A regular radar is like a microphone in a buzzing crowd: individual sounds blend into mush. PiVoT works like a conductor who instantly recognizes each instrument in the tuning chaos. Instead of shuffling through hypotheses, the algorithm tightens a loop around the most likely targets — cars, cyclists, pedestrians.
The secret to its speed lies in entropic techniques: the algorithm measures disorder and discards unreliable data. Complex calculations are replaced by simple ones to process a wave traveling at the speed of light (predicted by James Maxwell) in a split second. The Doppler shift, discovered by Christian Doppler, provides speed information about targets, just as astronomers use spectroscopy (light analysis) to judge galaxy motion. The result: up to 1000 cars, bikes, and pedestrians are recognized simultaneously, without a single error.
Every second, an automotive radar spews out up to half a million points — PiVoT processes this avalanche faster than you can blink, flawlessly picking out cars, cyclists, and even pedestrians.