Alphabet Is Finally Taking the Driver Out of Some of Its Driverless Cars (recode.net) 176
An anonymous reader shares a report: After almost a decade, Google's parent company Alphabet is getting closer to fulfilling its promise of rolling out cars that can take anyone anywhere without a driver behind the wheel. Alphabet's self-driving car company, Waymo, is introducing truly driverless cars to public roads for the first time, the company's CEO John Krafcik announced today at the Web Summit conference. That means there won't have to be a person sitting in the driver's seat, waiting to take over, and that the car's computer system will complete all parts of the driving task -- though for now, only in some of the company's cars in Phoenix, Ariz. While this move is still geographically limited, it marks the beginnings of Alphabet's driverless future finally becoming a reality. No other company has succeeded in operating a fleet of fully driverless cars on public roads.
This is coming a lot faster than most think (Score:5, Insightful)
I've seen other posts on Slashdot before that were dubious we'd see self driving cars in the next 20 years... but it's not even going to be five before they are in use with real people in all sorts of areas, as this article indicates.
There is just too much demand, too much benefit, and SO much effort being put into making self driving cars work. People seem concerned these cars may make mistakes but the benefits are so huge mistakes will be overlooked, because in the end even now they are probably safer than most human drivers, much less after a few more years of effort.
The largest obstacle I see really is how to deal with snow, which can really block up pretty much any kind of sensor. Otherwise the technology to drive correctly has advanced and will continue to advance at a very rapid clip...
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Anyone familiar with the technology (Score:3, Interesting)
Who says the technology has advanced at a rapid clip?
I've spent some of my spare time studying self driving car tech (including the Udacity course). It's not like I'm going to be building my own self driving car anytime soon, but I've learned enough to see that self driving car tech is very real and not hype. There are a LOT of prototype cars on real roads today from a large number of companies,, not just in California, not just Google, but others cities and companies now as well. We are very close to th
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I've spent some of my spare time studying self driving car tech
Reading articles on MacFanboyNews.com is not research or study.
I'm actually involved with the one of the key technologies used by Google for its autonomous cars, namely LIDAR. Google uses a Helodyne HDL-64, which is a fantastic bit of kit but has a few serious drawbacks that are inherent to LIDAR. Namely moisture. Strangely enough, objects with a high refractive index like water tend to really screw with LIDAR (the L stands for Light). Whilst a Helodyne HDL-64 is fantastic at doing aerial terrain surveys
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"Who says the technology has advanced at a rapid clip? The hypesters that run these companies. These cars will still have employees in them."
Sure, but from the back seat (as in the video) the most they are going to be able to do is hit a button for emergency stop. What's being demonstrated here is that the car is now expected to be able to deal with all situations to be found in that area of Phoenix, with real life traffic and pedestrians.
We're not at a commercial Level 5 system yet. But it's getting tantal
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Do you enjoy being wrong, always doubting everything?
Slashdot tradition I suppose. "No wireless. Less space than a Nomad. Lame."
liability both civil and criminal need to be worke (Score:2)
liability both civil and criminal need to be worked out.
Maybe they can hide under eula and other bs + drag out trails so that victims take a low settlement to get on top of there mounting bills.
But in a criminal cases if they try NDA's / destroying evidence it can get very bad for them.
now there may be a push to have doctored evidence to cover for poor code and other system faults.
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NDAs wouldn't cover the other car and its passengers . . .
It's a matter of working it out and allocating it, but it is "merely" that.
Once the accident rate/severity can be brought significantly below the of human drivers, the total cost of vehicle production and liability becomes less than the total cost of human vehicle and regular liability.
The only "real' issue here is whether to allocate the liability to the owner or the manufacturer--and even so, the total costs remains the same.
One possible solution i
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I've driven in snow that blocked up all my sensors though too. I once had to open my door and follow the white line on the road outside the door to navigate while someone watched for tail lights ahead at 5mph for an hour. Having GPS + Radar guidance would have been invaluable. Radar would have seen through the snow no problem and GPS could have kept me on the road.
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Why didn't you just clear the windscreen? Why wouldn't a self-driving car have wipers and heaters to keep sensors clear?
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I haven't been caught in snow that bad, but once was caught in fog so thick I could barely see the end of the hood--and ended up opening the door to creep down the road with the dotted line.
