>>> "Public perception and policy-maker overreaction are real concerns, but as a startup, you don’t need to be as concerned"
I don't have any credentials to speak on the subject, but it seems that robotic cars is an area where traditional startup advices along the lines of "move fast" has to be taken very cautiously. I also believe that Google being paranoid about first robotic car killing someone is very much justified. Rightly so.
I don't think Google can take any other approach, so we're agreed. My point is because Google is doing what it is doing, your company doesn't necessarily need to be pushing the regulatory front. This is great, because your small team can focus entirely on building a sufficient quality product to launch.
I'm guessing that a big part of that is the combination of the potential for huge damages, and how big and public Google already is. One nasty accident followed by an ugly, drawn-out lawsuit could cause huge financial and PR damage to them. On the other hand, if you're a small start-up with no reputation to protect and not much capital to lose/go after, then worst case, you don't lose anything more than what's already been put into the single-purpose business.
A market that keeps coming back to me, don't laugh, is self driving RVs. A family of four could go to sleep in Chicago and wake up in Memphis. Spend the day tooling around Memphis, then hit the hay and wake up the next day in Miami.
No hotel costs, food costs could be the same as eating at home, no air fare or air travel hassle.
I suppose you'd have to wake up in the middle of the night to re-fuel, but hey, grab a midnight snack while you're at it.
It'd be the cheapest and safest way to tour a large area.
That's interesting, but by far the largest market is trucks, taxis, and delivery. I don't know why everyone is focusing on consumers when it's basically just a convenience.
And the people who can afford a $500,000 diesel pusher RV can afford the self driving option. Who wants to park a 40' RV anyway? I am sure they would much rather check the $5000 (or even $10,000) dollar option.
I don't think robotic cars will ever happen, and I'll explain why.
Let's look at the recent MetroNorth railroad accident. Immediately afterwards, people were inevitably throwing around the idea of "why do we need train drivers at all?". The reason we need drivers is to satisfy a fundamental human misconception:
A while back, the DC Metro installed an automated train control system, with the intent of making the system independent of human operators. They flipped the trains onto automatic, and for a while everything ran fine. Then, one day, a sensor failed and one train plowed straight into the back of another at full speed while it was sitting in the station. That was the end of automatic train control in DC.[1]
Keep in mind that railroad traffic is a much more controlled environment than the open road.
Everyone knows that people make mistakes. We're (mostly) all engineers here, and we understand that technology is also flawed, like its creators. However, the public at large has this opinion that technology is magic; computers _don't_ make mistakes. The second that belief is proven wrong, people are immediately afraid of it.
Maybe one day a few robot cars will make it onto the road. But then someone is going to get killed by one. And despite these robotic cars having a stellar record up until their first accident, especially when compared to their human-operated counterparts, they will be taken off the road so fast your head will spin.
And if it should happen that a human operator would have likely been able to avoid that fatality? Is it a mistake in all cases to doubt the validity of the premise that humans shouldn't be allowed to drive their own cars?
It is this loss of control which creates skepticism, not magical thinking about the nature of technology. Most people are surrounded by examples of technology not working, they know it's fallible, they would be afraid of autonomous cars for the right reasons - because the intent of autonomous cars is to deny them the ability not to trust technology blindly.
I agree that people think computers are magic and as soon as one fails they get out their pitchforks, but I disagree that automated cars will never happen. It will happen just more slowly.
The changes will be gradual and they have already happened to a degree. Automatic brakes have already been implemented, more expansive GPS is happening. Next I could see an expansion on cruise control.
Its a combo between marketing new features and iterating on current technology.
I think the invention of the automated car will be a gradient, not a sudden occurrence.
The thing is everyone says this. But I have yet to hear one person actually argue that "self-driving cars make mistakes and therefore should be banned". I think it's a strawman.
When the time comes to debate it, everyone is going to make the argument that they are still safer than human drivers. That wasn't true for the train operators.
I do want to build autonomous vehicles, and I have the Ph.D. where I did just that to validate my ability - but, and this is a big but, I don't want to do it in Silicon Valley. There are plenty of excellent American robotics engineers available, but there are even more European, Australian, Japanese, Chinese, etc, who love their lifestyles and would rather work on something slightly less interesting to not have to move. The first hardware/software company that works out how to effectively handle remote teams and prototype hardware is going to dramatically increase their available pool of skilled workers. I for one would jump at the chance to work on something that compelling if I could do so from Sydney or Melbourne instead of California!
