I think it's taking as many pictures as possible and using very slightly different angle to get as good resolution as possible with as little noise as possible (I have no idea if that's really what's happening here)
That's not what this article says, do you have reason to believe it's incorrect? The quote about object detection in the parent post came from the article.
I'm sure the first step is taking many sharper short exposure shots (as opposed to longer exposures, which blur), then doing some tensor magic to stitch into a single image.
Object detection alone won't give you sharp text in low light. You need a minimum number of photons hitting pixels.
From the article:
> Although it’s not one single long exposure, Google’s night mode still gathers light over a period of a few seconds, and anything moving through the frame in that time will turn into a blur of motion.
Right, but it's up to them how to process information coming in during these few seconds. Without a tripod it would be just a big blur without separating data into some frames. I don't think optical stabilization would be enough for such long exposures.