https://github.com/commaai/openpilot
No ability to deliver?
In general, are there any standardized tests for self driving cars, like car safety ratings but for the driving part? Basically, is there even a way to measure how good a driving system is?
In addition to us, we have a community of users on slack with thousands of miles of experience with each system. I think most would generally agree with the quality assessment. You'll also find a bunch of YouTube videos comparing them.
>> Not really. It's mostly subjective.
No. The quality of a safety-critical system is not subjective.
>> I think most would generally agree with the quality assessment.
You are not qualified to make that claim, and neither are your users.
Unlike crash safety, crash and burn, topple etc, there are no open tests or third party certifications that can verify that car model X is subjectively this safe and passes this scenarios.
The big cos are notoriously secretive and throwing a lot of marketing money to create hype.
I’m just glad that certain states have allowed such cars to be tested on the streets.
We have to start somewhere.
I still consider geohot too egotistical in his approach, and that it will not bear fruits. That big commercial companies are pulling bad tricks is one thing but that doesn't mean one lone motivated (and talented) wolf can reach the goal.
Try to poach some waymo guys or some robotics to team up.
I think they are very capable. Maybe their tech is not ready now, but who knows in 2-5 years where they will be.
[0] https://www.theverge.com/2016/4/18/11454858/george-hotz-self...
I believe the only way out of the security pit is to double down on rigorous physics and not rapid ML
So far what we see about Tesla and the likes is that they jumped early on the ML fad as very naive feedback loops on basic car controls (estimate lanes -> center the car. estimate obstacle distance -> adapt speed). It's not physics first.
And the requirement is not just braking action, like with a railroad crossing it is active avoidance.
https://www.pge.com/en_US/safety/electrical-safety/what-to-d...
My point is - corner cases like these tend to create "IF" statements in a "pure physics model" that is used for decision making under uncertainty. And engineering such models without "ML fad" is difficult.
Meanwhile there are a few of these: https://www.youtube.com/watch?v=3HrN12WG-2Q
> Hotz has been teasing a $1,000 after-market kit called Comma One that would let customers transform their dumb cars into smart, self-driving ones. But after a sternly worded letter from the US National Highway Traffic Safety Administration last year, Hotz abandoned those plans
http://www.reuters.com/article/us-selfdriving-safety-idUSKCN...
Sounds like you have a nice demo in a controlled known environment. It's a far way off the promise made previously about building a self driving car, a claim which is now being retracted. Best of luck turning it into a product. Watch out for those edge cases.
Do as you wish.
edit: correction. out of your project we are probably having more hackers that understand at least some aspect of the problem - you still might be doing something very useful.
We aren't trying to help big automotive companies, they are our competition. We are trying to disrupt them.
Car companies, even luxury brands like MB, BMW, and Audi are akin to cell phone companies running Symbian, Windows Mobile, Palm OS, and Symbian before the iPhone came along.
Now we have innovators like Tesla and open source DIY stuff from comma.ai which can churn out great tech in a very short amount of time, without the need for getting a new year model vehicle.