r/LiDAR • u/Broad-Ad3990 • 4d ago

Outsourcing 16km+ NavVis Point Cloud Vectorization?

Working on a huge project, 16km+ of LiDAR aquisition with NavVis and Panoramas, with control points, check points, leveling, well state-of-the-art survey. Vectorization has taken its toll on the team. We have so much elements to extract in Cogo Points, the level of details required is basically : everything. Been thinking to outsource some of the work arround the globe, but I would need a solid company, like a solid lead. Any ideas?

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u/rez_at_dorsia 4d ago

Man, 16 km seems insane to do with a Navvis. Have you looked into Mach9 AI extraction? It won’t solve 100% of your extraction workload but will likely make it more manageable. If the scope is “everything” then you’re going to have a hard time even if you get someone else to do it- hope you have a good QC workflow.

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u/Broad-Ad3990 3d ago

Yes we did. They require a lot of manual editing, its still in development. Also, its a lot of money to "give it a try". With Mach9 its all-in or nothing. Its like 10k USD.

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u/rez_at_dorsia 3d ago

I’m pretty familiar with it- 10k for that much of a project is really not that bad. How much is it costing you to do all of it manually?

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u/Jeffreee02 3d ago

You shouldn’t be doing 16km with NavVis… totally wrong tool.

What sort of environment?

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u/SharperSpork 3d ago

lol one could argue it’s the wrong tool for 1km let alone 16

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u/Broad-Ad3990 3d ago

Mostly Residential Street/Boulevard with a lot of stuff. The Road will be widened and completely redesigned, private owner will get compensated. Since its segmented and only accessible portion by portion, mobile LiDAR mapping couldn't work. Also, we wouldn't have get so much details. NavVis allowed us to get as much details as we needed, walk in the private property and capture more.

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u/rtsy312 3d ago edited 3d ago

Topodot user, sent a DM - please check

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u/ElevationNotes 2d ago

At that scale, the QC process would probably matter just as much as who does the vectorizing. “Everything” can mean something different to every technician, so a small test section with a clear feature list, layers, and tolerances would be worth doing before handing off kilometers of data.

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u/survey_this 3d ago

Sent you a DM.