Ever since I started working on BarSense, I've been obsessed with computer vision (one of the most important subsets of robotics) and I think there'll be a wealth of products coming from that field.
One of the ideas I have is a type of smart dashcam - take the footage of one or more cameras (ideally 360°), apply CV and give the driver essential real-time info like cyclists or cars coming into the blind spot, sudden changes, lane drifting etc.
The hardware is cheap and easy to work with so the project is small enough for a startup, yet it's also something you can build upon and eventually scale into a full self-driving vehicle.
A guy in my lab did something similar (not 360 degrees) - basically trying to do as much autonomy as possible via a single camera. His work is really great, however he must have spent at least 2 years on building a system to detect and remove rain drops and other distortions from the front window to get results that 'aren't terrible' for night and rainy conditions. All car manufacturers spend weeks out in the desert and up in the cold of alaska to get results against extreme conditions. CV will be no exception. There's a great paper (can't find it at the moment) that gives the problem of crash detection at a stop light. During the day..no problem, but at night, or rainy, or sunset (heavy glare), etc. CV just can't do the job, but what they used instead was a pairing microphone. The sound of a crash was distinct and easy enough to detect that it was a better solution to the problem in most conditions (not all, but more than CV could solve).
I'm a cv researcher, and I love to build and design algorithms with cameras. But saying your system will "eventually scale into a X" should never be uttered lightly, even if you have proof of concept on Y.
Subaru is already doing this.
http://www.subaru.com/engineering/eyesight.html
Some other manufacturers have similar technology. It has to be integrated directly into the vehicle to be of much use.
You know what I would love to see; a zone which is dedicated to ONLY pedestrians AND small robot cars (golf-cart-sized) which one can hop into, give a verbal destination and have it roboticize your ride to that location.
This would be great in, say, an area of Vegas to shuttle people around between casinos.
This is much easier said than done. DARPA moved on because they work to push the edge of research into proof of concepts. A lot of good work has been done to make 'robotic cars' a reality (sqrt-slam, better velodynes, deformable parts model for pedestrian detection, etc), but definitely doesn't mean i would trust a small team of hackers with my safety on the road.
Even the Google team, as much progress as they've made, is like 11-12 people working full time for the last few years to build something worth demonstrating. However, despite their resources and expertise, still have a lot to overcome. In talking with Jiajun Zhu (manager of the Google car team), it became readily apparent that they still encounter situations where they are not fully confident in their system (such as on streets with too much brush/foliage). Given the rocky start (in terms of security, features, and stability) that most start-ups have, i would never trust their finished product.
Also, Google's team (mostly from Carnegie or it's off-shoot teams) has been working on the problem for more than a decade as they took the Stanford car which came from Thrun who came from CM.
The problem to go after initially is best conditions highway driving. Additionally, low-speed (<=20MPH) is reasonable challenge. Where things get tricky is building out a model for medium speed (30 - 40MPH) where there's pedestrians.
> In talking with Jiajun Zhu (manager of the Google car team), it became readily apparent that they still encounter situations where they are fully confident in their system (such as on streets with too much brush/foliage).
Sorry, but did you mean to say that they still encounter situations where they are _not_ fully confident in their system?
I liked this article, and this is only a small point in the context of how interesting the rest of it is, but it would be reckless to say that you need to exceed only 1M driving hours accident free to be better than humans. Of course this would lead to a lower empirical accidents:mile ratio for your new tech, but you still wouldn't have enough data to be confident that your accidents:mile ratio fairly represents the chances of the new tech causing crashes. I'm not well read enough on p-values/confidence intervals/chi-squared tests to explain why, so maybe someone who is can explain this if there's enough interest. Basically someone needs to get all Evan Miller on this (e.g. http://www.evanmiller.org/tesla-fires.html )
The Tesla fire situation makes me the most worried here, because the facts on the ground don't matter. The press ran with the story because it was explosive. So even if you had a much more confident estimate, you think the press is going to grok your math?
The analysis I did was horribly incomplete, as I mentioned. The branding and marketing for the startup is going to matter a lot because of how emotional this whole robotic story can be.
