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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
by Alupis 2y 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.
- bmicraft 2y agoAnd lidar can't tell the difference between a plastic bag and a rock, what's your point?
- Alupis 2y agoOne 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...
- bmicraft 2y 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.