Inertial Labs Develops Position and Orientation Tracking Solutions for Unmanned Systems

Inertial Labs, a developer of high-performance inertial sensing systems for unmanned vehicles, has partnered with Unmanned Systems Technology (“UST”) to demonstrate their expertise in this field. The ‘Silver’ profile showcases how their inertial sensors can be used in a wide range of unmanned systems applications, such as motion tracking, payload stabilization, and inertial position tracking for GPS-denied environments.

The OS3D-FG is a miniature Attitude and Heading Reference System designed for real-time orientation tracking applications aboard small unmanned vehicles. It features tri-axial MEMS gyroscopes, tri-axial MEMS accelerometers and tri-axial fluxgate magnetometers, with an onboard Digital Signal Processor and state-of-the-art algorithms.

The AHRS-I is a high-accuracy Attitude and Heading Reference System that outputs absolute orientation (heading, pitch and roll) for both motionless and dynamic applications. It utilizes high-performance Fluxgate Magnetometer technology for superior stability and repeatability.

The AHRS-II is the next-generation family of Attitude and Heading Reference Systems. Featuring state-of-the-art algorithms for a wide range of dynamic motions of unmanned vehicles, the AHRS-II is available in three different models to provide desired levels of accuracy and stability for a wide variety of applications.

Inertial Labs’ family of GPS-Aided Inertial Navigation Systems combines support for multi-GNSS constellation signals (L1 & L2 GPS, GLONASS, GALILEO and BEIDOU) with state-of-the-art 3-axis accelerometers, magnetometers and gyroscopes to provide accurate position, velocity, heave and absolute orientation data for both unmanned aircraft and ground robotics.

The Motion Reference Units are high-performance strapdown motion sensors specifically designed for marine applications such as ROVs. They output highly accurate position, velocity, acceleration, heading, pitch & roll, and heave, sway & surge data.

To find out more about Inertial Labs, please visit their profile page: https://www.unmannedsystemstechnology.com/company/inertial-labs/