Spatial planning in the city of Zagreb
The city of Zagreb has been developing a semantic 3D city model since 2008. The city spatial planning sector was recognized as the main project user and developer, while more...
The city of Zagreb has been developing a semantic 3D city model since 2008. The city spatial planning sector was recognized as the main project user and developer, while more...
Construction companies are rapidly adopting autonomous technology, according to a recent study by Hexagon. However, there seems to be a gap between their implementation of the technology and the challenges...
There is a critical need for rapid, rigorous, reproducible and scalable forest inventory tools to support data-driven policies and management practices in response to challenges including deforestation and climate change....
To explore the contribution of UAVs to the spatial mapping process in urban environments, a team from Greece studied the use of aerial imagery to achieve wide coverage of a...
In the Open Maps For Europe 2 (OME2) project, national providers of geospatial information will create a prototype for harmonized large-scale, high-value pan-European open datasets. The project aims to develop...
A new collaboration between NavVis and NVIDIA Omniverse is aimed at enabling streaming large-scale reality-capture data for factories. This will allow not only physically accurate, computer-designed models, but also accurate 3D...
The Dutch startup Aerial Precision recently demonstrated its first two sensors with integrated artificial intelligence software. Over the past few years, the company’s innovation efforts have resulted in products that...
The use of AI in monitoring and modelling climate conditions is bringing about a revolution, especially in the field of geospatial data collection and mapping. With the help of AI-powered...
The National Land Survey of Finland (NLS) is a good example of how artificial intelligence (AI) is entering national mapping agencies. Approximately two years ago, NLS set up the Advanced...
The creation of an accurately classified point cloud usually requires tremendous input from manual annotation. At Flai, we believe that all those repetitive procedures can be greatly reduced by using...
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