Trimble Connect User Forum

Hi,

I have total 40GB of laser scan data (total 40 .Las files) of a 13km road project. I have imported to the nova point.

Now when I am creating a ground model out of it, it takes a lot of time and even though unable to create ground model.

I have tried with few files to make ground model in bit and pieces and make all together in a paket.

But now when I build a road model and use that paket for calculation it take long time and unable to build the road model.

Is there any better workflow to handle such a large laser scan data and build the road model efficiently?

Thanks,

Okay, so handling large point clouds can be a bit tricky, but it's totally doable! Here's the lowdown:

1.  Storage:-  First things first, you need a place to store all those points. Cloud storage like AWS S3 or Google Cloud Storage is a great option for large datasets. It's scalable and accessible from anywhere.

2.  Compression:-  Compressing your point cloud data can save a ton of space.  There are different compression techniques like lossless and lossy.  Lossless keeps all the data, while lossy might lose a little bit of detail, but it can save a lot of space.

3.  Processing:-  Now, working with these massive point clouds can be resource-intensive.  You'll need powerful hardware like a good GPU and lots of RAM.  There are also software tools like CloudCompare or Potree that can help you manage and process large point clouds efficiently.

4.  Visualization:-  Visualizing large point clouds can be a challenge.  Tools like Potree or CloudCompare can handle large datasets and offer different visualization techniques like point cloud rendering, meshing, and sectioning.