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  "author": "[{\"author\": \"Benedikt Schwab\", \"author_email\": 
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  "license_title": "Creative Commons Attribution Share-Alike 4.0 (CC 
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  "license_title": "Creative Commons Attribution Share-Alike 4.0 (CC 
            
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BY-SA 4.0)",
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BY-SA 4.0)",
            
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  "maintainer": "[{\"Maintainer Email\": \"benedikt.schwab@tum.de\", 
            
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  "metadata_created": "2023-07-13T10:47:22.940270",
            
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  "metadata_modified": "2023-10-31T12:58:45.042290",
            
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  "name": "lod3-road-space-models",
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  "name": "lod3-road-space-models",
            
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  "notes": "This [CityGML](https://www.ogc.org/standard/citygml/) 
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  "notes": "This [CityGML](https://www.ogc.org/standard/citygml/) 
            
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dataset contains road space models (over 50 building models) in the 
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dataset contains road space models (over 50 building models) in the 
            
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area of [Ingolstadt](https://en.wikipedia.org/wiki/Ingolstadt). 
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area of [Ingolstadt](https://en.wikipedia.org/wiki/Ingolstadt). 
            
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\r\n\r\nThere are several approaches to model Building in CityGML 2.0 
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\r\n\r\nThere are several approaches to model Building in CityGML 2.0 
            
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(e.g. see [Biljecki et 
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(e.g. see [Biljecki et 
            
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://pure.tudelft.nl/ws/portalfiles/portal/4377508/Biljecki2016to.pdf)). 
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://pure.tudelft.nl/ws/portalfiles/portal/4377508/Biljecki2016to.pdf)). 
            
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In our case, due to the acquisition geometry of MLS point clouds, the 
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In our case, due to the acquisition geometry of MLS point clouds, the 
            
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building objects consist of a very detailed representation of facade 
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building objects consist of a very detailed representation of facade 
            
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elements but on the other hand, it might lack roof elements and 
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elements but on the other hand, it might lack roof elements and 
            
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entities located in the Building's backyard. Thus, we encourage to see 
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entities located in the Building's backyard. Thus, we encourage to see 
            
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the list below for a detailed description of the Building in our 
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the list below for a detailed description of the Building in our 
            
t
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Ingolstadt LoD3 dataset:\r\n\r\n- Building consists of:\r\n-- Ground 
t
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Ingolstadt LoD3 dataset:\r\n\r\nThe building consists of:\r\n- Ground 
            
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Surfaces\r\n-- Roof Surfaces\r\n-- Wall Surfaces\r\n-- Outer Ceiling 
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Surfaces\r\n- Roof Surfaces\r\n- Wall Surfaces\r\n- Outer Ceiling 
            
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Surfaces\r\n\r\n\r\nTo ensure the highest accuracy geometrically as 
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Surfaces\r\n- Outer Floor Surfaces\r\n- Closure Surfaces\r\n- Windows 
            
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well as semantically, the dataset was manually modeled based on the 
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modeled in detail\r\n- Doors modeled in detail\r\n- Building 
            
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mobile laser scannings (MLS) provided by the company [3D Mapping 
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Installations (Balconies, Passages, Arcades, Loggias, Stairs and 
            
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Porches, (Some) Dormers )\r\n- Textures (approximated based on visual 
            
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inspection)\r\n\r\nBuilding does NOT consist of:\r\n- Overhanging 
            
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Building Elements\r\n- Roof structure details\r\n- Objects located in 
            
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the Building's backyard (not facing the street)\r\n- Building 
            
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Installations (Chimneys, Rain Gutters, (Some) Dormers, Real (e.g. 
            
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orthophoto) textures)\r\n\r\nThe terminology according to 
            
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Objects_-_Part_2:_Modeling_of_Buildings_(LoD1,_LoD2,_LoD3)).\r\n\r\nTo 
            
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ensure the highest accuracy geometrically as well as semantically, the 
            
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dataset was manually modeled based on the mobile laser scannings (MLS) 
            
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provided by the company [3D Mapping Solutions 
            
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Solutions GmbH](https://www.3d-mapping.de/en/) (relative accuracy in 
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GmbH](https://www.3d-mapping.de/en/) (relative accuracy in the range 
            
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the range of 1-3cm). Moreover, a complementary 
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of 1-3cm). Moreover, a complementary 
            
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[OpenDRIVE](https://www.asam.net/standards/detail/opendrive/) dataset 
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[OpenDRIVE](https://www.asam.net/standards/detail/opendrive/) dataset 
            
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is available, which includes the road network, traffic lights, fences, 
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is available, which includes the road network, traffic lights, fences, 
            
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vegetation and so on:\r\n\r\n<ul>\r\n  <li>CityGML & SketchUp\r\n    
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vegetation and so on:\r\n\r\n<ul>\r\n  <li>CityGML & SketchUp\r\n    
            
