At Tesla's Investor Autonomy Day, they laid out their plan for building a self-driving network of robotaxis and made the argument that their computer vision approach is better than LiDAR-based approaches.

Here I take a look at the two strategies and see which one could be the first to create the self-driving car.

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LINKS LINKS LINKS:

CGP Grey on How Machines Learn
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Drago Anguelov, Waymo presentation
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Tesla's Autonomy Day presentation
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Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving:
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