Using Data to Calibrate LiDAR and INS

By Mike Ball / 01 Jun 2021
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OxTS has released an article explaining how to use data to confirm the relative displacement and orientation between a LiDAR scanner and the INS (inertial navigation system), which are crucial for accurate georeferencing when producing a pointcloud. This quick and efficient data-driven method will provide the level of accuracy required for many mobile and UAV (unmanned aerial vehicle) mapping applications.

Read the full article on OxTS’ website

The article covers:

  • How position error is affected by even small orientation errors
  • How the relationship between the LiDAR and INS introduces an additional orientational uncertainty
  • Using reflective targets to calibrate the rotation of the LiDAR with respect to the INS
  • How OxTS Georeferencer software uses georeferenced data to calculate the rotation

In order to achieve a high-accuracy georeferenced pointcloud, the rotation between the LiDAR and the INS must be known to points of a degree. The most effective and efficient way to calibrate the hardware setup is to use the georeferenced LiDAR data itself in a data-driven method. To find out more, read the full article on OxTS’ website.

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