Aceinna has announced a new video, “All About the New Aceinna OpenIMU Package," to provide a quick and easy overview of its new open inertial measurement units (IMU) package.

The company said its OpenIMU solution consists of three key parts. First is a family of IMUs consisting of three high-accuracy accelerometers, three high-accuracy gyros and a powerful ARM cortex. Second is an open source toolchain and reference code for programming the IMU. It consists of everything from basic download and debug to reference implementations of a loosely coupled global positioning system/inertial navigation system (GPS/INS). Third is a full developer site and tools with charting, graphing and even algorithm simulation.

“OpenIMU enables advanced, easy-to-deploy localization and navigation algorithm solutions for a fraction of the time and cost of traditional methods," said Mike Horton, CTO of Aceinna. "OpenIMU's combination of open-source software and low-cost hardware enables rapid development of advanced solutions for drones, robotics, and autonomous applications. OpenIMU is a first of its kind, professionally supported, open-source GPS/GNSS-aided inertial navigation software stack for low-cost precise navigation applications.”

The OpenIMU hardware development kit includes Joint Test Action Group (JTAG)-pod, precision mount fixture, evaluation board (EVB) and an OpenIMU 300 module. The OpenIMU module features Aceinna’s 5°/hour, nine-axis gyro, accelerometer and magnetometer sensor suite with an onboard 180 MHz ARM cortex floating-point central processing unit (CPU). The IMU is delivered in a small (24 mm x 37 mm x 9.5 mm) module that operates from 2.7 to 5.5 V DC.

This freely downloadable stack includes:

• Free real-time operating system (RTOS)-based data collection and sampling engine
• Performance-tuned, real-time, navigation-grade GPS/INS Kalman filter library
• Free IDE/compiler tool chain based on Visual Studio code
• JTAG debugging for debugging code loaded on IMU
• Data logging, graphing, Allen variance plots and maps
• Extensive documentation
• Robust simulation environment with advanced sensor error models

For more information, click here.