Text 20A12-I
As technology advances, the car industry has developed
new ways to improve user experience. One of these ways
includes using artificial intelligence to make cars self-driving. A
self-driving car (also known as an autonomous car or driverless
car) is a vehicle that uses a different number of sensors, radars,
cameras, and artificial intelligence to travel to destinations
without needing a human driver. Many companies have already
started to manufacture self-driving cars, which are put through
many tests to ensure they are eligible to be on the road without
making any errors. To qualify as fully autonomous, a car must
navigate routes to predetermined destinations without any human
intervention.
Artificial intelligence powers self-driving vehicle
frameworks. Self-driving vehicle engineers utilize a great deal of
information from image recognition systems, AI and neural
networks to assemble frameworks that can drive self-sufficiently.
The neural networks distinguish patterns in the data, which is fed
to the AI calculations. That data include images from cameras for
self-driving vehicles. The neural networks figure out how to
recognize traffic lights, trees, pedestrians, road signs, and
different parts of any random driving environment.
As an example, Google has started to develop self-driving
cars, which use a mix of sensors, light detectors, and other
technology, like GPS and cameras. All the input data are
combined and the artificial system predicts what those objects
might do next. This whole process happens in a matter of
milliseconds. Similar to any human driver, the more experience
these systems gain, the better they become at driving. The more
data it deals with in its deep learning algorithms, the more
choices it will make and the faster those choices will be.
Internet: <www.eescorporation.com> (adapted).