Triple-redundant IMU targets AVs

Triple-redundant IMU targets AVs

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By Rich Pell

Designed for use in automotive ADAS and autonomous systems as well as for electronic stability control and Lane Keep Assist functions, the IMU triple-redundant sensor architecture consists of three independent, 3-Axis Accelerometer and 3-Axis Gyros for excellent accuracy and reliability. By embedding a triple-redundant sensor array, the OpenIMU330 is able to use Aceinna’s proprietary voting scheme to utilize only valid sensor data. Any defective sensor output or errant dataset can be ignored or de-rated in importance.

This architecture ensures the highest possible quality level and simultaneously improves the performance. The Bias Instability and Angular Random Walk of the rate sensors are 2o/hr and 0.2 o/√hr. The module is powered by an ARM M4 CPU with a Floating Point Unit. It runs the OpenIMU open-source stack that includes an optimized full-state Kalman Filter for Attitude and GPS-Aided Position-Velocity-Time (PVT) measurement.

A free tool-chain based on VS Code supports PC, MAC, and Ubuntu.

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