These conditions *do* exist, and clearing the windshield won't help when the vision obstruction is in the air.
while I've *seen* snow that drops visibility to a few feet, I was able to stay inside.
There's a reason I live in this desert . . .
hawk
(and, yes, there are deserts that get snow, and even parts of this valley--but
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Maybe this is where human truckers make a living for a while, getting self-driving trucks through major snowstorms.
Probably not. When the weather gets really bad, truckers pull over and wait it out. If you've driven I-84 across Wyoming in a blizzard (or high winds), or I-70 westbound from Denver in a snow storm or I-80 from Salt Lake to Park City, you've seen long lines of trucks pulled off the side of the road, idling, waiting it out.
Although no one has yet really focused on building the tech for driving in severe weather conditions, because they've been solving the good-conditions problems first, it seems clear to m
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I concur. Weather will be what might stop further development of driverless cars. Working in snow weather, rural areas, and severe weather will not help LIDAR-based and camera/laser-based tech. Snow and rain molecules along with EM interference from lightning will make driverless cars stop on the side of the road... if it can find it.
EM interference doesn't affect cameras, LIDAR or radar. And the combination of those three sensor types will provide driverless cars with much greater ability to "see" in bad weather than any human has. Waymo is just beginning to work on severe weather driving issues, because it made more sense to address the common case first, but they have started working on it, and I expect we'll see good results in two or three years.
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I think it's also going to be a bitch to get this thing to drop your boat off at the boat launch...park itself, and then know when to come back to get you after your day at the lake...
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>There is just too much demand, too much benefit, and SO much effort being put into making self driving cars work. People
As I said elsewhere, SDC is a perfect confluence: government, users and corporations - all are insterested in this:
- Government will get more control on the traffic and population (eventually)
- Users will get more free time in the comfort of the personal environment of their car (whether it is a hire or personal car does not matter). There won't be proverbial Sartrarian "others".
- Corp
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I see the cost being a factor at first. The lidar system adds something like $7500 on top of the car. Obviously there are already costly alterations done to vehicles right now to make them handicap accessible so a market is there. In fact, the market might be even greater, since current modifications are still reliant on the driver having some capacity.
There must be others that would very much like to be driven around, but are flatly unable to get a license, due to age, vision, motor cortex problems etc. So
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I see the cost being a factor at first. The lidar system adds something like $7500 on top of the car. (...) There must be others that would very much like to be driven around, but are flatly unable to get a license, due to age, vision, motor cortex problems etc. So I see those groups as the pioneers.
My parents have lost their driving licenses, going to the cabin without me they'd have to take a complicated taxi-train-taxi setup or a direct taxi which would be like $170 whereas the actual running costs are like $40. And they'd probably have to pay some return fare since the driver would be way out of his regular area, so potentially closer to $300. So around $250 extra, one way so $500 round trip. Multiply by 5-10 trips a year, 5-10 years lifespan, never mind the other uses they'd have... $7500 is a bar
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Compare that $7,500 up front (which history says will drop to a fraction of that with mass production) to a huge drop in annual insurance in a large city (far less compelling in rural areas).
If someone gets a $500/year insurance break, *and* gets back an hour a day by doing something else in the car instead of driving, it starts sounding cheap *really* quick
hawk
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There are interesting issues to do with interaction with other road users. And there are people working on those things. But no, it's not nearly as big as issue as snow. Snow is a showstopper right now. It interferes with sensors. It makes the expected view completely different from the ones usually trained with. And what to do in a skid is a huge issue.
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There are interesting issues to do with interaction with other road users. And there are people working on those things. But no, it's not nearly as big as issue as snow. Snow is a showstopper right now. It interferes with sensors. It makes the expected view completely different from the ones usually trained with. And what to do in a skid is a huge issue.
My expectation is that dealing with other things in the road rather than snow is the biggest issue.
For snow you primarily need to drive slowly enough. And if you do skid that's just physics you have to deal with.
But there's a near infinite number of weird things that could be in the street.
From my experience in Baltimore that can include motorcycles driving through red lights, skate boarders in the middle of the road, construction workers holding signs that say "stop", but they want you to go. And I expect
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Sure, but all the things you list are common enough. And the car will have good vision and perfect control.
