New GM Cruise Self-Driving Video Shows More Mastery of SF Roads
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Looking at the 2016 California DMV disengagement reports, Cruise is at 181 disengages in 9,776 miles of testing in California for 2016. This can be compared crudely to Waymo's 124 disengages in 635,868 miles for 2016.
Waymo's operation is 2 orders of magnitude more advanced than Cruise, but in terms of video demos, we haven't seen much of the environments Waymo's cars are capable of navigating. Waymo has only revealed their cars driving on suburban roads, it seems only Cruise is tackling hectic downtown driving head-on.
GM, with their Lyft partnership and Orion assembly plant is, I think, in a great position to deploy early fast with 1st gen robotaxis.
> Waymo is 2 orders of magnitude more advanced than Cruise
Not to say that Waymo isn't ahead, but if you look at a graph of Cruise's disengagements vs miles over time, they experienced a rapid improvement. By November of 2016 they were at about 2.6/1000 miles. Better than the total would show, but still an order worse than Waymo though.
We also have a lot of single track roads with passing places. This also requires a lot of non-verbal communication between drivers.
Are there any videos of self driving cars attempting this sort of road?
I've never driven in Malta, but if I'm ever there, I'll be sure to try driving.
Generally, the car closest to the nearest spot suitable for passing just reverses to that spot. The other car passes, and they both go on their merry way. Very little in the way of communication required.
Also its sometimes not just who is nearest who reverses back - sometimes things like corners, size of vehicle, if anyone has a trailer come into the decision making.
Of all the places I've driven, I've found Scotland (Perthshire and into the Highlands in particular) to be the most sane. Polite, little drama, and most follow the rules to a T.
I have no idea how a Automated Vehicle would handle this - the humans had to engage in a lot of negotiations if they came into situations in which both cars were approaching each other - particularly if they had cars behind them.
But then there's the extra rule that on some roads if you meet a "car postal" (bus service run by the Post Office) it gets to decide what you do :)
Generally we look at each other. We make an immediate judgement on who is the better person at reversing and where the last passing spot was. Then one person will reverse while the other thanks him.her profusely.
So, quick rule:
1. The man reverses.
2. If two men meet, the man with the shittier car reverses
3. The younger 'boy racer' will reverse and show off their superior skills.
This gets super complex when two busses meet, both generally have a line of traffic behind. This is when people have to get out and talk. Ugh, this is the worst. Fuck busses.
I suppose this is some sort of game theory, as both partied want to pass as soon as possible. Neither wants to go out of their way too much. They will both come across this situation many times so are pretty much resigned to it happening and that some of the time they will have to reverse. Anyone who doesn't like this will drive to a better road and take a much longer route.
https://www.google.co.uk/maps/@50.2513013,-5.2627719,3a,75y,...
Sorry for the huge URL, but as you can see it is a two lane road where one lane is blocked by parked cars. To negotiate this you drive past a few parked cars then pull into a space. You can't necessarily see a space to pull in, but if the car that is trying to pass you stops you can assume it has stopped in a place that will let you past. There is often a lot of reversing and swearing.
You can see this clearly ... in the distance is a blue car, the driver has noticed that the Google car is coming towards it and has decided not to enter the narrow section until the google car has exited it. Some people will do this, others (as the blue car has priority over the google car) will drive on, making the google car pull into on of those gaps on the left. If there is no gap, google car must reverse and find a gap.
If you drive around 30mph on average, and hit 100,000 miles after 6 years, your car has spent over 90% of its life parked somewhere.
Many people, including me, were critical of the acquisition; acquiring an year-old company barely having any technological breakthrough for a billion dollars sounded like a folly. Slowly, it has become clear that the impetus behind the deal wasn't necessarily acquiring the technology but bring an ardent person on board who can accelerate GM's self-driving efforts. I have a feeling this deal would cast itself as one of the pivotal moments in the company's history.
https://www.tesla.com/en_AU/blog/upgrading-autopilot-seeing-...
Is it likely just using some image recognition and a confidence level to determine when it is safe to go?
If so, could the system be fooled by a sign that is meant to always look like a red light? Or worse, a green light to trick the system to run a red?
I doubt it. It's not even clear that it shouldn't treat a painted green dot like a green light.
Perhaps the most concerning thing is that someone could create a nefarious image that's not obviously nefarious to humans. I mean, we've all seen the very slight adjustments required to trick state-of-the-art image classification systems into thinking a cat is really a crocodile.
(This could help human drivers too; just add a red/yellow/green light to the car dashboard for those times when you can't see the actual light because there's a big truck in the way, or the sun is directly behind the traffic signal.)
I also expect that by the time this sees near-universal adoption, we'll already have the image recognition corner cases mostly worked out.
[1] http://www.theverge.com/2016/12/12/13923254/audi-v2i-las-veg...
