Chapter Image Segmentation Applied to Urban Surface and Aerial Constraints Analysis
The rapid progress of artificial intelligence (AI) has prompted the exploration of its potential applications in the construction industry, although at a slower rate. Since the starting point of a design is the analysis of the site’s constraints, the purpose of the ongoing research is the applicatio...
Guardat en:
| Autors principals: | , |
|---|---|
| Format: | Online |
| Idioma: | anglès |
| Publicat: |
Firenze University Press
2024
|
| Matèries: | |
| Accés en línia: | ONIX_20240402_9791221502893_11 |
| Etiquetes: |
Sense etiquetes, Sigues el primer a etiquetar aquest registre!
|
| _version_ | 1869531304892039168 |
|---|---|
| author | Trani, Marco Lorenzo Madaschi, Federica |
| author_browse | Madaschi, Federica Trani, Marco Lorenzo |
| author_facet | Trani, Marco Lorenzo Madaschi, Federica |
| author_sort | Trani, Marco Lorenzo |
| collection | Directory of Open Access Books |
| description | The rapid progress of artificial intelligence (AI) has prompted the exploration of its potential applications in the construction industry, although at a slower rate. Since the starting point of a design is the analysis of the site’s constraints, the purpose of the ongoing research is the application of artificial intelligence in risk assessment for site areas. The primary objective of this research project is to develop an interactive map that employs AI to identify potential surface and aerial interferences. This map aims to support planners, engineers, and architects during the site context analysis phase by providing real-time visualization of obstacles. The interactive map allows users to explore and analyze identified obstacles, enabling cluster markers and filtering of features. The results obtained from applying this approach in Milan, Italy, demonstrate its functionality and usability, highlighting the tool's ability to provide valuable information in both localized and citywide scenarios. Potential improvements such as size assessment and advanced marker generation are also being examined to enhance the management of surface and air interferences. The goal is to enhance the tool's functionality, accuracy, and planning efficiency in construction projects |
| format | Online |
| id | doab-20.500.12854ir-136086 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | Firenze University Press |
| publisherStr | Firenze University Press |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1360862025-07-18T09:46:45Z Chapter Image Segmentation Applied to Urban Surface and Aerial Constraints Analysis Trani, Marco Lorenzo Madaschi, Federica Image Segmentation Risk Assessment Construction Site Clustering Techniques thema EDItEUR::U Computing and Information Technology thema EDItEUR::U Computing and Information Technology The rapid progress of artificial intelligence (AI) has prompted the exploration of its potential applications in the construction industry, although at a slower rate. Since the starting point of a design is the analysis of the site’s constraints, the purpose of the ongoing research is the application of artificial intelligence in risk assessment for site areas. The primary objective of this research project is to develop an interactive map that employs AI to identify potential surface and aerial interferences. This map aims to support planners, engineers, and architects during the site context analysis phase by providing real-time visualization of obstacles. The interactive map allows users to explore and analyze identified obstacles, enabling cluster markers and filtering of features. The results obtained from applying this approach in Milan, Italy, demonstrate its functionality and usability, highlighting the tool's ability to provide valuable information in both localized and citywide scenarios. Potential improvements such as size assessment and advanced marker generation are also being examined to enhance the management of surface and air interferences. The goal is to enhance the tool's functionality, accuracy, and planning efficiency in construction projects 2024-04-04T04:32:57Z 2024-04-04T04:32:57Z 2024-04-02T15:44:33Z 2023 chapter ONIX_20240402_9791221502893_11 2704-5846 https://library.oapen.org/handle/20.500.12657/89042 9791221502893 https://directory.doabooks.org/handle/20.500.12854/136086 eng Proceedings e report open access image/jpeg n/a https://library.oapen.org/bitstream/20.500.12657/89042/1/9791221502893_90.pdf Firenze University Press 10.36253/979-12-215-0289-3.90 10.36253/979-12-215-0289-3.90 2ec4474d-93b1-4cfa-b313-9c6019b51b1a 9791221502893 10 Florence open access |
| spellingShingle | Image Segmentation Risk Assessment Construction Site Clustering Techniques thema EDItEUR::U Computing and Information Technology thema EDItEUR::U Computing and Information Technology Trani, Marco Lorenzo Madaschi, Federica Chapter Image Segmentation Applied to Urban Surface and Aerial Constraints Analysis |
| title | Chapter Image Segmentation Applied to Urban Surface and Aerial Constraints Analysis |
| title_full | Chapter Image Segmentation Applied to Urban Surface and Aerial Constraints Analysis |
| title_fullStr | Chapter Image Segmentation Applied to Urban Surface and Aerial Constraints Analysis |
| title_full_unstemmed | Chapter Image Segmentation Applied to Urban Surface and Aerial Constraints Analysis |
| title_short | Chapter Image Segmentation Applied to Urban Surface and Aerial Constraints Analysis |
| title_sort | chapter image segmentation applied to urban surface and aerial constraints analysis |
| topic | Image Segmentation Risk Assessment Construction Site Clustering Techniques thema EDItEUR::U Computing and Information Technology thema EDItEUR::U Computing and Information Technology |
| topic_facet | Image Segmentation Risk Assessment Construction Site Clustering Techniques thema EDItEUR::U Computing and Information Technology thema EDItEUR::U Computing and Information Technology |
| url | ONIX_20240402_9791221502893_11 |
| work_keys_str_mv | AT tranimarcolorenzo chapterimagesegmentationappliedtourbansurfaceandaerialconstraintsanalysis AT madaschifederica chapterimagesegmentationappliedtourbansurfaceandaerialconstraintsanalysis |