Not only that, but simply testing your system will not provide any sort of safety guarantee. Software errors are not just "show stopping bug" variety, but critical errors in odd corner cases that are not exercised until there's a fatal crash. See the Toyota unintended acceleration discussion: https://news.ycombinator.com/item?id=6636811
There's an entirely different way to write safety critical code that also specifies a process (IEC61508, MISRA C, etc). It isn't a guarantee, but it is required to have any sort of certainty in your system. This is before testing and validation.
Any conversation at all about how to avoid the legal issues/being sued out of existence?
As much as I'd love robot cars to "move fast and break things", making an argument that "well, at least it doesn't kill as many people as teenage drivers" won't fly in court.
He says Google isn't doing it right, then says to limit the product to things like clear lane markings and daylight. But auto manufacturers are already doing this. There are already products for auto-parallel parking and auto-following someone on a freeway and auto-applying breaks when someone is in front of you. I don't think it is a good idea to start your own company when you'd be better off trying to join examples of the two approaches that have much more resources behind them first.
Those technologies are some of the pieces of a self driving car, but they are not self-driving cars. The idea is to deliver a car that can be programmed to drive a route from start to finish under its own control, even if it can only do so under certain circumstances.
When you can pull out your smartphone and call your car to you from the back of a parking lot, then get in and have it drive you home, then you have a self-driving car.
If I was going to enter with a strategy to go against the existing players, and I wanted to be more aggressive, I think I'd go with an fully unmanned autonomous vehicle with deliveries in mind, and design the vehicle to be as un-dangerous to bystanders as possible. You could limit delivery routes to only go in areas you feel confident about, you could do extreme breaking without any annoyance to passengers (who will be awfully annoyed if the car screeches to a halt because of overly conservative danger detection), you can change the form factor of the vehicle to do whatever is best for outward safety.
The downside is that you might not be able to piggyback on existing car regulations. And that could be a big downside.
I wonder if there are going to be local areas where robotic cars will work first, e.g. local areas like the Bay Area. It's hard to imagine lawmakers in 50 states getting to some kind of agreement. On the other hand, the interstate system might go first since it's already more unified.
The other thing I'm hoping for is that people realize that once they hand over the control to a robot they might as well give up individual transportation altogether and board a local robot minibus or whatever system ends up being most efficient.
"you need to make a product people can use as fast as possible."
Isn't this what many car companies already do? You have individual features, such as anti-lock braking (decades old), auto parking, lane departure warning and its improvement lane assist, brake assist, etc that get put into cars that aren't fully robotic yet.
Except for the PR angle, I still don't see what would make Google's approach a fundamentally better one. That may be because of lack of objective evaluations, though. Anybody know of any?
I own a lift kit company www.traxda.com
I want to build self driving trucks.
We are currently making 800-1000 lift kits per month. Lift kits are sold to people who spend a lot of money to have the coolest truck on the block. They would pay $5000 I am sure for self driving. We have manufacturing capacity and distribution.
I want to make the hardware, the actual retrofit kits. I have no skills at software, but my company is very good at making parts to fit truck suspensions.
Please put me in contact with anyone that you know interested in the same field.
I wonder if some sociopath will start a robotic startup that threatened to set back robotic car progress due to recklessness just so Google would buy it in order to shut it down.
The author forgot about the fact that high quality/quantity data comes from good sensors. The cost of the LIDAR sensors (the one google using and this is the one which rotates on top of the car) is pretty high (around $50K AFAIK). This is one of the reasons Google is holding back in the hope that after few years the cost of such sensors would drop dramatically.
Self driving car by just using CV just wouldn't work (atleast with the current state of the art).
Given how incompetent Silicon Valley startups appear to be at important-but-tricky things like data security[0], I'm pretty happy to not have to share the road with robot cars piloted by likes of Snapchat.
We have a forum to discuss open source implementations of robotic cars: http://www.sherecar.org/, we got pretty bogged down with some development we're working on.
[+] [-] askar_yu|12 years ago|reply
I don't have any credentials to speak on the subject, but it seems that robotic cars is an area where traditional startup advices along the lines of "move fast" has to be taken very cautiously. I also believe that Google being paranoid about first robotic car killing someone is very much justified. Rightly so.
[+] [-] ivankirigin|12 years ago|reply
[+] [-] unknown|12 years ago|reply
[deleted]
[+] [-] ufmace|12 years ago|reply
[+] [-] pg|12 years ago|reply
[+] [-] sown|12 years ago|reply
That is, if I get my roomba create to use slam, particle filters, etc, as an engaged spectator, would that be OK?
