What do you mean? All the inputs are continuous: light sensors, LIDAR, infra-red, inputs from mechanical sensors from the driver. Sure, the sensor package's hardware/firmware/software converts these to discrete inputs before it reaches the Driving AI, but all of the Buridan's Paradox results still apply to those sensor packages. They can't perform their tasks in a finite amount of time -- either they will sometimes fail to make a decision at all, or they will render an invalid output (e.g. rather than outputting voltage corresponding to logical 0 or 1, they will go into a meta-stable or astable output mode that is not a valid output voltage).