Ought to be maintenance free and a nice way for the big trucking lines to differentiate their public face - similar to those aero ground effects that are showing up on trailers.
e.g., stand in hi-vis at an intersection holding a "Slow" sign regardless of the red light above.
I swear to good the city of San Francisco could car less about this issue. I've gotten to the point where I look for the painted STOP on the road, rather than the stop sign.
I assume either the computer could recognize the painted letters on the road (they are often in bad shape) or the GPS would inform the computer that a stop sign exists? So it doesn't have to look for it?
0 - http://extremepowersportssa.com/google-self-driving-car-proj...
California Highway Patrol guidelines: http://lanesplittingislegal.com/assets/docs/CHP-lane-splitti...
The reason lane sharing is legal in California is because there is not a prohibition against multiple vehicles in the same lane adjacent to each other. The other states, one presumes (since we know it's only legal in CA), specify that vehicles may not drive side-by-side in the same lane.
I'm not sure what CA law has to say about riding between lanes (or, probably more accurately, occupying 2 lanes at the same time which would be what you were doing if your wheels were going right down the line), but all this business is why we call it lane SHARING; in theory, any time spent on the white line is during a lane change (properly signalled, of course, except for those who want to point out that CA state law is pretty vague on whether you even need to signal a lane change).
So the fact that the CHP guideline calls it splitting does nothing to change the legality of splitting versus sharing.
But the motorcycle community typically prefers to call it lane sharing, as that's the circumstance under which it's definitely legal (assuming you are not breaking any other laws at the same time).
And yes, I saw a demo from Google a number of years ago where the car very gracefully handled a motorcycle lane sharing past it.
https://leginfo.legislature.ca.gov/faces/billTextClient.xhtm...
Anecdotally, I'd heard of motorcyclists cited for violating the CA Vehicle Code if they occupy two lanes: "Existing law requires ... that a vehicle be driven as nearly as practical entirely within a single lane and not be moved from the lane until the movement can be made with reasonable safety."
This resulted in the semantic distinction. It's not illegal for two vehicles to share a lane. It is illegal (and still is) to drive in two lanes or to drive "between" the lanes.
I've been riding for decades and didn't know about this change. I wonder how long it will take the cagers to figure it out. Hopefully the autonomous software does first!
If you don't ride, you see everything as lane splitting. If you ride, you damn sure know the difference between lane sharing and riding the dots.
There's jargon and terms that cagers just don't get. (Example)
As a customer I'll still be happy with multiple choices driving prices down and offering a better service than buses and taxis.
God I hate buses in the US. Public transport is very broken.
Maybe in the short run.
Jan 2017 EV sales:[1]
Chevy Volt: 1611
Toyota Prius Prime: 1366
Chevy Bolt: 1182
Tesla Model S: 900
Nissan Leaf: 772
Tesla Model X: 750
The Bolt has only been shipping since late December. That's just getting started.There are more people who can afford Chevy than Tesla.
Tesla hasn't demonstrated that they can manufacture cheaply, they have promised and we are still waiting. GM might not have a luxury electric package, but they know how from their experience in building Cadillac. Tesla not in the dealerships is a problem. GM manufactures outside of the country and has about 30 factories. They can build and sell electric car outside. Tesla doesn't, building, shipping & custom fees increases price of car a lot.
I'm not convinced that Tesla will win this battle if all variables remain the same. They need to move faster to have a chance.
Of course, comparing sales of Chevy's and Toyota's mostly low-end lineup to Tesla's luxury offerings is pretty odd anyway. At the moment it seems pretty TBD.
(I also maintain that including cars like the Volt and Prius in the same category as the Bolt and Model S doesn't make much sense. You may as well compare the Bolt and Model S to all gas-powered cars if you're going to include those gas-powered cars in the mix — it's equally unenlightening.)
As an aside, I think you're slightly misunderstanding that statistic. If I do a 60-mile round trip directly away from my house and back, 66% of those miles are within 20 miles of home even though the trip isn't anywhere near 20 miles in total. If I drive 15 miles away from my house and then drive a a semi-circle for 80 miles, all of those are within 20 miles of home.
I suppose I'd probably notice if I was a semi-engaged driver, but not as much if I considered myself "just a passenger" in an autonomous vehicle. It looks like barely more than 30s elapses there.
Just because it took it's time to navigate the problem it doesn't mean the decision was wrong. If you're in a rush you could easily take over the auto-drive feature. But otherwise let it auto drive in cautious mode for 99% of the time.
It's moments like that one that can change your outlook on life in an instant. That was four years ago and I haven't intentionally broken the speed limit since then. Even if it means other impatient drivers are zooming around me. I have, however, been rear-ended twice since then.
