Deep Understanding Tesla FSD Part 4: Auto Labeling, Simulation
<p>In the previous articles, we discussed how does Tesla makes a car autonomous?</p>
<p><img alt="" src="https://miro.medium.com/v2/resize:fit:700/1*U8yDJrCkIXG1CcZH-uOVFw.png" style="height:399px; width:700px" /></p>
<p><a href="https://www.youtube.com/watch?v=j0z4FweCy4M&t=4733s" rel="noopener ugc nofollow" target="_blank">From Tesla AI Day</a></p>
<p>Up to now, we know that the Tesla AI team has a nearly perfect vision module, Vector Space, many advanced and new AI models, planning, and control systems. In order to train these neural networks in this architecture, the Tesla AI team also needs a large, efficient, and comprehensive data set.</p>
<p>In this article we will talk about: Labeling, Simulation, Scaling Data Generation, AI Compiler & Scheduling, Tools & Evaluations, etc.</p>
<p><a href="https://saneryee-studio.medium.com/deep-understanding-tesla-fsd-part-4-auto-labeling-simulation-60c9bfd3bcb5"><strong>Read More</strong></a></p>