Yes, pedestrians deliberately stopping autonomous cars is certainly going to be an issue. Not just beggars, but protestors, trolls, carjackers. There's certainly going to be problems there to tackle. But it's more a law enforcement issue than an autonomy one. Stopping when a pedestrian stands in front of a car is the only reasonable response from an automated system. Same as for a human driver in nearl
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Snow is a showstopper right now.
Tesla Autopilot works in the snow. Why would Waymo be different?
And what to do in a skid is a huge issue.
Baloney. Computers deal with skids way better than humans.
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AP is only level 3. We're talking about level 4 and 5 here. AP Is only doing lane following and adaptive cruise control, and on any moderately curvy or otherwise interesting road it panic frequently and hands over to the driver. So no, that's not evidence that snow is not a show stopper for Level 4 & 5 right now.
"Baloney. Computers deal with skids way better than humans."
Reality: computers can recover from skids with traction control better than people. It would also be easy to have it steer into the sk
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I'm not saying that computers won't be able to do this stuff eventually. I'm saying it's harder than the issues around operating in the same space as non-autonomous cars.
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... what benefits? Legitimate question.
Safety is number 1. Having autonomous driving systems that never get tired or distracted, always obey traffic laws, and in the event of unsafe circumstances (e.g. person or animal running onto the road, blowout or other mechanical failure on another vehicle, or error by a human driver) are able to react faster than humanly possible will save lives, prevent injuries, and reduce property damage.
If you're in the car going somewhere then why not drive it yourself?
Most people have many things they would rather do than drive. Having the car do the driving frees you up to do work
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Most people? No. I can't even remember the last time I met someone who said they enjoy their commute, and people complain about their commutes constantly. Most people absolutely loathe driving, but we do it because it works better and faster than public transit.
I keep telling people (Score:3)
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It's gonna be like when computers decimated junior accountants
When did that happen? My wife's firm just hired 3 more.
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It's gonna be like when computers decimated junior accountants
When did that happen?
It didn't. Computers eliminated some bookkeeper jobs, but by taking away the drudgery, and allowing accountants to focus on higher level tasks like forecasting and planning, it has has made accountants more valuable that ever.
The same thing will likely happen with SDCs. Driving jobs will fade away, but you don't need to use too much imagination to see all the new business opportunities that will open up with cheap ubiquitous transportation of people, goods, and services.
Ho boy (Score:2)
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that driving for a living is going away soon but you'd be amazed how many don't believe that. It's gonna be like when computers decimated junior accountants but without all the new jobs working on computers.
Honestly, I think that AI is going to put Accountants, Lawyers and many other white collar professions out of business long before drivers. Driving is a job that is pretty random, you cant put in an algorithm to predict a kid or dog running out on the road. Hell, we cant even get an algorithm to reliably predict if tomorrow will be rainy or if the A322 will be just slow or at a standstill.
What AI is good at, exceptionally good at is applying rules and rule sets to data. A lot of professions are based on
Here is a question I have... (Score:4, Interesting)
Quoting from the article:
That means there won't have to be a person sitting in the driver's seat, waiting to take over, and that the car's computer system will complete all parts of the driving task -- though for now, only in some of the company's cars in Phoenix, Ariz.
Now: Phoenix, Arizona. Probably one of the driest spots in the USA, and one with nice, straight roads. Hmmm... Is it possible that the Waymo / Alphabet / Googleplex cars are not that good at self-driving?
I mean this seriously: the more I think about it, and the harder it is for me to take the idea of a self-driving car seriously in anything that is not in the southwestern United States.
A self driving car in some parts of Europe would simply be very, very difficult: anyone who has navigated the beautiful little streets of, say, Granada in Spain knows what I am talking about (hint: very narrow). Anyone who has driven in Norway, or any other country in Scandinavia, knows that the weather can be grueling there (Alaska or North Dakota, some parts of Illinois or Wisconsin also come to mind).
All of this to say, a decade into this slef-driving car project, has Waymo been blowing smoke all along? Is the self-driving car vaporware? Discuss.
Re:Here is a question I have... (Score:4, Insightful)
Phoenix, Arizona. Probably one of the driest spots in the USA, and one with nice, straight roads. Hmmm... Is it possible that the Waymo / Alphabet / Googleplex cars are not that good at self-driving?
