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On July 18, 2023 at 1:55:58 PM UTC, Gravatar Marija Knezevic:
  • Updated description of LoD3 Road Space Models from

    This [CityGML](https://www.ogc.org/standard/citygml/) dataset contains road space models (over 50 building models) in the area of [Ingolstadt](https://en.wikipedia.org/wiki/Ingolstadt). To ensure the highest accuracy geometrically as well as semantically, the dataset was manually modeled based on the mobile laser scannings (MLS) provided by the company [3D Mapping Solutions GmbH](https://www.3d-mapping.de/en/) (relative accuracy in the range of 1-3cm). Moreover, a complementary [OpenDRIVE](https://www.asam.net/standards/detail/opendrive/) dataset is available, which includes the road network, traffic lights, fences, vegetation and so on: <ul> <li>CityGML & SketchUp <ul> <li>Download via the [releases section](https://github.com/savenow/lod3-road-space-models/releases)</li> <li>Please note, that the 'Download ZIP' button doesn't include the project files due to [Git LFS](https://git-lfs.com/) </li> </ul>
    to
    This [CityGML](https://www.ogc.org/standard/citygml/) dataset contains road space models (over 50 building models) in the area of [Ingolstadt](https://en.wikipedia.org/wiki/Ingolstadt). To ensure the highest accuracy geometrically as well as semantically, the dataset was manually modeled based on the mobile laser scannings (MLS) provided by the company [3D Mapping Solutions GmbH](https://www.3d-mapping.de/en/) (relative accuracy in the range of 1-3cm). Moreover, a complementary [OpenDRIVE](https://www.asam.net/standards/detail/opendrive/) dataset is available, which includes the road network, traffic lights, fences, vegetation and so on: <ul> <li>CityGML & SketchUp <ul> <li>Download via the [releases section](https://github.com/savenow/lod3-road-space-models/releases)</li> <li>Please note, that the 'Download ZIP' button doesn't include the project files due to [Git LFS](https://git-lfs.com/) </li> </ul> <li>OpenDRIVE</li> <ul> <li>Download via the [website of 3D Mapping Solutions](https://www.3d-mapping.de/en/customer-area/demo-data/) (initial registration required)</li> <li>Relevant OpenDRIVE dataset is named *Ingolstadt Innercity Halls* and can be found in the demo data area </li> <li>Conversion to CityGML can be carried out using the tool [r:trån](https://rtron.io)</li> </ul> </ul>