Many Tesla automated driving sceptics say without lidar, Tesla has a major issue with FSD.
> How do you tell a machine what to do when there is no correct answer?
Why would you expect a machine to be able to handle scenarios that humans cannot handle?
Note: I am sceptical of FSD being available this year, or even in a few year.
Lidar sensors are around $10k and up, and the waymo cars I've seen have many of them.
Additionally, they only sort of say how far away things are, which sort of overlaps with the ultrasonics and radar.
So, maybe the roi on lidar would not be great.
That said, the engineer in me thinks lidar would be a nice add-on (sensor fusion). But it depends on someone actually shipping one of those dirt cheap solid state sensors we see in press releases (but not in real life yet).
That's exactly my point. Isn't that what Tesla is trying to do with FSD? It's trying to train a machine that will have to make ethical decisions.
How do you factor legal liability for a machine in the same way you would with humans in the same scenario e.g fatal accidents?
This is somewhat like the civilian version of AI military drones one day making automatic target selection.
If humans are driving around somewhat successfully without being able to handle all edgecases, as long as the a machine can do as good a job or better it is a viable alternative to human drivers.
Do you hold the owner, manufacturer, or insurer responsible to right the wrongs where an autonomous vehicle is at fault?
I would expect the insurers and manufacturers to use contractual terms that absolves them of all liabilities where the car's occupant isn't paying attention to the road.