Tesla FSD Beta has already traveled 35 million miles. The data collected during the use of the function is an important part of improving and expanding the system, which will bring the world closer to autonomous vehicles.
Deep learning systems used for applications such as autonomous driving are developed by training a machine learning model. Typically, the performance of the deep learning system depends at least in part on the quality of the training set used to train the model. To do this, Tesla uses data collected by its fleet of vehicles in which FSD Beta is deployed.
In its Q2 2022 earnings report, the company said that, as of the end of Q2 2022, more than 100,000 Tesla drivers in North America had access to FSD beta. They all did an important job, collecting the necessary data in order to continue to improve FSD Beta. The company said that the cumulative number of miles traveled by its customers continues to grow at an unprecedented rate. The chart shows that they have exceeded 35 million miles, which is a truly impressive feat. This represents an amount that is more than other companies have ridden, combined.
“As of the end of Q2-2022, over 100,000 Tesla drivers in North America had access to FSD Beta. Cumulative miles driven by our customers using City Streets supervised autonomy continue to grow at an unprecedented scale. Fleet data is an important part of improving and expanding the system.”
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