Deep Understanding Tesla FSD Part 2: Vector Space

<p>They developed a system named&nbsp;<em>Occupancy Tracker</em>&nbsp;using C++. This system stitched up the curb detections from the images, that across camera scenes, camera boundaries, and over time. But this design has two problems:</p> <p>Problem1: The across-camera fusion and the tracker are very difficult to write explicitly. Tuning the occupancy tracker and all of its hyperparameters was extremely complicated. Tuning C++ programs by hand is a nightmare for every programmer.</p> <p>Problem2: Image space is not the right output space. You should make predictions in the vector&hellip;</p> <p><a href="https://saneryee-studio.medium.com/deep-understanding-tesla-fsd-part-2-vector-space-2964bfc10b17"><strong>Visit Now</strong></a></p>
Tags: Tesla FSD