What are kalman filters?

Kalman filters are like having a super-smart friend who helps you guess where something is, even when you can’t see it clearly.

Imagine you’re playing hide-and-seek in a hallway with your friend. You can only see them every few seconds, and sometimes they move quickly or slowly. Your smart friend knows how fast people usually walk, so even when they disappear behind a door, they can guess where your friend is, and get better at it each time you give them another peek.

Kalman filters work the same way, but instead of hide-and-seek, they help track things like cars, planes, or robots. They take noisy information (like blurry snapshots) and use math rules to make educated guesses about where something is, and how it's moving.

Every time you see your friend again, your smart friend updates their guess by comparing what they expected with what you actually saw. This is like how kalman filters update predictions each time new information comes in. They get better over time because they remember past clues and use them to improve the next guess.

So whether it’s a car trying to find its way or a robot exploring a room, kalman filters are like that helpful friend, always making smart guesses with every clue you give them!