Wednesday, May 8, 2019

How Do Self-Driving Cars Make Decisions?

Self-driving cars see the world using sensors. But how do they make sense of all that data? The key is perception, the industry’s term for the ability, while driving, to process and identify road data — from street signs to pedestrians to surrounding traffic. With the power of AI, driverless vehicles can recognize and react to their environment in real time, allowing them to safely navigate.

They accomplish this using an array of algorithms known as deep neural networks, or DNNs. Rather than requiring a manually written set of rules for the car to follow, such as “stop if you see red,” DNNs enable vehicles to learn how to navigate the world on their own using sensor data.