The 30-second answer

An IMU, inertial measurement unit, outputs raw motion: three axes of angular rate from gyroscopes, three of acceleration from accelerometers, and sometimes three of magnetic field from magnetometers and two of inclination from inclinometers. What you do with the data is your job.

An INS, inertial navigation system, wraps an IMU in a navigation computer. It integrates the motion, usually fuses aiding sources such as GNSS and odometry, and outputs position, velocity and attitude directly.

In between sits the AHRS, attitude and heading reference system, which computes orientation, which way you point, but not position.

Same sensors at the core. The difference is how much computation and fusion is done for you.

New to inertial sensors? Start with [What is an IMU?]

Choose a raw IMU when

You already have a navigation or control stack. Autopilots, robotics frameworks and defense platforms usually run their own estimator and want clean, low-latency sensor data, not someone else’s filter output fighting theirs.

You need your own fusion recipe. Odometry, Doppler logs, vision, terrain aids: if you are blending sensors, you want raw inputs under your control.

You are integrating at volume. Buying the sensor and owning the software usually beats paying for a bundled computer in every unit.

This is OSCP’s lane. We build IMUs: the MK2M2 in MEMS, the MK2E2 in photonic, and the early-access MK2Z photonic navigation-grade prototype, all feeding your stack over RS-422 or CAN-FD.

Choose an INS when

You want position out of the box and have no estimator team. Surveying rigs and some marine and industrial fits sit here.

Integration time matters more than integration control. A commissioned INS is faster to first fix. The cost is a filter you cannot tune and hardware you pay for in every unit.

A decision path

Do you have, or want to own, a navigation stack? Yes: take the IMU. No: an INS, or a fusion partner.

Is your denial window long or your environment harsh? Then the IMU grade inside matters more than the wrapper around it. A mediocre IMU inside an INS is still a mediocre navigator. Specify the sensor first.

Frequently asked questions

Can an IMU give me position on its own?

Yes, by dead reckoning, integrating its measurements over time. But error accumulates, so sensor grade and aiding decide how long the answer stays useful. An IMU plus your estimator plus aiding sources is, functionally, an INS you control.

Is an INS more accurate than an IMU?

Not inherently. An INS is only as good as the IMU inside it plus the aiding it receives. The comparison that matters is sensor grade and fusion quality, not the label on the box.

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