Industry’s first easy to integrate, cost effective triple redundant IMU for developing navigation & localization solutions for autonomous vehicles
For developers creating guidance and navigation systems for autonomous vehicles, robots, drones, and industrial, construction, and agricultural machinery
ACEINNA announced the new ACEINNA 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 only 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, combined with the small, low-cost packaging, is intended to meet the challenging 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.
“We are making it possible to quickly design in and integrate IMU guidance technology to AVG solutions critical for Level 3 ADAS systems,” says 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 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 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, High Performance 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, Wide Temp Range, -40C to +85C, High Reliability, and an open community & development support.