Enhance LiDAR Inertial Odometry Accuracy with OxTS’s New Feature

November 19, 2024
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1 min read

Using LiDAR? Constrain position drift using your sensor for more accurate point cloud data.

LiDAR Inertial Odometry (LIO) technical paper cover by OxTS, featuring point cloud data visualization.

A new feature released by OxTS, LiDAR Inertial Odometry, or LIO for short, uses distance information from a 360° field-of-view LiDAR sensor to calculate the relative velocity of a survey vehicle. LIO then uses this information to constrain position drift in areas with poor GNSS visibility – like urban canyons.

The result? More accurate point cloud data for longer periods of time.

SAM geospatial services

To help their customers understand the capabilities of LIO, OxTS have released a technical paper that details more about the software feature.

360° LiDAR point cloud visualization of a city roundabout, illustrating LiDAR Inertial Odometry accuracy.

By reading the technical paper, you will learn more about

  • How LIO works
  • The 10, 30 and 60 second GNSS outage performance
  • What was found during London and Oxford test runs

Download the paper – OxTS LiDAR Inertial Odometry

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Gene Roe - founder of Lidar News

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