Even if it's not, I'm doing it anyways. :p
[+] [-] unknown|12 years ago|reply
[deleted]
[+] [-] 11thEarlOfMar|12 years ago|reply
No hotel costs, food costs could be the same as eating at home, no air fare or air travel hassle.
I suppose you'd have to wake up in the middle of the night to re-fuel, but hey, grab a midnight snack while you're at it.
It'd be the cheapest and safest way to tour a large area.
[+] [-] Houshalter|12 years ago|reply
[+] [-] gregpilling|12 years ago|reply
[+] [-] therobot24|12 years ago|reply
This would be a dream - a railroad-esque type journey that is not at the wim of the location of pre-laid tracks
[+] [-] stackcollision|12 years ago|reply
Let's look at the recent MetroNorth railroad accident. Immediately afterwards, people were inevitably throwing around the idea of "why do we need train drivers at all?". The reason we need drivers is to satisfy a fundamental human misconception:
A while back, the DC Metro installed an automated train control system, with the intent of making the system independent of human operators. They flipped the trains onto automatic, and for a while everything ran fine. Then, one day, a sensor failed and one train plowed straight into the back of another at full speed while it was sitting in the station. That was the end of automatic train control in DC.[1]
Keep in mind that railroad traffic is a much more controlled environment than the open road.
Everyone knows that people make mistakes. We're (mostly) all engineers here, and we understand that technology is also flawed, like its creators. However, the public at large has this opinion that technology is magic; computers _don't_ make mistakes. The second that belief is proven wrong, people are immediately afraid of it.
Maybe one day a few robot cars will make it onto the road. But then someone is going to get killed by one. And despite these robotic cars having a stellar record up until their first accident, especially when compared to their human-operated counterparts, they will be taken off the road so fast your head will spin.
[1] http://en.wikipedia.org/wiki/June_2009_Washington_Metro_trai...
[+] [-] krapp|12 years ago|reply
It is this loss of control which creates skepticism, not magical thinking about the nature of technology. Most people are surrounded by examples of technology not working, they know it's fallible, they would be afraid of autonomous cars for the right reasons - because the intent of autonomous cars is to deny them the ability not to trust technology blindly.
[+] [-] tegeek|12 years ago|reply
There is no doubt about that we'll have robotic cars. But when, thats a million dollar question.
[+] [-] jrs99|12 years ago|reply
[+] [-] chuckwnelson|12 years ago|reply
The changes will be gradual and they have already happened to a degree. Automatic brakes have already been implemented, more expansive GPS is happening. Next I could see an expansion on cruise control.
Its a combo between marketing new features and iterating on current technology.
I think the invention of the automated car will be a gradient, not a sudden occurrence.
[+] [-] Houshalter|12 years ago|reply
When the time comes to debate it, everyone is going to make the argument that they are still safer than human drivers. That wasn't true for the train operators.
[+] [-] ivankirigin|12 years ago|reply
[+] [-] Schwolop|12 years ago|reply
[+] [-] TaylorAlexander|12 years ago|reply
[+] [-] sown|12 years ago|reply
[+] [-] martythemaniak|12 years ago|reply
One of the ideas I have is a type of smart dashcam - take the footage of one or more cameras (ideally 360°), apply CV and give the driver essential real-time info like cyclists or cars coming into the blind spot, sudden changes, lane drifting etc.
The hardware is cheap and easy to work with so the project is small enough for a startup, yet it's also something you can build upon and eventually scale into a full self-driving vehicle.
[+] [-] therobot24|12 years ago|reply
A guy in my lab did something similar (not 360 degrees) - basically trying to do as much autonomy as possible via a single camera. His work is really great, however he must have spent at least 2 years on building a system to detect and remove rain drops and other distortions from the front window to get results that 'aren't terrible' for night and rainy conditions. All car manufacturers spend weeks out in the desert and up in the cold of alaska to get results against extreme conditions. CV will be no exception. There's a great paper (can't find it at the moment) that gives the problem of crash detection at a stop light. During the day..no problem, but at night, or rainy, or sunset (heavy glare), etc. CV just can't do the job, but what they used instead was a pairing microphone. The sound of a crash was distinct and easy enough to detect that it was a better solution to the problem in most conditions (not all, but more than CV could solve).
