Georeference pointclouds from Hesai, Ouster and Velodyne LiDAR sensors with new OxTS Georeferencer

With the new release users can now combine data from their OxTS Inertial Navigation System with a much broader range of LiDAR sensors. New sensors that are brought to market can also be quickly and easily added to OxTS Georeferencer.

Georeference pointclouds from Hesai, Ouster and Velodyne LiDAR sensors with new OxTS Georeferencer
Georeference pointclouds from Hesai, Ouster and Velodyne LiDAR sensors with new OxTS Georeferencer

Georeference pointclouds from Hesai, Ouster, Velodyne LiDAR sensors with new OxTS Georeferencer

OxTS Georeferencer is a powerful LiDAR georeferencing software tool that combines OxTS inertial navigation data with raw LiDAR data to give surveyors the ability to create georeferenced pointclouds as well as tools to calibrate their setup and analyse the accuracy of their survey.

With the new release users can now combine data from their OxTS Inertial Navigation System with a much broader range of LiDAR sensors. New sensors that are brought to market can also be quickly and easily added to OxTS Georeferencer.

This release ensures that surveyors can easily and confidently use OxTS Inertial Navigation Systems and OxTS Georeferencer, to produce georeferenced pointclouds irrespective of the LiDAR scanner they prefer to use. This new release gives surveyors added flexibility in terms of the hardware they may use to survey their environment.

Further to this release users can now combine OxTS INS data with data from the following LiDAR scanners:

Velodyne – VLP-16 Puck, Puck LITE (beta), VLP-32C (beta)* and Alpha Prime VLS128 (beta)

Hesai – Pandar40P

Ouster – All Ouster Gen2 LiDAR – The OS1 and OS2 LiDAR with 32, 64 and 128 lasers**

*At present the Velodyne VLP-32C sensor is single-return mode only.

**At the time of writing all Ouster integrations, other than the OS1-64 in uniform laser distribution are in beta.

As a company OxTS are guided by the principles of quality, reliability, and accuracy. It is these principles that helped guide us in the development of several other features within this release. These include:

Improved calibration – Take advantage of a broader range of set-ups without extensive planning and set-up costs.

A data-driven calibration technique helps to get the best results from your set-up. It eliminates blurring and double-vision, especially at longer distances. The new version now can calibrate angles AND linear displacements. Please note that LIP calibration is in beta mode.

Error calculation – Gain more control over your pointcloud.

The new pointcloud error estimation uses a sophisticated formula together with OxTS navigation data diagnostics. These are then used to estimate the centimetre uncertainty in points. Users can then choose a maximum uncertainty to be included or remove inaccurate points.

Dual return – Provide customers with enhanced pointcloud images.

The new version of OxTS Georeferencer includes dual return capability for all supported models. Where available, this will give pointclouds much higher definition. Users can then present enhanced pointcloud images to customers and internal stakeholders as well as service-specific applications.

Easily integrate new LiDAR families – This latest version of OxTS Georeferencer supports the future proofing of other new LiDAR sensors.

It allows users to quickly and simply add new LiDAR families to the framework. If there are any LiDAR sensors NOT currently integrated that you want to see, please contact OxTS and we will consider them.