Peter Ludwig: recommendation

Transcript context

…Yeah. You’ve not mentioned hardware at all, like sensors or obviously we you mentioned you don’t do chips. I think even in AV there’s, like, a big, cameras versus lidars. Like, what are, like, in your space maybe some of those design decisions that you made, and are they driven by the OEM’s ability to put things on the machinery? And like, how much influence do you guys have on co-designing those? Yeah. So we don’t make sensors. Like, we’re, we’re not a manufacturer. Obviously, we use a lot of sensors in our autonomy products. in terms of what actually goes on the vehicles, we have a preferred set of sensors that we, let’s say fully support, and then our customers, they can sort of choose from those. And obviously if there’s a very strong opinion on supporting something else, we’ll add that to the platform as well. And the lidar question is at this point sort of the age-old, topic in autonomy, and the state of the industry right now is lidar is hands down a useful sensor, specifically for data collection and the R&D phase of autonomy development. if you see, for example, a Tesla R&D vehicle, it actually has lidar on it to this day, right? In the Bay Area we see these. you’ll see, like, Model Ys or Cybercab that have lidars on them just driving around. So it’s, it’s useful because it gives you per pixel depth information. So if you can pair a lidar with a camerand you can say that, well, this camera’s looking this direction, this lidar’s looking this direction, and now for each pixel of the camera I can see how far away is that pixel. you can actually then use that as a part of your model training, and then the that depth information then becomes a learned, a learned state of the camera data. And then when you’re doing the production system, you can now remove the lidar and now you can actually get depth with just the camera. And so that difference between, like, a highly sensored R&D vehicle and then the down-costed production vehicle, we use that across our whole portfolio of products. And of course the end goal is you want super low cost and super reliable. And then in certain use cases you have some more, bespoke things. Like in defense as an example, you do things at night oftentimes, and so you care about sensors like infrared, more so than And you don’t, you don’t wanna be putting energy out, so you don’t wanna use lidar or radar. but you still need to be able to see at nighttime. So yeah, we work the whole gamut. Cool. So that’s kinda like on the hardware level. Then on the OS level, how does that look like? What is, like, unique? my drive- I drive a Tesla. Whenever I drive some other car that has a screen, it always sucks. It’s on, like, cheap Android tablet. It’s like, it’s laggy and all of that. What does the OS of, like, the autonomy future look like?…

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