VW invests $2.6B in self-driving startup Argo AI as part of Ford alliance
techcrunch.com
techcrunch.com
The problem of Perception has a long road ahead at any of these companies and Argo is taking a very long position with this funding round. The headcount growth is rather worrisome but other than Aptiv there aren't many fleets that span multiple continents.
Taken out of the argoverse dataset description: - One dataset with 3D tracking annotations for 113 scenes - One dataset with 327,793 interesting vehicle trajectories extracted from over 1000 driving hours - Two high-definition (HD) maps with lane centerlines, traffic direction, ground height, and more
1000 driving hours is ok'ish for research (imho).
Yes, it's certainly not yet clear if the dataset is large enough to capture useful variance. But unlike kitti or cityscapes, it's large enough to present a computational challenge to most of the machines & budgets in research use today, so there's a pretty good chance it'll help push the state of the art... Perhaps for more than one art. The API code itself has a lot of low-hanging fruit: https://github.com/argoai/argoverse-api
nuscenes is good too https://www.nuscenes.org/
Waymo will have one as well some day https://waymo.com/open/
One attractive aspect of these datasets is that they help open up the question of safety for public discussion. For example, now anybody can throw off-the-shelf object detection at these datasets and see what a realistic F1-score looks like for objects at 30m, 50m, 100m, etc...
In argoverse and nuscenes, you have track labels, so you can furthermore factor the velocity difference into how you weigh the error. Have you ever been hit by an Uber? Even 5mph can cause a lot of damage.
Wouldn't it be better to use a simulated environment first. Maybe something using pybullet[1] and a script which maps real world to STL or OBJ files[2]
1. https://pybullet.org/wordpress/ 2. https://github.com/mkagenius/osm2maya
Today's virtual worlds are not accurate enought to allow to develop perception algorithms in simulation. In order to develop sensor fusion, you also need to simulate the output of all sensors including their specific characteristics. Apart from the model quality, there is another challenge: Simulation runtime, which is substantial (!) and - to my best knowledge - not even close to realtime.
If you want to develop driving algorithms that sit on top of the perception stack, then this becomes simpler. You can work on the object level (object being simulated cars, pedestrians, ...) and statistically model perception errors. This is a lot faster, which is e.g. important, if you want to run large-scale reinforcement learning to develop your driving strategy.
In any case, in the future, I would say that we will see a lot more simulation (don't forget, all major players build heavily on simulation - just look into the numbers on how many miles Waymo simulates every day) and potentially going down all the way to the sensing level, because it allows you to develop and especially debug along the whole sense - plan - act stack.
Also, today there exist also hybrid approaches. You take real recordings and abstract them into a simulatable format that you can then, e.g., use to variate and derive artificial scenarios for simulation. This can be used to analyse the influence of different situative paramters on the behavior of a function to pinpoint which parameter(s) caused certain troublesome behavior that have been observed in real drives.
Wouldn't it quickly have negligible returns once it optimizes for the current simulation capabilities? Or are they constantly tweaking both the car model and the simulation data set?
Lol, of course they said that as their entire investment strategy is to throw more dumb money at startups than anyone else can possibly match. Their vision fund VC has been investing $100 billion dollars and they're planning on doing another $100 billion dollar fund. "To put the fund’s magnitude in perspective, its size is almost double the investments made by U.S. venture firms last year. PitchBook data shows that VC fundraising in the U.S. totaled $53.9 billion last year across more than 200 funds, and that was the largest annual raise in at least a decade." [0]
[0]: https://www.cnbc.com/2019/05/17/softbanks-100-billion-vision...
I think the engineers have been probably been wildly optimistic as usual, and the last 5% of car autonomy is going to take as much effort as the first 95%, or maybe double that.
But you know the sort of people who are wildly optimistic and prone to over-exaggeration. Executives like Musk.
Most are optimistic about highway driving in California though.
This may not be true if there is still a fundamental leap to be made
Rather hundreds or thousands of small leaps. For example solving problems like this:
The Munich-based AID team will become Argo’s European headquarters, a move that will expand its staff 40% to more than 700 employees."
AID has been Audi's L4/L5 development arm, which was separate from VW's main research arm. It also helps to judge the size of this deal, because VW only seems to invest one billion in capital and the remaining 1.6 billion investment is AID. It would be interesting to know, how they came up with that valuation ...
Listen to them more. What else do you expect fund managers to say?
We will not see any real self driving in our generation, and may be not even after. That is much more for practical consideration than that of technical possibility.
Second to that, just how many self driving and AI startups are plain fraud? The amount of companies getting 9 digit valuations with nothing more than OpenCV hello worlds should make people to at least scratch their heads
I think we can once we build purposeful infrastructure (think cars "on rails" with mesh-coordinated intersections).
> Second to that, just how many self driving and AI startups are plain fraud? The amount of companies getting 9 digit valuations with nothing more than OpenCV hello worlds should make people to at least scratch their heads
Argo, although lesser known (but still out of early Waymo and CMU's Robotics Institute), is every bit as competitive as the other major players. If anything, they are less bombastic than the Elon Musks of the world falsely tweeting that we would all be taking naps in our cars by last year.
In that way, surely, but you will need to build a purpose built road network for that. Some self driving buses in China work like that.
New, growing cities with centralised planning can afford that, others not so much.
I agree.
But we'll be driven a large percent of trips, in the near future.
There's on-demand shared(few people in a vehicle) riding - which can be quite cheap AND fast. ridewithvia.com seem to scale with that model pretty fast. A combination of that with strong public transport systems and regulations may beat cars.
But also, a combination of partial self-driving(highway, etc), with remote control driving, could work.
Cue up the [0] Porsche 919 vid to show what a human can do in a car...
Enterprise value is indifferent to capital structure. A leverage-sensitive buyer would buy out the high-yielding debt in addition to the equity. Purchasing out of bankruptcy is riskier, in many levels, compared with a negotiated sale.
This is far from being obvious given that the competition is collecting data with much more advanced sensors.
Perhaps naive question from an outsider to the AV world: what does "SAE Level 4-capable SDS" mean?
SDS stands for Self-Driving Service. SAE stands for Society of Automotive Engineers.
https://www.sae.org/news/press-room/2018/12/sae-internationa...
It's a fairly high level of automation. One step below total automation. That is, the system controls all aspects of driving, but there are still situations where it will ask the human driver to take over. However, even if the human doesn't actually take over, the system can still handle it. It's basically capable of dealing with an odd situation, but it's not confident about it.
If the car is able to function even when noone responds to the request for intervention, how is that different from level five? Does it mean that it safely pulls over, where level 3 would just drop control of the vehicle in a dangerous scenario?
Also, does level 5 entail general intelligence, in order to do things like follow the instructions of a traffic cop or parking attendant?
Yes (or just stop - the idea is that it will not crash).
> general intelligence
Your examples would most likely be situations that would be trained for. I doubt that any system in the next few (5-50) years will be able to adopt to a completely new situation as well as a human.
[1] https://www.wired.com/story/elon-musk-tesla-full-self-drivin...
https://bgr.com/2019/07/09/tesla-autopilot-team-elon-musk-sh...
https://electrek.co/2015/12/21/tesla-ceo-elon-musk-drops-pre...
Even if you believe in Musk, he tends to run late so late 2020 seems optimistic. Assuming you are being safety conscious - some idiot will probably do it anyway and post to youtube.
It seems to me that self driving systems could do with an algorithmic breakthrough or two before they work satisfactorily. If you look at the Autonomy event video https://youtu.be/Ucp0TTmvqOE?t=6973 where Karpathy explains how the systems work, the Japanese Spaniel problem a couple of minutes in to that is the kind of thing that needs fixing.
I am not justifying VW's actions, but it's pretty obvious to any critical reader of news articles that VW was just the unlucky one whose head met the chopping block -- so in terms of a single targeted boycott of VW as a consumer, I don't think it makes sense. They still make great cars, despite some bad apples that work there (every company has them -- also see Lenovo / SuperFish).
False equivalency to say all car brands are like VW, which lied and cheated about emissions whilst marketing their product as Clean Diesel, and left their own customers and everyone else on planet Earth holding the bag.
If you don’t believe VWs transgressions were enough to warrant a boycott, that’s a fair point to make. I’m not in the car market so I don’t even have an opinion on it, myself. But to the parent’s credit: they never meant to talk about you benefitting personally. It’s about teaching car makers that actions have consequences. For the greater good.
Put another way: how bad does VW have to mess up before you consider more than your personal benefit?
