalks, stop signs, traffic lights, and can also predict the motion of potential obstacles around it (i.e. cars and pedestrians). The robot car uses controllers with statistical models, so it is able to identify the probability of an obstacle entering the trajectory of the vehicle and respond accordingly -- slowing down like you would in that situation.
Watch some videos of the Stanford car.
Here's the class at Udacity if you're interested.
http://www.udacity.com/overview/Course/cs373
idm owns me