Powerful sensors and software have made autonomous vehicles aware of their surroundings. For obstacles, pedestrians and other cars, the artificial intelligence of the vehicle needs to be guarded against. By expanding the sensor technology into the entire vehicle and using depth perception cameras, we will capture the interior of the car and find out how many people and their size and situation. From this we can infer their activities.
The car knows how many passengers there are, where they are and what they are doing. In an emergency, the car will know how long it takes the driver to drive. If the child in the back seat slides out of his seat belt and the mother and father are napping (having the privilege of driving by themselves), they can issue warnings. In the event of a collision, the car can be guided, the airbag deployed, or it can be adjusted to the size or location of the passenger.
Of course, these things can be done with existing technologies, such as weight sensors. But more and better understanding is still a worthwhile goal for autonomous vehicles. Work progress to identify various actions, common objects, and understanding of a person as a far-reaching visor, or installing child seats.
So far, the camera is only installed on the driving simulator, but the plan is to turn it into reality.
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