Open-source software stack for INS/GPS algorithm development


Whether you are developing autonomously guided vehicles for industrial applications, autonomous cars, factory or industrial robots, drones, ROVs, any kind of smart machine which needs to move – fast or slow, on land, in the air, or in water, integrating an IMU (Inertial Measurement Unit) based sensor network will greatly improve its navigation and self-location capabilities.

“Our breakthrough open-source Software for INS/GPS algorithm development is the first professional grade open-source navigation stack running on a low-cost IMU,” says Mike Horton, CTO of ACEINNA. “Not only will this kit save developers time and money, it is simple to use and does not require a PhD.”

OpenIMU enables advanced, easy-to-deploy localization and navigation algorithm solutions for a fraction of the time and cost of traditional methods.  OpenIMU’s combination of open-source software and low-cost hardware enables rapid development of advanced solutions for drones, robotics, and autonomous applications.

OpenIMU’s extensible software-infrastructure provides all the code needed for algorithm development.

This freely downloadable stack includes:

* FreeRTOS-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

To install OpenIMU stack now, follow the directions at https://developers.acceina.com.  Several ready to install free GPS/INS and IMU applications are available on ACEINNA’s Navigation app store at https://developers.aceinna.com/apps

The OpenIMU Development hardware development kit includes JTAG-pod, precision mount fixture, EVB, and an OpenIMU300 module.

The OpenIMU module features ACEINNA’s 5 deg/Hr, 9-Axis gyro, accelerometer, and magnetometer sensor suite with an onboard 180MHz ARM Cortex floating-point CPU.

The IMU is delivered in a small (24x37x9.5mm), easy to integrate module that operates from 2.7-5.5VDC.



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