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VectorNav VN-200 GNSS/INS

About

About VectorNav VN-200 GNSS/INS

VN-200 is VectorNav's miniature GNSS-aided inertial navigation system for drones, robots, vehicles, mapping payloads and moving antennas. Three-axis gyroscopes, accelerometers and magnetometers combine with a 72-channel GNSS receiver and onboard Kalman filtering to output position, velocity and attitude.

The sensor delivers navigation data at up to 400 hertz and IMU data at up to 800 hertz, with dynamic heading accuracy of 0.2 degrees and pitch-and-roll accuracy of 0.03 degrees. A four-gram surface-mount module embeds directly into electronics, while a 16-gram rugged enclosure provides locking connectors and external-antenna support. VectorNav has fielded tens of thousands of VN-200 units since its 2012 introduction.

Research

  • Terrain Traversability via Sensed Data for Robots Operating Inside Heterogeneous, Highly Unstructured Spaces

    2025-01-13 - Research Publication - A terrain-traversability pipeline uses a VectorNav VN-200 beneath a mobile robot base to transform sensed point clouds and track attitude in heterogeneous unstructured spaces.

    Source
  • 3D Distance Filter for the Autonomous Navigation of UAVs in Agricultural Scenarios

    2022-03-11 - Research Publication - A three-dimensional distance filter for autonomous agricultural UAV navigation is evaluated on a Matrice 100 equipped with a VectorNav VN-200 and ultrasonic sensors.

    Source
  • University of Colorado and Black Swift Technologies RPAS-Based Measurements of the Lower Atmosphere During LAPSE-RATE

    2021-06-04 - Research Publication - A public lower-atmosphere RPAS dataset includes VectorNav VN-200 position, attitude and velocity measurements from long-endurance TTwistor aircraft flights during LAPSE-RATE.

    Source
  • Designing and Testing a UAV Mapping System for Agricultural Field Surveying

    2017-11-23 - Research Publication - An agricultural UAV mapping payload uses a VectorNav VN-200 for vehicle attitude and GPS-time synchronization across LiDAR, camera and GNSS measurements.

    Source

Context

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