Wait, so you already saw someone be seriously injured, and since then, you've caused two other accidents (which are a danger to you too), and you're still going with "I'll drive the speed limit and not drive with the flow of traffic?"
smh
Drive with the flow of traffic: save lives.
It's not my fault other drivers don't expect me to follow the law.
I've never been a very aggressive driver, but I've dialed it back even more when I noticed I'd generally meet the people who overtook me in a huff a few miles down the line. Shit's not worth the stress or the fuel burn.
Here's what I wonder about the future. Is there a point in which consolidation will take place in the auto industry as a result of superior self-driving performance and capabilities? Meaning -- can the value created by self-driving software be more of a factor than the other existing assets of a GM, Ford, Chrysler, Toyota, etc?
And before it hits commodity state, what if Waymo's Chrysler minivans and GM's Chevrolets are far superior self-drivers than say, BMWs & Mercedes? How much does that alter the demand curve?
I expect premium car brands to charge more for the same self-driving technology, though, as at least in the short term self-driving capability will be sold as an expensive extra.
I think the commodity stage will be hit two years after the first truly self-driving cars are sold. So it shouldn't give one brand a lasting advantage.
but overall I feel those premium brands will have very tough times - most of their added value is in driving experience (for example what BMW delivers in ie 3-sedans is a wonderful experience) and this will be removed. not that many people feel the need to pay premium for something that will feel like a commercial airliner, travelling will be race to the bottom costwise.
I think BMW's added value is in comfort and prestige. People buy a BMW because they can afford it and other people can see that they have one. The ride is smooth, the interior is nice, it has good sound insulation, etc. A small fraction buys them because they are fun to drive. BMW makes luxury sedans, not sports cars. The top of the luxury sedan market is not Ferrari but RR and Bentley where people literally buy the car and pay someone else to drive it.
Haha it will be the first time in history for BMWs to be driven in safe responsible fashion...
If we're really concerned about making driving safer, this seems like a good compromise until we get to broadly available (and affordable) L4.
Well, they are. Lane departure warnings, auto braking, self parking are all incremental automation/assistive technologies that have been rolling out slowly and will continue to.
Advertising stuff now is a kind of marketing aimed at hiring and in building enthusiasm for a company like GM that as seen as a has been (not picking on GM, they are simply the topic of this article!).
I think your real question is, "why aren't I seeing these features on current model year cars?" It's about the structure of the car industry. For example, when I worked with <car company X> on brake-by-wire in 1996 it was for the 2004 model year. They had a team with functional steer by wire -- I still haven't seen it in production! This is a combination of historical industry practice, a focus on safety, and regulatory constraints. A mixture of good and bad.
Or as 3rd party modules which can be installed by a moderately competent mechanic.
And while yes, some of these are being offered, they are far from freely available and affordable - two things which would seem to me to be important for full blown automation.
Or am I thinking of someone else?
Infinity has steer-by-wire in production now.
After driving around in Montana today, I'd love for something to be able to tell me with a high degree of confidence if that's really water or ice on the road. Or what speed that car in front of me is going - have they decided it's ice and are driving 30mph slower than I am? Or is that car disappearing into my blind spot going to merge right into me?
The answers were, mostly water (thankfully, see 2 and 3), yes they do think its ice, and yes, he is going to.
Jarvis telling me to slow down when the surrounding traffic is going 75 would not be useful, and would (if followed) make me more prone to be hit or cause other accidents.
Instead, what I want Jarvis to tell me is "this car <highlighted in a HUD> is going 30mph slower than you." This is useful, actionable data that a vision or radar system could provide.
They need reminders to check blind spots. They haven't built up experience in picking out subtle signs from other drivers.
Unfortunately, a car that turns off the cruise control, asks you to recenter the car in the lane or increase the distance with the car ahead wouldn't sell that well, as people would consider it defective.
Years back when Google started testing its cars it gave their employees the chance to use their very preliminary technology during their commute. They made it explicitly clear that the driver still had to be ready to take absolute control of the car at any moment but what they found was that their employees were doing the absolutely the opposite: playing on their phones, reaching into the back seat, etc. That's why Waymo has been adamant that they'll only release their tech when it's 100% ready.
> [...]People often argue that such assistance systems need to be supervised by the driver. This makes sense for assistance systems that operate for a few seconds or minutes (such as a parking assistant) but it can not work for systems that drive continuously. Humans are not capable to maintain the state of alert for hours and hours which would be required to immediately counteract possible deficiencies of a driver-assistance system or to take over from it in a split-second.
> We can only entrust the driving task to a driver assistance system when we are sure that this system can handle all situations which arise suddenly and require immediate reaction. This means that driver assistance systems operating continuously on a highway need to be able to cope with rare situations including pedestrians and bicyclists on the highway (they do appear sometimes on highways), accidents unfolding, animals, sudden rainfall etc. Gradual evolution of such systems is impossible; they need to be extremely capable from the first day on which they are put into operation.
