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Google's Self-Driving Car Can't Navigate Heavy Rain or Most Roads
- anthony_franco 12y ago“First they ignore you, then they ridicule you, then they fight you, and then you win.” I guess this means we're moving into the 'ridicule' phase.
- marak830 12y agoExactly what i was thinking. The article seemed to me as needless bashing, thr priduct isnt on the market, its still in developement. How scared of google is the author?
- bsdetector 12y agoOr maybe the author heard Google hype like 'no steering wheel' and 'no accidents in 700k miles', did the reporter thing of doing research and found out that it's as close to a streetcar as a fully driverless car, and wrote a story on it.
- magicalist 12y agoAnd by "research", you mean the reporter read the Technology Review article...
- marak830 12y agoId expect a longer article if research was involved to be honest.
- hosay123 12y agohttp://i.imgur.com/IfuyZAj.png http://i.imgur.com/IfuyZAj.png
- amirmc 12y agoWhere in the article is it being ridiculed? I read it as a dose of reality, which useful to provide some perspective on the challenges that remain (that many people are probably not even aware of). The original article might be of interest. http://www.technologyreview.com/news/530276/hidden-obstacles-for-googles-self-driving-cars/ http://www.technologyreview.com/news/530276/hidden-obstacles...
- anthony_franco 12y agoFocusing on the 99% of roads Google cars don't serve is unnecessarily ridiculing the technology, in my view. Alternatively, had the article said that 99% of US work commutes can't yet be served by Google cars, then it's something to mention. But the 1% of roads that Google cars cover could very well be enough for the majority of US commutes (assuming it were to cover most metropolitan areas). It's as if someone saying cellphones aren't yet ready for primetime since they don't work over most of the world's surface area. It may be true but irrelevant for the average consumer.
- witty_username 12y agoThe real question is whether Google's self-driving car is better (it doesn't have to be perfect) than humans in heavy rain (humans also have difficulties in heavy rain).
- melling 12y agoNo, the real question is can it drive in heavy rain. I've seen humans do it.
- jfoster 12y agoWhen humans do it, are they just taking a risk that the autonomous car could take, but won't?
- tatterdemalion 12y agoThat seems like it might be an overgenerous treatment of autonomous vehicles' (current) risk evaluation. The article reads like humans are making the determination that the vehicle can't drive in the rain, not the machines.
- jfoster 12y agoWhat I mean is that the autonomous vehicles probably just get very noisy signals in the rain. Isn't that also what happens to humans driving cars in heavy rain? The rain limits long-range visibility, fog limits short-range visibility, wet road increases stopping distance, and yet humans think it is safe to drive at regular speed limits. Perhaps humans are (for now) better equipped to deal with those very noisy signals, but my point is that it's also dangerous for humans to drive in heavy rain.
- jfim 12y agoIt really depends what is meant by heavy rain. Heavy enough rain, snow or fog has zero visibility (significantly less than 100m), in which the only option is to stop the car on the shoulder and wait until the weather conditions improve.
- melling 12y agoWould it be possible for someone to just address the complaints in the article? "While Google's fleet has safely driven more than 700,000 miles, the autonomous model relies so heavily on maps and detailed data that it can't yet drive itself in 99 percent of the country, according to an MIT Technology Review report."
- DanBC 12y agohttp://www.technologyreview.com/news/530276/hidden-obstacles-for-googles-self-driving-cars/ http://www.technologyreview.com/news/530276/hidden-obstacles... > Google often leaves the impression that, as a Google executive once wrote, the cars can “drive anywhere a car can legally drive.” However, that’s true only if intricate preparations have been made beforehand, with the car’s exact route, including driveways, extensively mapped. Data from multiple passes by a special sensor vehicle must later be pored over, meter by meter, by both computers and humans. It’s vastly more effort than what’s needed for Google Maps.
- MisterBastahrd 12y agoWe'd still be banging rocks together for fire if we quit every time we developed a technology that wasn't sufficient for production in its earliest stages.
- siliconc0w 12y agoEven if it can't it still can be incredibly valuable in a lot of climates where it operates well most of the time(ie most of California at this point). Most people don't travel very far and where they do is probably well mapped. Google could solve a small percentage of the problem and still win.
- justincormack 12y agoIt makes the cars worth less, if people were going to purchase rather than rent them, if they cannot be used for all journeys. If they are going to be rental only it matters less.
- amirmc 12y agoFrom the source: "Data from multiple passes by a special sensor vehicle must later be pored over, meter by meter, by both computers and humans. It’s vastly more effort than what’s needed for Google Maps." In other words, the mapping required is very specific and doesn't exist. Current maps don't help.
- asuffield 12y agoI took a couple of other things away from that: "We know how to make these maps, we just haven't made them yet" "We can still see ways to improve this process"
- amirmc 12y agoI think the goal would be not to need those special maps at all. (In the long run). In any case, no-one is disputing that driverless cars are coming. Just reminding the over-zealous that there are real obstacles to overcome.
- thaumasiotes 12y agoHuh? In the long run, having the maps is trivially easy. Roads aren't naturally occurring. If they can be helpful (which seems certain, since human navigators also rely heavily on having the area they're driving through memorized), why wouldn't we use them?
- julianpye 12y agoThe key question is what competitors have as technology. I don't know about the Japanese manufacturers, but in Germany Audi and VW have been heavily working on self-driving and assistive technology for the last decade and only incorporated communication technology at a later point (I was working at Vodafone R&D then and our team participated in joint tests starting six years ago). It is safe to assume that Google's approach was comms and data-first, car-physics secondary, while the manufacturers approach is the other way round with a focus on mechanics and physics.
