Dynamic object removal is a simple idea that can have major impact for your mobile mapping business. Here are a few ways it can provide a competitive edge.
From a NavVis blog post by Sean Higgins.
Let’s say you’re bidding on an as-built documentation project at a busy factory, hospital, or construction site—and you have just learned that the site can’t shut down for scanning.
If you planned to use terrestrial laser scanners (TLS), your bid could be in trouble. Since the scanner captures every person, machine, or car that moves through its field of view, your data set of this busy site would include significant noise and a lot of artifacts. In short, the point cloud would be unacceptable to your company and your customer.
On the other hand, if you used a mobile scanner with dynamic object removal, the story would be very different. You could avoid these problems entirely and make a much stronger bid.
What is dynamic object removal?
This is a function unique to mobile scanners. Dynamic object removal uses advanced data processing to automatically remove the people, objects, cars, machines, and other objects that move through your field of view while you perform a capture. The result is cleaner data, minimal noise, and significantly better coverage.
Here’s a “before and after” image that shows the effect of dynamic object removal.
Dynamic Object Removal
How does it work?
A mobile scanner captures continuously as you walk, which means it takes every measurement—in other words, captures every point in your final point cloud—a number of times, and from a number of different positions.
This gives the scanner’s post-processing software the ability to analyze each individual point in the cloud. If a point was captured in one moment, but missing in the next, the software can determine that the point came from a dynamic object like a person or a car. Then, it simply removes this “bad” point from your data set.
(In fact, this type of processing enables a mobile scanning system to remove a number of other bad points automatically, including artifacts caused by fringing around objects, and errant measurements caused by reflective surfaces like glass windows or mirrors.)
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