4 ms·

> Cars really don’t need to identify what something is just it’s location and movement which is a vastly easier problem. A trash can rolling down the street can

by jowday 5y ago

> Cars really don’t need to identify what something is just it’s location and movement which is a vastly easier problem. A trash can rolling down the street can be treated just like an oil drum doing the same thing etc. You’d think that, until you encounter something like a turn restriction sign with a bizarre conditional restriction that it’s never seen before. At which point the car needs to OCR the text, parse the semantic meaning, and apply to the scene.

Retric 5y ago
Or treat that turn restriction as applying 100% of the time.
- jowday 5y ago
  And now we’re already making concessions about the car’s abilities. There are 10 MPH speed limit signs on Market Street in SF that specify in incredibly small text “when behind trolleys”. Assuming we take your approach, the car will just always go down market at 10 MPH. Imagine if it’s a negative turn restriction - IE, it’s permitting turns except for during certain hours and conditions. Now the car is treating it as always permitted and turning into traffic. An edge case, but something it’s going to encounter in the real world.
  - Retric 5y ago
    And now your moving the goalposts. We are talking extreme edge cases in some random small town not common signs in a major city. They can always get updates on what some random sign in some random location means as long as their safe and don’t block traffic that’s all that’s needed. Also, negative restrictions can again default to full restrictions. Permitting a car to say park in a snow lane doesn’t require a car to park in the snow lane.
    - jowday 5y ago
      I don’t think I’m moving the goalposts - we were discussing whether autonomous driving (which I take to mean L4-L5 driving without the need for a human in the loop) is possible without geofences or HD maps. “Edge cases in some random small town” are exactly the sort of thing you need to worry about without a geofence. Not to mention these sorts of edge cases are way more common in large cities than small towns - one of the examples I gave was down a central avenue in San Francisco. >They can always get updates on what some random sign in some random location means as long as their safe and don’t block traffic that’s all that’s needed. What if it truly fails to parse the sign accurately and does something illegal or dangerous? What does sending an update out look like? Does a human take a look at a crop of the sign and review it? Why not just map it in that case?
      - Retric 5y ago
        > edge cases are way more common It’s not a question of parsing a known sign, even extremely complex rules can be encoded. Further that process can take place from a photo of the sign uploaded by the car to then be encoded by the rules. The general case is stopping and having a remote driver slowly tell the car what to do. An unknown sign in a place without cellphone reception is about the only case where it really need to just figure it out on it’s own rather than simply avoid causing an accident. > What if it truly fails to parse a sign accurately and does something illegal or dangerous? Not much, people regularly disobey traffic signs especially ones with complex instructions. Don’t hit stuff or jump in front of another car is generally enough.
        jowday 5y ago
        > Further that process can take place from a photo of the sign uploaded by the car to then be encoded by the rules. The general case is stopping and having a remote driver slowly tell the car what to do. So you’re now agreeing that you need some level of remote support to handle edge cases like this? >An unknown sign in a place without cellphone reception is about the only case where it really need to just figure it out on it’s own rather than simply avoid causing an accident. Yes, and again, this is the sort of thing you actually need to worry about when trying to come up with generalized self driving solution. > Not much, people regularly disobey traffic signs especially ones with complex instructions. Don’t hit stuff or jump in front of another car is generally enough. What if it misinterprets a one way sign at night when there’s no other signal that it’s turning on to a one way lane and it suddenly finds itself traveling opposite the direction of traffic for a long period before encountering another car? You have to consider all of these edge cases when talking about a generalized solution. Maybe you still disagree with me in sprit, but do you see how when we really look at edge cases how you have to fall back to some level of remote operation or mapping?
FireBeyond 5y ago
Right by my house I have a four lane (on one side) intersection with a traffic signal. Each of the lanes goes straight ahead. However, each lane has its own traffic light, and when the traffic light rotation is in that direction, it alternates the two left most straight lanes red while the right most are green, and then switches (because very shortly after the intersection there is a quick lane reduction to two lanes). I can't imagine how AI would _correctly_ see four straight arrowed lights in front of it in the intersection, some of which are red, some are green. Humans of course recognize that they correlate to the lanes, but this is a more esoteric case for AI to assimilate.

