Artificial intelligence (AI) algorithms for 3D Modeling: Riyadh Case Study

Our recently completed project of Riyadh 3D Model in Saudi Arabia covers about 2000 sq km of the city area.

3D buildings were produced with details corresponding to LOD1.2 under City GML standards.

The most up-to-date satellite images and machine learning techniques were used to produce a highly accurate 3D dataset, including 3D Buildings and Vegetation, Clutter Model, Basic Vectors as well as detailed terrain features.

3D Models designed for 5G network planning take into account all the features of mm-wave propagation:

  • Detailed building structures
  • Complex roof elements
  • Irregular dense development
  • Vegetation outline and height

The implemented deep convolutional neural network (CNN) supports extraction of accurate special information about buildings, vegetation, water objects, man-made constructions, transportation network within the city.

The use of artificial intelligence algorithms simplifies the process of collecting and processing the geodata for 3D maps production. Machine learning techniques applied to processing high-resolution satellite images reduce the time and effort required to create 3D Models.

Depending on the mobile operator’s project, Riyadh 3D Model can be supplied with 1m, 2m or 5m resolution in any RF-tool format.

Our 3D Geodata is tailored for various tasks in a digital community, including Smart Cities projects, Solar Energy Planning, Environmental Management, Architecture and Urban Planning, Real Estate, Planning of Utility Networks, and more.

Therefore, the 3D model of Riyadh can be utilized not only for 5G network design but also to enhance planning, development, and decision-making processes in city-development processes.

More detailed information as well as free data samples can be provided upon your request.