September 4, 2019 - ACEINNA announced the ACEINNA OpenIMU330B, a MEMS based, 6-DOF inertial measurement unit that enables autonomous vehicles to stay on track during turns and complicated maneuvers. Measuring 11mm x 15mm x 3mm, the ACEINNA OpenIMU330B is designed for use in automotive ADAS and autonomous systems as well as for electronic stability control and Lane Keep Assist functions.
This triple-redundant architecture, is intended to meet the performance, reliability and cost requirements of the automotive market including the areas of Autonomous Vehicles, Self-Driving Taxis/Delivery Vehicles. ADAS Systems, Electronic Stability Control, Lane Keep Assist applications, etc.
The OpenIMU330B triple-redundant sensor architecture consists of three independent, 3-Axis Accelerometer and 3-Axis Gyros. By embedding a triple-redundant sensor array, the OpenIMU330 is able to use ACEINNA’s voting scheme to utilize only valid sensor data. Any defective sensor output or errant dataset can be ignored or de-rated in importance. The Bias Instability and Angular Random Walk of the rate sensors are 2 o /hr and 0.2 o /√hr.
The OpenIMU330 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.
Technical features include a Triple Redundant, 3 axis MEMS angular rate sensor, Triple Redundant 3 axis MEMS Accelerometer, Open Source Tool Chain and Custom Algorithms, ARM M4 CPU and built in 16-State Open Source Extended State Kalman Filter. The ACEINNA OpenIMU330B also includes Automotive Grade ASIL-B Version, SPI and UART interfaces, Temp Range, -40C to +85C, and an open community & development support.
