The movement, focus and light aperture mechanisms of the human eye technologically outstrip this description so ridiculously that I have to assume you're joking. Try designing and building a system that can change heading and focus as rapidly as the human eye, while handling nearly as high a input dynamic lighting range. Not even considering the physical space efficiency and impossibly low power consumption of the human eye relative to to do its job compared to any manmade sensors.
AI discussions often get caught up purely in processing and learning, but the mechanical and sensory systems of humans are also non-trivial to integrate into machines, and not to be underestimated.
>The movement, focus and light aperture mechanisms of the human eye technologically outstrip this description so ridiculously that I have to assume you're joking. Try designing and building a system that can change heading and focus as rapidly as the human eye, while handling nearly as high a input dynamic lighting range. Not even considering the physical space efficiency and impossibly low power consumption of the human eye relative to to do its job compared to any manmade sensors.
and I'm sure the majority of what you described is completely unnecessary for the purposes of self driving cars. I hope you enjoyed the few moments of pointless outrage you had when writing your comment.
The movement, focus and light aperture mechanisms of the human eye technologically outstrip this description so ridiculously that I have to assume you're joking. Try designing and building a system that can change heading and focus as rapidly as the human eye, while handling nearly as high a input dynamic lighting range. Not even considering the physical space efficiency and impossibly low power consumption of the human eye relative to to do its job compared to any manmade sensors.
AI discussions often get caught up purely in processing and learning, but the mechanical and sensory systems of humans are also non-trivial to integrate into machines, and not to be underestimated.