by jowday 5y ago

Retric 5y ago

Or treat that turn restriction as applying 100% of the time.

jowday 5y ago
And now we’re already making concessions about the car’s abilities. There are 10 MPH speed limit signs on Market Street in SF that specify in incredibly small text “when behind trolleys”. Assuming we take your approach, the car will just always go down market at 10 MPH. Imagine if it’s a negative turn restriction - IE, it’s permitting turns except for during certain hours and conditions. Now the car is treating it as always permitted and turning into traffic. An edge case, but something it’s going to encounter in the real world.
- Retric 5y ago
  And now your moving the goalposts. We are talking extreme edge cases in some random small town not common signs in a major city. They can always get updates on what some random sign in some random location means as long as their safe and don’t block traffic that’s all that’s needed. Also, negative restrictions can again default to full restrictions. Permitting a car to say park in a snow lane doesn’t require a car to park in the snow lane.
  - jowday 5y ago
    I don’t think I’m moving the goalposts - we were discussing whether autonomous driving (which I take to mean L4-L5 driving without the need for a human in the loop) is possible without geofences or HD maps. “Edge cases in some random small town” are exactly the sort of thing you need to worry about without a geofence. Not to mention these sorts of edge cases are way more common in large cities than small towns - one of the examples I gave was down a central avenue in San Francisco. >They can always get updates on what some random sign in some random location means as long as their safe and don’t block traffic that’s all that’s needed. What if it truly fails to parse the sign accurately and does something illegal or dangerous? What does sending an update out look like? Does a human take a look at a crop of the sign and review it? Why not just map it in that case?
    - Retric 5y ago
      > edge cases are way more common It’s not a question of parsing a known sign, even extremely complex rules can be encoded. Further that process can take place from a photo of the sign uploaded by the car to then be encoded by the rules. The general case is stopping and having a remote driver slowly tell the car what to do. An unknown sign in a place without cellphone reception is about the only case where it really need to just figure it out on it’s own rather than simply avoid causing an accident. > What if it truly fails to parse a sign accurately and does something illegal or dangerous? Not much, people regularly disobey traffic signs especially ones with complex instructions. Don’t hit stuff or jump in front of another car is generally enough.
      - jowday 5y ago
        > Further that process can take place from a photo of the sign uploaded by the car to then be encoded by the rules. The general case is stopping and having a remote driver slowly tell the car what to do. So you’re now agreeing that you need some level of remote support to handle edge cases like this? >An unknown sign in a place without cellphone reception is about the only case where it really need to just figure it out on it’s own rather than simply avoid causing an accident. Yes, and again, this is the sort of thing you actually need to worry about when trying to come up with generalized self driving solution. > Not much, people regularly disobey traffic signs especially ones with complex instructions. Don’t hit stuff or jump in front of another car is generally enough. What if it misinterprets a one way sign at night when there’s no other signal that it’s turning on to a one way lane and it suddenly finds itself traveling opposite the direction of traffic for a long period before encountering another car? You have to consider all of these edge cases when talking about a generalized solution. Maybe you still disagree with me in sprit, but do you see how when we really look at edge cases how you have to fall back to some level of remote operation or mapping?

FireBeyond 5y ago

Right by my house I have a four lane (on one side) intersection with a traffic signal. Each of the lanes goes straight ahead. However, each lane has its own traffic light, and when the traffic light rotation is in that direction, it alternates the two left most straight lanes red while the right most are green, and then switches (because very shortly after the intersection there is a quick lane reduction to two lanes). I can't imagine how AI would _correctly_ see four straight arrowed lights in front of it in the intersection, some of which are red, some are green. Humans of course recognize that they correlate to the lanes, but this is a more esoteric case for AI to assimilate.