Hacker News new | ask | show | jobs
by Alupis 618 days ago
It means the cameras can be fooled by things LIDAR cannot be. Such as smoke, glare, reflections, optical illusions/mirage, etc.

If the algorithms are fed with incorrect data, they will produce incorrect results - such as driving full-speed into a parked, white colored, semi-truck.
1 comments
bmicraft 617 days ago
And lidar can't tell the difference between a plastic bag and a rock, what's your point?
link
Alupis 616 days ago
One can (and has been) fooled into thinking there is no object in the path - the other might be extra sensitive to any object in it's path.

I'll let you stew on that one for a minute...

link
bmicraft 616 days ago
> I'll let you stew on that one for a minute...

Then that means the vision processing isn't far along yet to be viable for a car. There is no fundamental reason why it couldn't work though. With either stereoscopic vision or more temporal processing you could obviously detect when things are only painted on a wall surface, with both there really is no excuse to still fail except limited processing power.

link