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<ul>\r\n      <li>Download via the <a 
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<ul>\r\n      <li>Download via the <a 
            
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"https://github.com/savenow/lod3-road-space-models/releases\">releases 
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"https://github.com/savenow/lod3-road-space-models/releases\">releases 
            
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section</a></li>\r\n      <li>Please note, that the 'Download ZIP' 
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section</a></li>\r\n      <li>Please note, that the 'Download ZIP' 
            
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button doesn't include the project files due to <a 
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button doesn't include the project files due to <a 
            
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href=\"https://git-lfs.com/\">Git LFS</a> </li>\r\n\t </ul>\r\n  
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href=\"https://git-lfs.com/\">Git LFS</a> </li>\r\n\t </ul>\r\n  
            
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<li>OpenDRIVE</li>\r\n      <ul>\r\n      <li>Download via the <a 
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<li>OpenDRIVE</li>\r\n      <ul>\r\n      <li>Download via the <a 
            
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href=\"https://www.3d-mapping.de/en/customer-area/demo-data/\">website 
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href=\"https://www.3d-mapping.de/en/customer-area/demo-data/\">website 
            
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of 3D Mapping Solutions</a> (initial registration required)</li>\r\n      
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of 3D Mapping Solutions</a> (initial registration required)</li>\r\n      
            
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<li>Relevant OpenDRIVE dataset is named *Ingolstadt Innercity Halls* 
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<li>Relevant OpenDRIVE dataset is named *Ingolstadt Innercity Halls* 
            
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and can be found in the demo data area </li>\r\n\t  <li>Conversion to 
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and can be found in the demo data area </li>\r\n\t  <li>Conversion to 
            
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CityGML can be carried out using the tool <a 
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CityGML can be carried out using the tool <a 
            
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href=\"https://rtron.io\">r:tr\u00e5n</a></li>\r\n\t </ul> \r\n 
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href=\"https://rtron.io\">r:tr\u00e5n</a></li>\r\n\t </ul> \r\n 
            
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</ul>\r\n\r\nFurther Information:\r\n<ul>\r\n  <li>Overview:<a 
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</ul>\r\n\r\nFurther Information:\r\n<ul>\r\n  <li>Overview:<a 
            
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252B308%26maxSizeOfCachedTiles%3D200%26maxCountOfVisibleTiles%3D200\"> 
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252B308%26maxSizeOfCachedTiles%3D200%26maxCountOfVisibleTiles%3D200\"> 
            
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Web-Map-Client</a> (LoD3 models combined with converted OpenDRIVE 
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Web-Map-Client</a> (LoD3 models combined with converted OpenDRIVE 
            
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dataset)</li>\r\n  <li>Creation guideline: <a 
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dataset)</li>\r\n  <li>Creation guideline: <a 
            
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/creation-guidelines/lod3-models-based-on-point-clouds.html\">Creating 
91
/creation-guidelines/lod3-models-based-on-point-clouds.html\">Creating 
            
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LoD3 Models Based on Point Clouds</a></li>\r\n  <li> License:<a 
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LoD3 Models Based on Point Clouds</a></li>\r\n  <li> License:<a 
            
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ps://github.com/savenow/lod3-road-space-models/blob/main/LICENSE\">(CC 
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ps://github.com/savenow/lod3-road-space-models/blob/main/LICENSE\">(CC 
            
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BY-SA 4.0)</a></li>\r\n</ul>\r\n\r\n<div>\r\n<img 
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BY-SA 4.0)</a></li>\r\n</ul>\r\n\r\n<div>\r\n<img 
            
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-road-space-models/main/documentation/images/lod3-models-citygml.png\" 
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-road-space-models/main/documentation/images/lod3-models-citygml.png\" 
            
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alt=\"B3\" width=\"800px\">\r\n<br>\r\n</br>\r\n<img 
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alt=\"B3\" width=\"800px\">\r\n<br>\r\n</br>\r\n<img 
            
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/main/documentation/images/lod3-models-citygml-with-point-clouds.png\" 
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/main/documentation/images/lod3-models-citygml-with-point-clouds.png\" 
            
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alt=\"B3\" width=\"800px\">\r\n<br>\r\n</br>\r\n<img 
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alt=\"B3\" width=\"800px\">\r\n<br>\r\n</br>\r\n<img 
            
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models/main/documentation/images/lod3-models-citygml-overview-3d.png\" 
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models/main/documentation/images/lod3-models-citygml-overview-3d.png\" 
            
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alt=\"B3\" width=\"800px\">\r\n</div>",
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alt=\"B3\" width=\"800px\">\r\n</div>",
            
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      "description": "LoD3 Road Space Models",
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