Aceinna announced the OpenIMU330B, a MEMS-based, small-form-factor high-performance 6-DOF inertial measurement unit that enables autonomous vehicles to accurately stay on track during turns and complicated maneuvers. Measuring 11 mm x 15 mm x 3 mm, the Aceinna OpenIMU330B is designed for use in automotive advanced driver-assistance systems (ADAS) and autonomous systems as well as for electronic stability control and lane keep assist functions.
The company says that this triple-redundant architecture, combined with the small, low-cost packaging, is intended to meet the challenging performance, reliability, and cost requirements of the automotive market.
“We are making it possible to quickly design in and integrate IMU guidance technology to AVG solutions critical for Level 3 ADAS systems,” said Mike Horton, CTO of Aceinna. “This is the first and only affordable, highly compact, and triple-redundant IMU module on the market.”
The OpenIMU330B triple-redundant sensor architecture consists of three independent, 3-axis accelerometers and 3-axis gyros for high accuracy and reliability. By embedding a triple-redundant sensor array, the OpenIMU330 is able to use Aceinna’s proprietary voting scheme to use 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 device is powered by an ARM M4 CPU with a floating-point unit. The OpenIMU330B module 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.