merrington
> Until very recently, autonomous drones took twice as long as those piloted by humans to fly through a racetrack, unless they relied on an external position-tracking system to precisely control their trajectories. Swift, however, reacts in real time to the data collected by an onboard camera, like the one used by human racers. Its integrated inertial measurement unit measures acceleration and speed while an artificial neural network uses data from the camera to localize the drone in space and detect the gates along the racetrack. This information is fed to a control unit, also based on a deep neural network that chooses the best action to finish the circuit as fast as possible.
And here's a video that seems to have been uploaded today - https://www.youtube.com/watch?v=fBiataDpGIo
Also, if you continue to RTFA,
> That said, I didn’t want to mislead people. So we chose to be clear to them that there is a technical term; it’s just not going to be important for the rest of the content.
If it's someone job to provide reports/updates on something related to the concept, yes they should know it, for anyone else in a non-technical role, why does it really matter?