GNSS and IMU integration: understanding complementary information
GNSS and inertial measurements describe motion in complementary ways.
THE DRONE COLLAB JOURNAL
Explore practical photogrammetry, GNSS, IMU, GIS and remote sensing methods. Technical explanations, worked examples and field checks for the people turning aerial photographs into usable maps.

GNSS and inertial measurements describe motion in complementary ways.
Boresight describes the angular relationship between a camera and a navigation or inertial frame.
A GNSS receiver estimates the position of a defined antenna reference while an image is formed around a camera perspective center.
Euler angles describe orientation through an ordered set of rotations.
A sensor body frame, an aircraft frame, a camera frame, and an earth frame can all use different axis directions.
Inertial sensor offsets and sensitivities can vary with temperature, and the temperature measured inside an instrument may lag the surrounding air.
Allan deviation examines how the variability of averaged measurements changes with averaging time.
Airframe vibration reaches an inertial sensor through its mount and can create more than obvious high frequency oscillations.
An accelerometer bias is an additive error in specific force.
A gyroscope bias is a rate offset that remains after the true angular motion is removed.
An inertial measurement unit supplies angular rate and specific force along its sensing axes.
When does mixing photographs from several camera systems strengthen a project, and when does it create avoidable uncertainty? A practical guide to the acquisition choices, controlled processing test, illustrative calculation, and independent checks needed for a defensible result.
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