5 ms·

There is another one: https://www.youtube.com/watch?v=KEaJW-Mk0Bo https://www.youtube.com/watch?v=KEaJW-Mk0Bo

danso 9y ago
Same driver just posted a new video, this time during the day, in which AP behaves correctly: https://www.youtube.com/watch?v=bkDsozA1Pb8 https://www.youtube.com/watch?v=bkDsozA1Pb8
- gregoriol 9y ago
  That's the scary and also dangerous part: the behavior might be ok at some point, and might fail at another point. Tesla's (and NTSB) investigations will likely find out what went wrong in this particular accident and on this part of the road, and likely will improve the systems. But users are certainly not enough aware of that kind of risk: they might try the Autopilot, see that it works, and trust that if it worked, it will work again and again and again... On a daily commute for example, if it worked many days in a row, and then fails for some reason (technical, external, whatever), the user will likely fail to notice.
  - unityByFreedom 9y ago
    > On a daily commute for example, if it worked many days in a row, and then fails for some reason (technical, external, whatever), the user will likely fail to notice Yup. This is why I won't get into a self-driving car until they're fully driverless. Drivers become less attentive as the system gets better.
- GoToRO 9y ago
  During the day there is a black gap clearly visible. During the night I imagine that black line just disappears.
- rohit2412 9y ago
  Since nobody noticed it, it failed with a AP2 car in night time, and succeeded with a AP1 car in daytime
lamecicle 9y ago
That is waaay too close for no one to be screaming in the car! I don't understand how the Tesla couldn't see the centre barrier but it can detect when a crash is about it happen, can someone explain that?
- lazyjones 9y ago
  > I don't understand how the Tesla couldn't see the centre barrier but it can detect when a crash is about it happen, can someone explain that? AFAIK the AP focuses more on moving targets for collision avoidance, stationary objects are harder because there's so many of them you'll never hit since they're above or next to the road, but that's hard to tell until they're very close (can't see where the road leads to 100m away).
  - Piskvorrr 9y ago
    That's the very definition of "you're driving way too fast (and if that's your only detection method, you shouldn't be on the road)".
- avree 9y ago
  It can't detect when a crash is about to happen. The driver manually pushes the brakes there. I have only worked tangentially with self-driving systems but in general they are very bad at dealing with stationary objects - this is why it can't see the center barrier. This article describes the reason why radar and stationary objects don't mix: https://www.wired.com/story/tesla-autopilot-why-crash-radar/ https://www.wired.com/story/tesla-autopilot-why-crash-radar/
  - amelius 9y ago
    How far ahead can LiDAR detect stationary objects? Will there be enough time on a highway to brake or steer away from suddenly appearing obstacles?
    - unityByFreedom 9y ago
vosbert 9y ago
Better quality video of the same video: https://www.youtube.com/watch?v=6QCF8tVqM3I https://www.youtube.com/watch?v=6QCF8tVqM3I

Same driver just posted a new video, this time during the day, in which AP behaves correctly: https://www.youtube.com/watch?v=bkDsozA1Pb8 https://www.youtube.com/watch?v=bkDsozA1Pb8

gregoriol 9y ago
That's the scary and also dangerous part: the behavior might be ok at some point, and might fail at another point. Tesla's (and NTSB) investigations will likely find out what went wrong in this particular accident and on this part of the road, and likely will improve the systems. But users are certainly not enough aware of that kind of risk: they might try the Autopilot, see that it works, and trust that if it worked, it will work again and again and again... On a daily commute for example, if it worked many days in a row, and then fails for some reason (technical, external, whatever), the user will likely fail to notice.
- unityByFreedom 9y ago
  > On a daily commute for example, if it worked many days in a row, and then fails for some reason (technical, external, whatever), the user will likely fail to notice Yup. This is why I won't get into a self-driving car until they're fully driverless. Drivers become less attentive as the system gets better.
GoToRO 9y ago
During the day there is a black gap clearly visible. During the night I imagine that black line just disappears.
rohit2412 9y ago
Since nobody noticed it, it failed with a AP2 car in night time, and succeeded with a AP1 car in daytime

lamecicle 9y ago

That is waaay too close for no one to be screaming in the car! I don't understand how the Tesla couldn't see the centre barrier but it can detect when a crash is about it happen, can someone explain that?

lazyjones 9y ago
> I don't understand how the Tesla couldn't see the centre barrier but it can detect when a crash is about it happen, can someone explain that? AFAIK the AP focuses more on moving targets for collision avoidance, stationary objects are harder because there's so many of them you'll never hit since they're above or next to the road, but that's hard to tell until they're very close (can't see where the road leads to 100m away).
- Piskvorrr 9y ago
  That's the very definition of "you're driving way too fast (and if that's your only detection method, you shouldn't be on the road)".
avree 9y ago
It can't detect when a crash is about to happen. The driver manually pushes the brakes there. I have only worked tangentially with self-driving systems but in general they are very bad at dealing with stationary objects - this is why it can't see the center barrier. This article describes the reason why radar and stationary objects don't mix: https://www.wired.com/story/tesla-autopilot-why-crash-radar/ https://www.wired.com/story/tesla-autopilot-why-crash-radar/
- amelius 9y ago
  How far ahead can LiDAR detect stationary objects? Will there be enough time on a highway to brake or steer away from suddenly appearing obstacles?
  - unityByFreedom 9y ago

vosbert 9y ago

Better quality video of the same video: https://www.youtube.com/watch?v=6QCF8tVqM3I https://www.youtube.com/watch?v=6QCF8tVqM3I