When you're running code for the first time, do you present it with the most complicated input you can imagine? Maybe if you're really sure of yourself and have little consequence for errors. I start with simple test cases and work my way up. My dad was always fond of telling me to "shoot the cripples first."
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When you're running code for the first time, do you present it with the most complicated input you can imagine?"
That might explains why so much production software is bug-laden shite...
Re:Here is a question I have... (Score:4, Insightful)
What utter nonsense. You start with something that works for the general case. Then you start exploring the edge cases. Writing a test for each potential issue. that's standard Test Driven Development. And standard practice (minus doing the tests first) for every other kind of coder too.
If you are trying to tell me that people deal with the hard cases first, before the general cases, I won't believe you have any experience at all.
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Try studying TDD. What I've told you is exactly the way it works. And if you think you are better than that, you're not.
Re: Here is a question I have... (Score:2)
Yes.
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Actually there's nothing wrong with that and I have too. But only when the consequences of failure are slight or beneficial.
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When developing and testing complex new systems, you try to keep your unknowns and external variables to a minimum (i.e. bad weather, terrible roads and traffic). Once you've established your algorithms work in the simpler cases, you move on to tougher and tougher situations. This is normal, logical development progression. I'm not sure why you'd think it's somehow indicative that cars will *never* be able to handle anything but good weather and traffic.
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I don't need a self-driving car that works in Norway and Spain. I need one that works where I live (Phoenix). Oh hey, look at that, the one from Google seems to fit the bill.
You don't have to solve every corner case to have a useful product.
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I think you're misinterpreting my position.
Exactly why do self-driving cars, especially first-generation cars, have to work under all conditions to be useful or viable products? You're going to need a drivers' license to operate these first-gen vehicles anyhow. Think of self-driving mode as an advanced cruise-control, and I think you'll be closer to the mark than a 100% hands-off vehicle.
My presumption is that the first-gen vehicles will not work well in snowstorms, extreme traffic conditions, or be able
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Early generation autonomous vehicles will undoubtedly still require some amount of human intervention for special cases or tricky navigation. How would your autonomous car, for instance, possibly be able to understand where you want to park inside a multi-story parking garage, especially if you have a ticket for a particular spot? Seriously, it's going to be decades before cars are that smart. Maybe not even then.
In the situation you describe, the car's autonomous systems would kick in during self-drivin
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When developing and testing complex new systems, you try to keep your unknowns and external variables to a minimum (i.e. bad weather, terrible roads and traffic). Once you've established your algorithms work in the simpler cases, you move on to tougher and tougher situations. This is normal, logical development progression. I'm not sure why you'd think it's somehow indicative that cars will *never* be able to handle anything but good weather and traffic.
I'm not sure why you think that the edge cases are solvable without a general AI (which doesn't yet exist).
In any case, this is good news: I'm tired of correcting people who say "SDCs already have a better driving record than humans" when they mean "SDCs with a human to correct them in the driver's seat driving only under perfect conditions have a better driving record than humans under all conditions".
I've been waiting for SDCs that need no human correction. This looks like it might be it.
Illinois fails if they can just do the speed limit (Score:2)
Illinois fails if they can just do the speed limit
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LSD at 55+ is on thing yes 60 is pushing that. But 55 on the tollways is a joke.
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Only 60mph?
Hell...down here we do that through neighborhoods with small children.....
[scoffs]
ON the Hwy I keep it usually pegged between 90-100mph if I'm not in too big a hurry.
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I don't understand why we have driving schools. We don't we just put humans in to the worst possible situation behind the wheel and see how the driver will handle it. Is it possible that the humans are not that good at driving?
I mean this seriously: the more I think about it, and the harder it is for me to take the idea of human driving seriously in anything that is not in the southwestern United States.
Driving a car in some parts of Europe would simply be very, very difficult for humans.
All of this to say,
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Now: Phoenix, Arizona. Probably one of the driest spots in the USA, and one with nice, straight roads.
You forgot to mention: and mostly populated with old people.
If a few oldsters get banged up, what's the harm? They were gonna die soon enough already.
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Deploy in ideal conditions first, increase the complexity gradually.
Sounds like responsible development practice to me.
It does?!?!!??!
I fear you're not being sarcastic. Simplify your task until it can handle the complex and harsh environment of production. Don't expect your environment to be ideal.
