Autonomous & Unmanned
Vehicle Navigation and Tracking

MicroStrain's cost-effective IMU, AHRS and GNSS/INS sensors are a trusted product in Unmanned Aerial Vehicles (UAVs), Unmanned Ground Vehicles (UGVs), and Drone navigation and tracking. Our miniature, lightweight sensors can be deployed in a variety of defense and commercial autonomous platforms to improve the accuracy and reliability of navigation and tracking.

With industry-leading size, weight, and power consumption, MicroStrain inertial sensors offer an optimal solution for unmanned land, sea and air vehicles to achieve excellent inertial sensing, vehicle tracking, and antenna pointing performance. All of our sensor systems are factory-calibrated over their full operating temperature range to ensure highly reliable performance between devices.

inertial sensors
To learn more about our line of inertial sensors
wireless sensors
To learn more about our line of wireless sensors
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Case Studies and Applications

White Paper

Ian Moore, Field Application Engineer

The new 3DM-GQ7-GNSS/INS builds on the success of the 3DMGX5-GNSS/INS and adds many features desired by customers which resolve common challenges in specific use cases. This test report highlights four evolutionary improvements.


White Paper

Asa Davis, Zach Fuchs, Erin Gunn, Rachel Masters, Christopher Robertson, Benjamin Say, David Schenkenberger

Drones already have their own internal IMU's, but those IMU's lack the accuracy needed for larger flight tasks. For shorter flights and recreational flying, the internal IMU is precise enough to keep the drone running as expected. A


3DM-GV7 Sensor Overlaid on Autonomous Tractor

Application Note

The GV7 series of inertial sensors offers improved performance and functionality over the GX5 series while maintaining the same compact size and easy-to-replace design. This upgrade is ideal for those seeking higher accuracy and additional features.


Autonomous vehicle driving through GPS-denied region

White Paper

Joel John, Software Engineer

By leveraging the strengths of both radar and INS, engineers and researchers can develop more capable and adaptable autonomous robots for a variety of applications, from industrial automation to autonomous vehicles.


Case Study

Technology evolves as we improve how information is gathered, analyzed and implemented into various applications. For instance, Vertical Takeoff and Landing aircraft (-VTOL) can take off, hover and land vertically.


Satellite over Earth

White Paper

Aidan Laracy, Field Applications Engineer

Our Field Applications Engineer, Aidan Laracy, did a deep dive to compare the performance of NMEA and MIP GNSS data input methods for the 3DM-CV7-INS. Learn as he explores the trade-offs between ease of integration and precision.


Case Study

Developing humanoid robots involves an intricate blend of disciplines, including mechanical engineering, electronics, computer science, and artificial intelligence. THEMIS stands as a testament to these complex challenges.


Quadcopter with GX5 GNSS/INS sensor

Case Study

Thiago A. Rodrigues, Jay Patrikar, Bastian Wagner, Sebastian Scherer, Constantine Samaras

Parker LORD sponsors research to model energy consumption for quadcopter package delivery drones


White Paper

Ian Moore, Field Application Engineer

This report compares the steps necessary to use magnetometer vs dual-antenna as a heading source for a Cessna 150M flown in a repeated flight profile.


Case Study

John Bergstrom

A case study of the GQ7 with dual antenna and RTK modem to collect navigation and position data using SensorConnect Software


Application Note

Parker MicroStrain 2020

MicroStrain’s miniature, lightweight inertial navigation solutions improve navigational accuracy while reducing power consumption in next-generation unmanned ground vehicles (UGV).


Application Note

Parker Hannifin MicroStrain

Underwater Remotely Operated Vehicles (ROVs) and Unmanned Underwater Vehicles (UUVs) operate in extremely demanding environments that require precise and reliable feedback. Inertial navigation solutions must be very accurate...


Case Study

ParkerHannifin MicroStrain

MicroStrain inertial sensors help Team Explorer, from Carnegie Mellon and Oregon State University win the first 2019 DARPA challenge event. with both aerial and ground robots.


Application Note

MicroStrain

MicroStrain® provides high-performance inertial sensing systems with minimal weight,size, and integration barriers


White Paper

D. O'Neil, MicroStrain; S. Low, Boeing Military Aircraft Corp.

Immediate data feedback allowed flight engineers to make critical adjustments shortly after each test, enabling multiple tests per day. Previous test programs required week-long delays between flights for data analysis.


Case Study

Dan O'Neil, Steve Low

Aircraft flight test has traditionally been expensive and time consuming to accomplish, requiring complex hardware design and integration and extensive operational test teams to address aircraft downtime for instrumentation maintenance and calibration,