- peteretep 12y agoGoogle acquiring a car company would be an interesting move
- Zolomon 12y agoThe Swedish SAAB was for sale[1] not long ago if I recall correctly. [1] http://en.wikipedia.org/wiki/Saab_Automobile#Spyker.2FSwedish_Automobile_.282010.E2.80.932011.29 http://en.wikipedia.org/wiki/Saab_Automobile#Spyker.2FSwedis...
- DanBC 12y agoI love the "road train" ideas some manufacturers are doing. Here's one video but there are enty of others. https://youtube.com/watch?v=tQnVGOoVvVk https://youtube.com/watch?v=tQnVGOoVvVk
- amirmc 12y agoFor people who think this is some kind of 'hit piece' on Google cars, please go read the original source, where a lot of the information comes from the director of the google car project. http://www.technologyreview.com/news/530276/hidden-obstacles-for-googles-self-driving-cars/ http://www.technologyreview.com/news/530276/hidden-obstacles...
- Hermel 12y agoAll self-driving technology I am aware of is based on visual input (cameras, lasers, etc.). I'm not sure self-driving cars can get as good as human drivers without any audio input. Noises are an extremely important source of information, especially in critical situations. I guess that a startup focusing on converting audio input into 3D-data (e.g. "truck approaching from behind") could become very valuable.
- tatterdemalion 12y agoWhat are examples of situations in which audio input provides relevant information that 360 degree video input doesn't? Humans rely on hearing because our visual arc is only about ~120 degrees.
- DanBC 12y agoEmergency vehicles with sirens.
- tatterdemalion 12y agoThis is a good point, though ultimately emergency vehicles would also be automated and would signal to the other automated cars electronically.
- deleted 12y ago[deleted]
- oneweekwonder 12y agoThe pitch of the brakes and honking of the horn. For the truck from behind, can maybe notify the computer the trucks brakes are failing. Yes, the 360 would see the truck, but it won't notice the honking so it can not be aware that the truck is trying to "tell" it something.
- tuananh 12y agothere might be dead angle.
- 12y ago
- magicalist 12y agoThis is just blog spam regurgitation of the only slightly longer (but at least actually original research) Technology Review article from a few days ago: http://www.technologyreview.com/news/530276/hidden-obstacles-for-googles-self-driving-cars/ http://www.technologyreview.com/news/530276/hidden-obstacles...
- timedoctor 12y agoI bet these blog spammers are making a LOT of money as that was really hard to detect.
- pron 12y agoplans to develop a temporary brake and steering wheel system for its fleet of test cars How do you tell an autonomous car exactly where to park or at what exact spot in a parking lot to pick up a friend without a steering wheel?
- sujal 12y agoDoes anyone remember that awful Schwarzenegger movie, the Sixth Day? It seems like the cars could work like the ones from the movie at the current stage. Basically they take over for the long, boring part of the ride and then hand control over for the trickier local bits. That way, when I make the long trip to my parents' house or my in laws, for example, I can hand over control for the parts where I might get tired, distracted by my son, etc. That capability would be a huge win for me.
- amirmc 12y agoThat's a great interim step but ultimately people still have to learn to drive. There may even be an increase in risk as you become less skilled at the things you don't do very often (when the car hands you control, the cognitive load could be overwhelming). It'll be great when we can do away with the need for learning how to drive at all.
- jahooma 12y agoThe common sentiment has been that self-driving cars are just around the corner. The reality is quite different. The remaining problems to solve such as navigating the elements or obeying construction signs or interacting properly with pedestrians or police are orders of magnitude more difficult than the problems that have been solved thus far. These problems are fundamentally different in that they can't be solved by current AI techniques and vision algorithms. The progress made so far has been quick, but it relies on technology that Google has already mastered. We'd be mistaken to think that the remaining challenges will be solved as easily. It's a repeat of the classic mistake that has plagued the field of AI since the beginning: we underestimate the difficulty of problems that humans solve easily. We simply aren't aware of the incredible complexity involved in our simplest decisions, such as pulling over to allow an ambulance to pass. This is simple right? Just slow down and move off to the side of the road. But when is it OK to move off to the side -- what if there is something in the way, what if a pedestrian didn't expect you to move there, what if the car behind you suddenly gets in the way while it's pulling over, what if you're on a bridge, what if the ambulance behind you turned already and no one expects your car to suddenly pull over? Similar or more difficult problems arise when there's debris or potholes in the road, other poor drivers, bad weather, jaywalkers, policemen giving orders, road work, detours, etc. What you find is that the last 5 or 10 percent of the capability required to make self-driving cars feasible represents a category of problems which we don't know how to solve, requiring a level of sophistication far beyond the current state of the art and perhaps approaching general intelligence in some cases (such as interpreting signs). Better approaches involve shooting for more modest goals instead of full autonomy. Car companies are making investments in these more practical, incremental improvements, like automated parking and advanced cruise control. But unlike car companies, Google isn't in this game because it thinks it can make a profitable and successful product. Instead, it's obvious that the main function of developing self-driving cars is as a PR tool (and the same goes for the rest of the Google-X projects). Google has gotten a lot of positive press for their self-driving cars, and they even use it to attract new employees. However, I predict this positive press won't last (this article being an early example) because people's expectations are way too high. As years and years go by without much progress, Google's self-driving cars will increasingly become a PR liability and will be compared to the promised flying cars of yesteryear.
- dang 12y agoA dupe of https://news.ycombinator.com/item?id=8235880 https://news.ycombinator.com/item?id=8235880.