Inertial Navigation Sensors: MEMS IMU, Accelerometers, Gyroscopes, AHRS, GPS-INS & Point Cloud Generation

New Dual Antenna GPS-Aided INS Released

By Mike Ball / 29 Mar 2021
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Inertial Labs INS-DH-OEMInertial Labs has launched the INS-DH-OEM, a GPS-aided inertial navigation system (INS) that integrates a Honeywell HG4930 inertial measurement unit (IMU) and a Novatel OEM7720 dual antenna GNSS receiver. The INS-DH-OEM provides high-accuracy orientation, position, velocity, and timing (OPVT) data for unmanned aerial vehicles (UAVs) and unmanned ground vehicles (UGVs), and is designed for easy integration into custom enclosures and higher order integrated system applications.

Consisting of 3 axes each of high-precision accelerometers and gyroscopes, the accuracy of the HG4930 IMU plays a key role in the performance of the INS-DH-OEM. With input from the IMU, the INS-DH-OEM provides pitch and roll accuracy of 0.015 degrees RMS for dynamic applications, and 0.01 degrees for motionless applications.

The Novatel OEM7720 dual antenna GNSS receiver is an all-constellation, multi-frequency heading and positioning solution with TerraStar PPP correction services and advanced interference mitigation features. With aiding data from the OEM7720, the INS-DH-OEM delivers a 2-meter baseline heading accuracy of 0.05 degrees RMS for both static and dynamic applications, making it ideal for both line-of-sight (LOS) and beyond line-of-sight (BLOS) antenna pointing applications.

The INS-DH-OEM can be used for a wide range of aerial applications such as remote sensing, flight control, and photogrammetry, providing accurate positioning, navigation, and timing (PNT) data for multi-rotor and fixed-wing drones, and other UAV platforms. PNT data is essential for high-accuracy deliverables such as point clouds, orthomosaics, and photogrammetric plots.

With a weight of 280 grams and dimensions of 85.7×62.5×52.0 mm , the INS-DH-OEM is a lightweight and compact system that can be easily fitted into custom enclosures or integrated into higher order systems such as LiDAR payloads. The system is compatible with scanners from many leading LiDAR manufacturers including Livox, Velodyne, Ouster, and Quanergy.

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Posted by Mike Ball Mike Ball is our resident technical editor here at Unmanned Systems Technology. Combining his passion for teaching, advanced engineering and all things unmanned, Mike keeps a watchful eye over everything related to the unmanned technical sector. With over 10 years’ experience in the unmanned field and a degree in engineering, Mike’s been heading up our technical team here for the last 8 years. Connect & Contact
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