Self-driving cars that use deep neural networks to improve lane detection and stereo matching accuracy

March 28, 2018 | Case Study

Ford Motor Company, as well as the rest of the automotive industry, is scrambling to catch up with disruptive outsiders like Google and Tesla on self-driving cars. The company looks to gradually transition its current vehicles fully driven by humans towards increasing levels of driver assist, with the end-goal of eventually having fully autonomous vehicles that require no driver involvement. Although that ultimate goal likely remains more than a decade away, Ford and others have been making aggressive moves already. For example, Ford has committed to investing more than $1 billion over the course of five years into a start-up called Argo AI that brings expertise in deep learning, robotics, and more. 

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