A downside of having stop signs at almost every corner is that drivers seem to forget how to drive in areas without them. They assume that if they approach an intersection without a stop sign then they can drive through it at full speed, instead of looking for cross traffic and pedestrians.
Everybody else is reporting orders of magnitude more disconnects per mile.
[1] http://blog.caranddriver.com/in-the-self-driving-race-waymo-...
Of course someone could make the argument that excessive braking is dangerous, but honestly, the shit I see drivers do behind the wheel of their car weekly (eating, texting, putting on makeup, shaving), I'd prefer excessive braking over any of that.
[1] https://www.dmv.ca.gov/portal/wcm/connect/4a39c1b9-ca1f-4184... [2] https://www.dmv.ca.gov/portal/wcm/connect/69feb1fa-ff90-4b7a...
It's roughly analogous to doing the speed limit in the left lane.
At some point the vehicles will have to talk to each other anyway (ie. car-to-car network), so we might as well formalize it.
Head north over the Golden Gate Bridge, immediately losing cell service. Decide at that time (no cell service) to make a stop at the Nike missile launch site, passing through the long single-lane tunnel w/o crashing into an oncoming car. Head back to 101, continue north, driving through 3 trees: Chandelier Tree, Shrine Tree, Klamath Tree. Yes, actually drive through each tree. Go back south to Redwood National Park, and then head east on Bald Hills Road, half of which is a gravel road. Pass through Hoopa. Make an unscheduled stop at the overlook to the original Hoopa campsite. Head to Weaverville, pass by the trailhead to Mount Lassen, then to Reno and on to Lee Vining. Stop at Mono Lake, in the dirt "parking lot", for one of the canoe trip tours. Head back north to Topaz Lake, then head west down US 4. Try not to get run off the 1.5-lane road by a logging truck. Head to San Jose and then north up to SF, neatly avoiding the bridge tolls.
For bonus points, do this when the state mandates snow chains for Lassen and/or US 4.
If anything that will be easier for the AI. People are the hard part. Fewer people around = easier.
If the AI is tasked with "go there" in deep snow, sand or whatever, it'll do better than your average person because your average person has no idea how to drive on anything but clear pavement whereas the guys writing the code are gonna get the input of experts as well as a bunch of testing and refinement.
Snow is tough. You have to infer where the road is from hints like mailboxes, trees, the occasional plant, and tracks left by other cars. In that area, sometimes you get poles that are installed to guide the snow plow operators, but there are seldom any curbs. This is a really tough machine vision problem, with things like lane markings and even road width needing to be inferred. Visibility distance can be severely reduced due to falling snow, and headlights will make it glint back at you. It is important to predict slipping before it happens, lest you slide off a cliff.
Of course, we combine the two. You must predict when other drivers are at risk of sliding into you, then avoid being there at that time. For example, a driver descends a hill on a road that intersects your road, and he faces a 2-way stop sign. You are free to proceed right through because you don't have a stop sign, but this could be a fatal move.
We're at least 5-7 years away from them testing in these conditions.
http://www.dailymail.co.uk/sciencetech/article-3399315/The-d...
I'll revise my 5-7 year comment then - I think it will this amount of time (if not more) for these autonomous vehicles to move beyond testing (prod) in winter climates.
Driving on the interstate in a snow storm with semi trucks is no joke - there might actually be a threshold in which pulling over is the best option.
Can you create a "normalized" image (hardware- or software-wise) that is independent of the time of day? Is that what you mean by "night-vision" and "modifier"?
I would still imagine that certain light conditions (i.e. just around sunset) could make things difficult.
Would be interesting if anyone knows how they handle this.
I'm sure there are light conditions that it can't handle, but there are so many fallback systems that it doesn't have to rely simply on visual data.
Hmm... seems a tad dangerous to me. What if the sign is changed, or two signs are almost in identical position?
I suppose it will be ok if the pre-mapped version is used, whenever a confident visual prediction cannot be made (e.g. due to light, mud, bullet holes, or whatever).
Would also be interesting to hear what the other teams do, but I only remember seeing videos in daylight so far.
Somehow I completely overlooked this issue in the past.
There doesn't seem to be any reason driver-less cars have to be electric, but if big companies pushed the tech onto electric cars it'd be a nice way to speed up their adoption and infrastructure for them.
It's not like the software isn't portable or that GM has any aversion to building electric if market conditions are favorable.
If you have a self driving fleet (eg. Lyft, Uber, GM, etc.), you'd want to optimize for the former, not the latter. Uber has proved that if you can get a car within a couple of minutes at a low enough price, it's a valid enough substitute to car ownership, at least in cities.