In most control systems — averaging. One coefficient for all gyroscopes. One matrix for all accelerometers. Regardless of noise, drift, real characteristics.
It works. But it's not accuracy. Every sensor has its response. Its error. Its function. Ignoring that means discarding data before computations even begin.
Flight Anatomy builds differently. An individual matrix for each sensor. Not because it's harder. Because it's right. And right means accuracy.
Every sensor, every frame, every process — unique. Frame geometry defines inertia. Inertia defines response to control input. Response defines trajectory. Using one model for different frames is like using one recipe for different ingredients.
Environmental factors — magnetic field, wind, temperature — are usually treated as disturbances to compensate or filter. But they are information. The magnetic field shows orientation relative to Earth. Wind direction shows how load on motors changes. Wind strength shows body velocity relative to air. Temperature shows how medium viscosity changes.
We don't fight these factors. We use them as resources to understand system state.
Flight Anatomy is not a product. It's an approach. A principle that works for UAV positioning also works for temperature control. For equipment control. For physical processes.
Only the parameters differ. In speed. In scale. The essence is the same: don't average — understand the physics.
From temperature to motion in space. From machinery to flight. One philosophy — many applications.