Your Guide to AI for Self-Driving Cars in 2020
Deep Learning is the foundation
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Self-driving cars, also referred to as autonomous cars, are cars which are capable of driving with little to no human input. A fully self-driving car would be able to drive you from Los Angeles to New York City all on its own while you sit back, relax, and enjoy the smooth ride.
Self-driving cars have been receiving tremendous attention as of late, in large part due to the technological boom of Artificial Intelligence (AI). In just the past few years, AI has gone from being nearly forgotten to becoming the largest Research and Development (R&D) investment of many organizations across the world.
Put simply, AI has given us the ability to automate a lot of manual work that would previously have taken some form of human knowledge or skill. In the case of self-driving cars, AI can help with being the brains of the cars doing things like automatically detecting people and other cars around the vehicle, staying in the lane, switching lanes, and following the GPS to get to the final destination.
So how does all of this work? How are scientists, engineers, and software developers able to program computers to make them drive cars?
