HomeNewsIndia NewsUnveiling the Industry’s first ever inertial measurement unit for autonomous vehicles

    Unveiling the Industry’s first ever inertial measurement unit for autonomous vehicles

    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.

    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 2o/hr and 0.2 o/√hr.

    “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 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.

    Development tools – Embedded navigation applications can be quickly developed on PC, MAC, and Ubuntu and deployed to run on OpenIMU hardware.

    For more information, visit: www.aceinna.com

    ELE Times Research Desk
    ELE Times Research Deskhttps://www.eletimes.ai
    ELE Times provides a comprehensive global coverage of Electronics, Technology and the Market. In addition to providing in depth articles, ELE Times attracts the industry’s largest, qualified and highly engaged audiences, who appreciate our timely, relevant content and popular formats. ELE Times helps you build awareness, drive traffic, communicate your offerings to right audience, generate leads and sell your products better.

    Related News

    Must Read

    TI’s microcontroller portfolio and software ecosystem expanded to enable edge AI in every device

    Texas Instruments (TI) introduced two new microcontroller (MCU) families...

    R&S to showcase future-proof EMC testing solutions at EMV 2026

    Rohde & Schwarz will participate in EMV 2026, Europe’s...

    Infineon extends leadership position in global microcontroller market

    Infineon Technologies further extends its number one position in...

    Traction Inverter: Keys to understanding the inverter, the traction, and why X-in-1 solutions are increasingly popular

    Courtesy: STMicroelectronics Traction inverters are at the heart of electric...

    5 Upcoming AIoT Trends to Lookout for in 2026

    Courtesy: Hikvision As we enter 2026, the convergence of artificial...

    Motor Vehicle Motors Without Rare Earths: Chara Technologies’ Reluctance Motor Bet

    Six years ago, when rare earth magnets were still...

    Designing AI-resistant technical evaluations

    Courtesy: Anthropic What we learned from three iterations of a...