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At this very moment (Score:2)
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And given that self-driving cars have cameras pointing in every direction, plus logging of every action they take, these will be the least likely of all cars to suffer from insurance fraudsters.
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If the computer is overloaded it will slow down and if necessary stop. Your bizarre remote control puff balls will be visible on the cameras, same as any other tactic.
Driverless NASCAR (Score:2)
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There already is a self-driving racing format.
https://www.youtube.com/watch?... [youtube.com]
Stop editorializing in the headlines (Score:2)
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what a name (Score:2)
Alphabet better scrounge up "waymo" money once those self-driving cars get loose and the legal actions begin to roll in!
Market Prediction? (Score:2)
Taking out the driver? (Score:2)
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Um yeah.
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hit a button = they are at fault.
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both!
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Then the lower-cost solution is obviously to fix the roads first...
If the solution was that easy, the state wouldn't constantly be asking for more money to fix the roads.
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Then the lower-cost solution is obviously to fix the roads first, then recoup the costs by eliminating the driver expenses after self-driving cars are in operation.
Exactly how would that be lower cost? Lower cost than what?
What expense are you eliminating or recouping? This isn't a closed circuit race track where eliminating the driver could save you the expense of the driver. *I* still need to get somewhere, so I'll be in the car either way. The driverless cars are LESS efficient (the computational power to operate them is quite significant at this time), so there is actually a LOSS of money on energy/gas per mile.
If you're hoping to save money on parking, then excus
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Exactly how would that be lower cost? Lower cost than what?
Better roads plus less expensive AI hardware times a few millions could potentially be cheaper than bad roads plus significantly more expensive and power-hungry AI hardware times a few millions. (We often simplify robots by tweaking their environment, notably in factories, for example.) And taken further, if "self driving cars that can handle the roads in [his] area may just be impossible" is taken as a hard assumption, then the cost differential is not a one-time hardware expense but the operating cost of
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So it's not lower cost at all. You're suggesting that the roads need fixed in order for self driving cars to work, period. To recap, the conversation went:
> > > > Self driving cars that can handle the roads in my area may just be impossible.
> > > Then the lower-cost solution is obviously to fix the roads first, then recoup the costs by eliminating the driver expenses after self-driving cars are in operation.
> > Exactly how would that be lower cost? Lower cost than what?
> (you s
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If you're driving a car, you can't do anything else productive (at least safely or legally). Self-driving cars would free up most of the time you spend commuting for getting work done or entertainment, either of which would be worth significant money.
A group of cooperating self-driving cars could probably use about half of the parking space as human-driven cars by arranging themselves as densely as possible:
You could probably have one driving aisle for every four rows of cars; cars could move themselves as
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Automated cars can, after you arrive at a destination, buzz away to park in a nearby garage rather than right in front of your stop. When they let you off at work, they can head for the recharge plugs in a distant corner of the parking area to spend the day.
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But that (having the car park itself once you get to work) doesn't save money overall. It might save people in cities who drive into the city a few minutes, but it's not going to save anything for most people. The car is still less efficient, and if it needs a fancy garage with automated plugging or inductive charging, that's gotta cost most than a gravel lot.
Again, sure, that's cool, and we all like cool things, but why try to sell it as more than what it is?
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Automated plugging in is a pretty simple problem to solve compared to automated driving. Can always use inductive charging too.
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Can always use inductive charging too.
That's a nice way to recoup the green energy savings by using an electric vehicle... throw them away on lossy inductive charging!
You might be wrong. Just read this today. (Score:2)
End of the Automotive era. Longtime GM executive thinks the car industry as we know it is pretty much doomed. [futurism.com]
This could be be pessimistic. Or optimistic. Depends on how you feel about driving. I used to like it. But with all the distracted drivers and vile traffic in my area I am ready to kiss it goodbye. Forty thousand dead on US roads. Robots couldn't do worse. Heck. Trained bears couldn't do worse.
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Stupid me, I read the article you linked. There is NOTHING in that about being more efficient or lower cost, and certainly not in comparison to driver assisted cars.
I'm not debating whether or not driverless cars will come to fruition; I'm questioning all the (inaccurate) selling points.
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Right. Because your roads are special snowflakes.
Re: Self driving cars are impossible. (Score:2)
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After that they'll only run at 30 MPH.