Skip to main content

Making Point Clouds Smarter

  • 24 May 2022
  • 1 reply
  • 120 views

bernhardpg
Practitioner

Through 3D scanning technology, Cognite obtains accurate point clouds of large-scale industrial plants with a high level of detail. We're currently using these point clouds for visualization and measurement purposes to provide value to our customers.

However, we're still missing a fundamental understanding of the objects located in a three dimensional scene. This understanding starts with semantic segmentation, the process of assigning each a class to each point in a point cloud. In the D-MVP and 3D team, we are currently working hard on solving this with state-of-the-art Deep Learning technology. Our goal is to automatically connect assets in a point cloud directly to Cognite Data Fusion, enabling rapid development of fully contextualized as-built digital twins.

In the attached video you'll see what we are aiming to achieve: A point cloud from an industrial site, where all the points are split into different classes. Let me know what you think eller I'd love to hear your thoughts

 

 

Trygve Utstumo
Practitioner

@Håvard Knappskog this is the point cloud segmentation I mentioned on the phone. 

This is also core to the research project we're kicking off together with Kostas at NTNU.


Reply


Cookie Policy

We use cookies to enhance and personalize your experience. If you accept you agree to our full cookie policy. Learn more about our cookies.

 
Cookie Settings