While many IMU suppliers claim to offer impressive performance with bias stability levels below one degree per hour, in reality, lab performance rarely translates to performance in the field. In-run bias stability, a popular measure for calculating how stable an IMU will be, is always measured when the IMU is at rest in a quiet environment. When that same IMU is deployed to the field, the dynamic threats of the environment, such as vibration from a bumpy road, can cause key specifications including the bias stability to degrade significantly. This is where a precision navigation system excels.
ADI prides itself on being able to offer conservative specifications that hold up in all the conditions that matter, not just on a test bench. Shown in the table below is a comparison of ADI against three well-known competitors. While some suppliers appear to offer similar bias stability to ADI , once vibration  and cross-axis  errors are introduced, the performance gap between ADI and the competition widens by over a factor of 10.
| In-Run Bias Stability (dph)
||A measure of IMU stability assessed in a quiet lab environment
| Linear g (dps/g)
||IMU vibration performance
| Cross-Axis (dph)
||IMU cross-axis performance under 5deg of tilt
| Achievable Bias Stability (dph)
||IMU bias stability  once  and  are accounted for
| Accumulated Error (m)
||Localization error of a vehicle traveling 30 mph after 30 seconds
The stability of ADI’s IMUs enables an autonomous vehicle to precisely track its position for over a minute at a time before requiring a correction from the GPS or visual sensors. This allows the vehicle to maintain lane-level accuracy during blockages or outages for 10 times longer than what is offered by legacy IMUs installed in production vehicles today.