The Self-Driving Problem and the Build a Car Problem

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Aurora developed advanced simulation software that could repeatedly test the AI in extreme situations. By partnering with others in the auto, transport and tech industries, Aurora could get access to increasingly large pools of real-world data. But driving millions of miles isn't very practical, even for artificial drivers. It's going to be hard of the toolkit, but we're going to have to invest in simulation.

To complete an audacious journey, you need to set short, achievable goals — or waypoints — to avoid getting wildly lost. But waypoints also need to be flexible because when you're knocked off track, you need to be able to realign your waypoints to get back on course. Aurora's Chris Urmson shares how he keeps returning to short, flexible waypoints on his daunting journey to make autonomous vehicles part of our everyday lives.

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