Back when Elon Musk was running Tesla, he was known for saying that LiDAR technology (basically laser beams that measure distances) was not needed to create full self-driving cars. And that's why their cars instead use a bunch of cameras to monitor the outside world.

Now, I'm not an engineer, but this never made much sense to me. Cameras can only see so far and they certainly can't see at night. So wouldn't laser sensing technology that can see 250-500 meters out — including at night — be greatly preferable when it comes to human safety, even if it costs more?

I'm reminded of what I said to my eye doctor before getting laser eye surgery many years ago: "This is not a transaction where I'm looking to be price sensitive. Get me the absolute best." And that's exactly how I feel when it comes to self-driving cars. I don't care if cameras are pretty good most of the time; I would prefer to have the best.

So which is the best? Damned if I know, but here's an interesting and also hilarious video by YouTuber and engineer Mark Rober where he compares the two technologies: cameras (i.e. Tesla) vs. LiDAR. I won't spoil it for all of you, but his last test is the "Wile E. Coyote test" and it's awesome.

At the time of writing this post, the video already has more than 11 million views and it seems to have been incredibly helpful to Luminar's stock price: