Hi Ioannis, if you need an elevation map that show mm difference in height I agree, a TLS is the better option (assuming it is properly leveled, which doesn't seem to be always the case). Also, on details like fine pipes, you are right.
However, there is no physical law that mobile mapping is less accurate than TLS, right? As you see, the software and algorithms make a device bought a year ago constantly better and better. So the hardware investments are getting less of the concern, as the majority of improvements come via sw updates not new laser diodes, FPGA, or lenses.
I believe this is great for our industry
NavVis VLX - wearable mapping
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- I have made 90-100 posts
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Re: NavVis VLX - wearable mapping
OK here you go!
But I am not going to model it ;D
I guess you can see that this works
But I am not going to model it ;D
I guess you can see that this works
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Re: NavVis VLX - wearable mapping
We are happy to announce we published a new NavVis accuracy white paper!
Find out how to evaluate indoor and outdoor mobile mapping accuracy against a terrestrial laser scanner.
Please find your free copy here: https://www.navvis.com/resources/white- ... cp-3311454
Find out how to evaluate indoor and outdoor mobile mapping accuracy against a terrestrial laser scanner.
Please find your free copy here: https://www.navvis.com/resources/white- ... cp-3311454
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Re: NavVis VLX - wearable mapping
Let me give you a bit of a hint, what is covered in the new accuracy white paper (https://www.navvis.com/resources/white- ... cp-3311454):
The team evaluated the accuracy of NavVis VLX with the newest software release in three scenarios. The first centers around a typical office setup. I attach a screenshot of part of the results to give you an idea of how much software updates continue to improve the data quality.
The second scenario evaluates the accuracy outdoors, specifically on facades. In the screenshot below, you see a 20 m high facade that features holes and a structured surface. In the white paper, we look into the accuracy at different heights when scanning at steep angles.
The last scenario is covering the scanning and modelling of a family house.
Let me know what you think!
The team evaluated the accuracy of NavVis VLX with the newest software release in three scenarios. The first centers around a typical office setup. I attach a screenshot of part of the results to give you an idea of how much software updates continue to improve the data quality.
The second scenario evaluates the accuracy outdoors, specifically on facades. In the screenshot below, you see a 20 m high facade that features holes and a structured surface. In the white paper, we look into the accuracy at different heights when scanning at steep angles.
The last scenario is covering the scanning and modelling of a family house.
Let me know what you think!
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Re: NavVis VLX - wearable mapping
Can you please explain me how software improvements help the accuracy of the hardware? It clean the noise like cloud compare?
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Re: NavVis VLX - wearable mapping
Hi Ioannis,
I have a webinar for you in which our team explains how we did that in the past (and how we will continue to do that):
https://www.navvis.com/resources/webina ... ta-quality
But in short: the laser scanner and hardware we use is also built into other systems on the market. So why are we so much better in terms of accuracy and quality in general?
Due to the principle of mobile mapping, every physical point (like the edge of a table) is observed / scanned from multiple different locations (along the trajectory), which creates a lot of redundancy. Thanks to advances in machine learning, data fusion and what some people call AI, we can extract the actual position of this physical point from the many complementing observations with great precision. The way we do this is constantly improving, and so is every VLX getting more and more accurate over time.
It is to some extent comparable with so-called computational photography. This is the software that get a very decent picture out of the tiny and affordable camera of e.g. an iPhone.
I have a webinar for you in which our team explains how we did that in the past (and how we will continue to do that):
https://www.navvis.com/resources/webina ... ta-quality
But in short: the laser scanner and hardware we use is also built into other systems on the market. So why are we so much better in terms of accuracy and quality in general?
Due to the principle of mobile mapping, every physical point (like the edge of a table) is observed / scanned from multiple different locations (along the trajectory), which creates a lot of redundancy. Thanks to advances in machine learning, data fusion and what some people call AI, we can extract the actual position of this physical point from the many complementing observations with great precision. The way we do this is constantly improving, and so is every VLX getting more and more accurate over time.
It is to some extent comparable with so-called computational photography. This is the software that get a very decent picture out of the tiny and affordable camera of e.g. an iPhone.