Tesla’s Neural Network For Autopilot And SelfDriving


This is an excerpt of the article that was recollected from flipboard, as to generate a clip of interesting news from the topics that i think are important and I want to save for further references and share with my readers.

Tesla Autopilot And SelfDriving

The concerns surrounding Tesla stem from the fact that it already has the tech employed in its cars, albeit in beta form. The Autopilot section of Tesla’s website explains the technology via several categories, including hardware, neural networks, autonomy algorithms, code foundation, and evaluation infrastructure.
Even more interesting is the latest video, which is embedded in the tweet below.«
 

The above video is also shown on Tesla’s website, along with the section on neural networks. According to Tesla:

“Our per-camera networks analyze raw images to perform semantic segmentation, object detection and monocular depth estimation. Our birds-eye-view networks take video from all cameras to output the road layout, static infrastructure and 3D objects directly in the top-down view. Our networks learn from the most complicated and diverse scenarios in the world, iteratively sourced from our fleet of nearly 1M vehicles in real time. A full build of Autopilot neural networks involves 48 networks that take 70,000 GPU hours to train. Together, they output 1,000 distinct tensors (predictions) at each timestep.”

Read the full article by Steven Loveday

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