I'm a cv researcher, and I love to build and design algorithms with cameras. But saying your system will "eventually scale into a X" should never be uttered lightly, even if you have proof of concept on Y.
[+] [-] xinxian|12 years ago|reply
Having said that, I do think CV will create tons of novel products (if I only knew which ones)
[+] [-] ah-|12 years ago|reply
[+] [-] nradov|12 years ago|reply
[+] [-] samstave|12 years ago|reply
This would be great in, say, an area of Vegas to shuttle people around between casinos.
[+] [-] dasickis|12 years ago|reply
[+] [-] sharemywin|12 years ago|reply
[+] [-] therobot24|12 years ago|reply
Even the Google team, as much progress as they've made, is like 11-12 people working full time for the last few years to build something worth demonstrating. However, despite their resources and expertise, still have a lot to overcome. In talking with Jiajun Zhu (manager of the Google car team), it became readily apparent that they still encounter situations where they are not fully confident in their system (such as on streets with too much brush/foliage). Given the rocky start (in terms of security, features, and stability) that most start-ups have, i would never trust their finished product.
[+] [-] dasickis|12 years ago|reply
The problem to go after initially is best conditions highway driving. Additionally, low-speed (<=20MPH) is reasonable challenge. Where things get tricky is building out a model for medium speed (30 - 40MPH) where there's pedestrians.
http://www.youtube.com/watch?v=kOSvpPZzGpo
[+] [-] MattHeard|12 years ago|reply
Sorry, but did you mean to say that they still encounter situations where they are _not_ fully confident in their system?
[+] [-] angusb|12 years ago|reply
[+] [-] ivankirigin|12 years ago|reply
The analysis I did was horribly incomplete, as I mentioned. The branding and marketing for the startup is going to matter a lot because of how emotional this whole robotic story can be.
[+] [-] Qworg|12 years ago|reply
There's an entirely different way to write safety critical code that also specifies a process (IEC61508, MISRA C, etc). It isn't a guarantee, but it is required to have any sort of certainty in your system. This is before testing and validation.
[+] [-] Qworg|12 years ago|reply
As much as I'd love robot cars to "move fast and break things", making an argument that "well, at least it doesn't kill as many people as teenage drivers" won't fly in court.
[+] [-] lnanek2|12 years ago|reply
[+] [-] TaylorAlexander|12 years ago|reply
When you can pull out your smartphone and call your car to you from the back of a parking lot, then get in and have it drive you home, then you have a self-driving car.
[+] [-] ianbicking|12 years ago|reply
The downside is that you might not be able to piggyback on existing car regulations. And that could be a big downside.
[+] [-] zwieback|12 years ago|reply
The other thing I'm hoping for is that people realize that once they hand over the control to a robot they might as well give up individual transportation altogether and board a local robot minibus or whatever system ends up being most efficient.
[+] [-] Someone|12 years ago|reply
Isn't this what many car companies already do? You have individual features, such as anti-lock braking (decades old), auto parking, lane departure warning and its improvement lane assist, brake assist, etc that get put into cars that aren't fully robotic yet.
Except for the PR angle, I still don't see what would make Google's approach a fundamentally better one. That may be because of lack of objective evaluations, though. Anybody know of any?
[+] [-] gregpilling|12 years ago|reply
We are currently making 800-1000 lift kits per month. Lift kits are sold to people who spend a lot of money to have the coolest truck on the block. They would pay $5000 I am sure for self driving. We have manufacturing capacity and distribution.
I want to make the hardware, the actual retrofit kits. I have no skills at software, but my company is very good at making parts to fit truck suspensions.
Please put me in contact with anyone that you know interested in the same field.
[+] [-] chrisbennet|12 years ago|reply
[+] [-] truncs|12 years ago|reply
[+] [-] ForHackernews|12 years ago|reply
[0] http://www.nytimes.com/2014/03/03/technology/when-start-ups-...
[+] [-] dasickis|12 years ago|reply
[+] [-] sharemywin|12 years ago|reply
[+] [-] ivankirigin|12 years ago|reply
But yeah, long hauls were made for robots. iRobot's slogan was "dull dirty or dangerous". Dull counts for a lot to replace a human!
[+] [-] dm2|12 years ago|reply
Companies would embrace the technology because the cost of a driver is so high (100k+ per year to pay a driver, benefits, and insurance).
[+] [-] prawn|12 years ago|reply