I don't anthropomorphize companies; they aren't people. They can be economically incentivized or legislatively regulated, but they can't learn.
> Put another way: how bad does VW have to mess up before you consider more than your personal benefit?
There'd have to be some indication that me buying a VW would be contributing to future mess ups.
[1] Toyota to Pay $1.2B for Hiding Deadly ‘Unintended Acceleration’
https://abcnews.go.com/Blotter/toyota-pay-12b-hiding-deadly-...
Every car manufacturer that is building ICE vehicles is damaging the environment. Even though VW fudged some numbers in their report like everybody else did, the fact that there are even cars on the road to begin with is by far the main contributor to global warming, much more than any incremental damage (if any) caused by people who could have been mislead into buying a "clean diesel" vehicle based on sheer (mis-)reporting.
If there was a TDI next to an F-250 on the road, and I asked someone to point to the biggest offender, everyone would point at the F-250. It's really unfortunate to see VW become the scapegoat here in the US (but unfortunately also quite predictable since they are a "foreign" car manufacturer).
I think most normal drivers on a cross country trip need bathroom breaks, lunch/snacks/drinks, leg stretching etc. every 2-3 hours. Great opportunity to plug in and recharge enough for another 2-3 hours. Range anxiety is mostly irrational and mostly a non technical problem as your car probably has more endurance than you.
Everytime I hear this I wonder if the people saying it have ever taken a road trip. Stopping every 2-3 hours for a half hour on a long road trip seems downright crazy to me.
This is beside the point that during the busy season of summer travel there are sometimes extensive lines at gas stations on popular routes. Imagine if every car took 15-45 minutes to fuel up?
Range anxiety is real. EVs are the ultimate commuting cars: known distance, charge at home over night. But for the immediate future, over long distance, gasoline cars are hard to beat.
It seems crazy to you because you haven't done it. It seems perfectly normal and acceptable to people who drive Teslas over long distances. I see people going for lunch, shopping, sightseeing at Superchargers. If you know you'll have to wait 20+ minutes, you just find something to do instead of biting your fingernails.
You'll find out eventually.
Sure, Tesla has pretty good acceleration (other than the roadster, nothing you couldn't get with an ICE). When I was 20 years younger, I might have even cared. Now I am somehow more interested in meaningful comforts and conveniences, and outside of the SV gaggle of kids who thing that being a computer on wheels, with a big screen means that Tesla is a "luxury" car, presenting even Model S as somehow competing with any of the big name luxury brands is just laughable. Hell, even my wife's Hyundai plug-in has things that you can't get in any Tesla. For half the price. Well, but Tesla has fart jokes. I'll take colled seats, thank you very much.
I wouldn't even start with the AP, it's not any better than anybody else's driver assist systems. Except when it drives you into a fire truck or median barrier, of course. Then it could be considered a natural selection tool, I guess /s
FWIW, in the same period I did 2 2000+ mile drives, and a few in 300-500 range, and in all of them I needed to actually get where I was going in some reasonable time. Maybe with stops at some vista points, but those generally do not have superchargers anywhere near. Could I make it in a Tesla? Sure. I could make it in a Leaf probably, too. It would just take significantly more time, and I would need to spend much more time at places that have chargers, and those (just like places with gas stations on the Interstate) usually aren't all that exiting.
For Tesla's target market, people with more money than actual need for a car as a tool, it actually all makes sense and works quite well. But I somehow doubt that this market is large enough to "drive German automakers out of business in 2 years" as some claim here, or even to make a significant dent in ICE car sales, absent some drastic legal or tax pressure.
Still works with everyone I tried. Do you know what really got old something like 7 years ago? The claim that you can't drive long distances in a Tesla. Hansjörg Gemmingen just reported hitting 900000 Km in his Model S (from 2015 I believe) after driving ~50000 Km in 2 months.
> Tesla has pretty good acceleration (other than the roadster, nothing you couldn't get with an ICE)
OK, how much is an ICE that gets the 2.6s 0-100 Km/h of the Model S Performance? And what comfort does it offer?
> FWIW, in the same period I did 2 2000+ mile drives
In 1 day? Impressive. Or we are talking about completely different things.
> But I somehow doubt that this market is large enough to "drive German automakers out of business in 2 years" as some claim here, or even to make a significant dent in ICE car sales, absent some drastic legal or tax pressure.
