If you've got a radar system already in place, "Stealth" is just the ones that don't also pop up on the radar.
Is there a background microwave radiation at shorter wavelengths that could be made into a camera that could see through clouds too? microwave is too long wavelength to make a small camera.
No, in fact this kind of technique absolutely puts a hard limit on the value of "stealth" devices, which are purpose-designed to evade a very specific technology that was a warfare-changing innovation in the 1940's but is now pretty cheaply replaceable by consumer junk.
The days of large manned aircraft are very much numbered, and armies that fail to see that are armies that are destined to lose.
The days of large aircraft are in no way "numbered". In order to have enough range to operate in the Indo-Pacific Theater that requires a lot of fuel, which implies a large aircraft (regardless of whether it's manned or unmanned). And while AI might eventually be effective at controlling combat aircraft, as of today that remains science fiction. So that means you need a person either directly in the combat aircraft, or actively controlling a large "loyal wingman" type drone from within line of sight (to ensure reliable communications in a hostile EW environment).
Aha, better yet, it was invisible! https://dc.fandom.com/wiki/Wonder_Woman%27s_Invisible_Plane
Good look doing that at night or when it's cloudy.
Stealth doesn't mean the aircraft is invisible to radar, it just means it has a very low radar cross section, so you can't detect it from very far away. Fly close enough to an air defense radar, it will reflect enough energy to show up, it's not a black hole. The point of stealth is to make it impractical and uneconomical to build an air defense system with a high enough density of expensive high performance radars to reliably detect the aircraft.
I checked out the code and there is no consideration for camera parameters it seems. It's a neat demo but impractical given the need for precise camera calibration over distance. Long baseline stereo has problems unless you can figure out how to keep the cameras aligned within fractions of a mm over great distances.
What he is doing isn't long-baseline stereo imagery? And clearly is not aligning the cameras: I'm guessing he is ensuring they don't wobble and he is solving the camera orientation outside of the code you can see (maybe using reference objects - sun or daytime moon?).
I enjoyed his ponderings on bird-strike avoidance - maybe commercialisable. The asteroid detection seemed way more farfetched (light gathering is hard).
Sudden spike of git pulls from Ukraine for the repo...
https://www.twz.com/land/thousands-of-networked-microphones-...
I think a neighborhood of Raspberry Pi based cameras networked together could prove quite effective. I wonder if all the installed Ring door cameras could do this in a national security emergency.
I further wonder if it's being done to the US (with the current installed camera base) by China or others.
One small nit: Calling Ray-tracing "Not AI" is like calling Matrix Math "Not AI". It's definitely a core component of a lot Machine Perception (i.e. AI) tasks.
I'm guessing OP meant "Without using any costly CNN or Transformer inferencing", which is actually a clever achievement.
