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As vehicles become autonomous, drivers will become passengers.
Because it is autonomous, drivers could read, have teleconferences or sleep while being driven around in them.
Nevada and California have already begun issuing autonomous drivers' licenses and creating some regulations.
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The first one is called "Integrated Human Modelling and Simulation to support Human Error Risk Analysis of Partially Autonomous Driver Assistance Systems (ISi-PADAS)" [3].
In this paper, a research project to develop a nonintrusive and autonomous driver drowsiness system based on Computer Vision and Artificial Intelligence has been presented.
If we can assume that drivers are all selfish and would always default to the action that contains the least risk for them, wouldn't we just replicate that in the autonomous driver model?
As automotive transport is one of the most important means of transportation in the modern world there is considerable interest in the advancement of both driver assistance systems, in order to improve both driving efficiency and safety, and the potential for autonomous driver-less vehicles.
Such services create an affordable way for people to "experience" being shuttled around by an autonomous driver.
Autonomous, driver-less vehicles zip through the city, moving people to their destinations based upon simple voice commands.
Note that this model is a derivative of cognitive psychology, adapted for the purposes of the autonomous driver.
LiDAR's cost has been a limiting factor in seeing it applied more broadly as part of semi-autonomous driver assistance systems and fully autonomous cars targeting future production.
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