[AlotOfReading]

I didn't even notice the date, thanks. The article presents it as if it was invented at Uber, but there's an identical family of techniques also called "shadow-matching" that have been known in the literature for like a decade. Many companies improve the raw GNSS fix with things like map-matching nowadays, but it was much less common even 5 years ago so this would have been fairly innovative back then.

[g9yuayon]

Uber acquired a startup around 2015. It was that startup that was using shadow-matching and particle filtering to address the problems mentioned in the blog. The startup was founded by a bunch of UCLA PhDs who studied the problems, so I guess they had something innovative.