How Tesla’s Self-Driving Cars Navigate the Road with Machine Learning

“The whole road system is made for biological neural nets and eyes. …In order to solve for full self-driving, we have to solve neural nets and cameras to a degree of capability that is on par with or really exceeds humans.”

“And I think we will achieve that this year,” Musk said.

The car world is changing big time, and Tesla is at the forefront of making cars that can drive themselves! But how does it all work? Well, it’s not just fancy car stuff — it’s like a bunch of really smart computer programs working together. Let’s dive in and see how Tesla is using these smart programs, called machine learning algorithms, to make their cars drive on their own.

1. Autopilot: Starting the Journey

Imagine your car having its own set of eyes and ears — that’s Tesla’s Autopilot! It uses cameras, radar, and other cool sensors to know what’s happening around the car. All these sensors gather lots of information, and this information becomes the building blocks for the smart machine learning stuff.