Question

question 18 of 25
how does a self - driving car interpret visual data by using artificial
intelligence?
a. the computer breaks down images from cameras on the car into
the different elements that make up the images.

b. the computer sends signals to the programmer, alerting them to
steer the car using remote control.

c. the computer receives notifications from the programmer, who is
tracking the car from a distance.

d. the computer accesses a global database filled with visual data
and then downloads and sorts the data.

Explanation:

To determine the correct answer, we analyze each option:

• Option A: Self - driving cars use AI (like computer vision) to break down camera images into elements (e.g., roads, objects) for interpretation. This aligns with how they process visual data.
• Option B: Self - driving cars are autonomous and don't rely on a programmer for remote - control steering signals for visual data interpretation.
• Option C: Self - driving cars don't need notifications from a programmer at a distance to interpret visual data; they are designed to be autonomous in data processing.
• Option D: Self - driving cars process real - time camera data, not just download and sort from a global database.

Answer:

A. The computer breaks down images from cameras on the car into the different elements that make up the images.