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News, Analysis & Perspective on Autonomous Vehicles

Parallel Domain says autonomous driving won’t scale without synthetic data

Achieving autonomous driving safely requires near endless hours of training software on every situation that could possibly arise before putting a vehicle on the road. Historically, autonomy companies have collected hordes of real-world data with which to train their algorithms, but it’s impossible to train a system how to handle edge cases based on real-world data alone. Not only that, but it’s time-consuming to even collect, sort and label all that data in the first place.

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