German newspapers already reported on recent losses by Daimer, BMW and explicitly mentioned EV (and their failing transition) as one reason.
I've never heard anyone say that you can't drive long distance in an electric car. The difference is how long will it take you.
Isn't 2.6 sec 0-60 something you only get with the "ludicrous" upgrade, where it counts how often you actually use it? There are faster ICE cars.
Good God, no, I don't think you can even do 2000 miles in a day (if you ever sleep) while staying even remotely legal. But I did quite a few San Jose to Las Vegas drives in 8 hours. 2000+ were when I first drove my wife's car from San Jose to Austin, which took me 2 days. Bloody thing goes 600+ miles on a tank, which is more than I can take. Could that be done in a Tesla? Sure, but it would take longer and involve planning the trip around chargers even if they were everywhere. Second time I was moving my car, which is technically faster, but has more reasonable mileage, and made two long stops, but only because instead of morning, as planned, left in the evening (apparently if an SV apartment complex says that the rental office is open on a Saturday, it does not mean that anyone will actually be there to give the keys to). It was still much faster than would be possible in anything you need to charge. And somehow all the interesting little spots where I felt like stopping and taking pictures didn't have any Superchargers anywhere near. Nor, often, any gas stations.
Automakers were regularly having losses long before there were any Tesla to blame.
It's pretty clear that ICE will be replaced by something, quite possibly electric, at some point in the future, and they need to prepare for it, but pretending that in 2 years electric cars will be anything but a statistical error in the number of cars sold, let alone that anyone is going out of business over it, is just a load of wishful thinking SV BS.
Then, of course, I just don't understand how anyone can, in a good consciousness, give Elon even a red cent.
Anyway, range anxiety would be justified if it was hard to find a charging point and or if you'd have barely enough range to get to the next charging point. Neither is the case. Your car will tell you how much juice you have left and where you can get some more. Unlike gas stations, charging points are all over the place and not bottle necked on fuel truck deliveries to handful of locations. So, there's no need to queue up to charge.
I don't think this is true. I recently drove 12 hours to Austin, TX and I stopped only once to get gas after 6 hours. I don't really like to waste a bunch of time on stops when I have a destination in mind.
That said, I don't have a family or anything, so I could see how that changes when you have a couple children with you.
I always thought thatd be the endgame. Some standardized battery design where you roll up on top of a station and it swaps the battery underneath the car.
Or maybe this is something your car does for you before arriving. Which eliminates the amount of dead time tens of thousands cars will need to spend while using up expensive property in cities while charging.
https://cleantechnica.com/2018/11/24/nio-builds-battery-swap...
I agree with the rest of your post, but this is completely untrue. No one trying to do serious distance stops every 2-3 hours, and especially not for the 20 minutes for a Tesla 50% supercharge top up. Maybe 10 minutes every 3-4 hours is realistic.
As for charging _fully_ - that's rarely done in practice, because over 80% li-ion batteries charge much slower. Bjørn Nyland recently beat the record[0] for longest distance travelled in an EV in 24h (2781km) by stopping to charge from 10% to 50%, because only then he could use the full power of superchargers.
I don't think this will match your expectations, but this is the best take on what you want I can think of
At some point, you can not improving the range any more by adding more batteries because any gain will be eaten by more rolling resistance.
At some point you will arrive to the point when your vehicle starts to resemble a battery stack with two wheels.
Tech early adopters have bought and most others aren’t interested until the price falls significantly and the reliability becomes something like a civic.
In theory, this should favour the established companies - Tesla doesn't patent their EV advances, and they aren't the only EV player anyway. It should be easier to add EV tech to existing chain than to establish an entire new supply chain. But every established company is very invested in ICE, and has large internal lobbies.
It's interesting to see who gets the better of this - the established car companies' objective advantage or their internal political disadvantage. The recent moves might suggest these established companies are getting their internal politics in order, which should allow them to do EV better.
Tesla can't sell nonexistent cars, and it can't increase capacity to the point of even getting near to taking over the market. The existing companies have more than enough time to fill in demand with their existing EVs - which will 'win' even if only because these models have cars which can be sold, though I wouldn't bet against the other companies having a compelling offer too. With scale profitability will come.
Of course, the existing companies could sleep and lose their chance, but this doesn't seem likely.
(aside) Note that comparison should also include price, and on that scale other EVs are already better. There should be room at the bottom of the market as well.