An innovative framework for incorporating iPhone LiDAR point cloud in digitized documentation of road operations
The transformation of road infrastructures with digital solutions is vital in response to the growing population in urban areas. Ensuring timely repairs of potholes, cracks, and other damages is essential for enhancing the overall quality of transportation networks. The integration of advanced techn...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-03-01
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| Series: | Results in Engineering |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590123025000416 |
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| author | Srikulnath Nilnoree Tsukasa Mizutani |
| author_facet | Srikulnath Nilnoree Tsukasa Mizutani |
| author_sort | Srikulnath Nilnoree |
| collection | DOAJ |
| description | The transformation of road infrastructures with digital solutions is vital in response to the growing population in urban areas. Ensuring timely repairs of potholes, cracks, and other damages is essential for enhancing the overall quality of transportation networks. The integration of advanced technologies, such as Light Detection and Ranging (LiDAR), into road maintenance represents an emerging solution in engineering applications and infrastructure management. However, the current practices of as-is documentation in local road maintenance have limitations due to time restrictions and practicalities. To address these gaps and unlock the immense potential of iPhone LiDAR technology, this article proposes an innovative workflow that integrates iPhone 13 Pro LiDAR technology with Augmented Reality (AR) marks and the Global Navigation Satellite System (GNSS) to enable digitized multi-scene road maintenance documentation and revolutionize current practices. To handle the dynamic scenarios encountered in road maintenance, the study introduces object-based fine registration techniques. These techniques provide a simple, effective, and adaptable approach to improve alignment in multi-scenes with limited overlap. Following the fine registration process, the captured data is digitized to construct 2D elevation heat maps, offering advanced and comprehensive information for managing road maintenance operations. Through a case study, the practicality and value of utilizing iPhone LiDAR technology in real-world scenarios are highlighted. The findings underscore how this technology can significantly enhance road maintenance operations and contribute to more efficient and effective management of road infrastructure. The adoption of digital solutions and the utilization of iPhone LiDAR technology enable enhanced road maintenance practices and contribute to the ongoing development of urban environments. |
| format | Article |
| id | doaj-art-4bd55499539347e8b100ccc4c58d095b |
| institution | Kabale University |
| issn | 2590-1230 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Results in Engineering |
| spelling | doaj-art-4bd55499539347e8b100ccc4c58d095b2025-01-18T05:05:09ZengElsevierResults in Engineering2590-12302025-03-0125103953An innovative framework for incorporating iPhone LiDAR point cloud in digitized documentation of road operationsSrikulnath Nilnoree0Tsukasa Mizutani1Structural Engineering, Department of Civil and Infrastructure Engineering, Asian Institute of Technology, Pathum Thani, 12120, ThailandInstitute of Industrial Science, the University of Tokyo, Komaba 4-6-1, Meguro-ku, 153-8505, Tokyo, Japan; Corresponding author.The transformation of road infrastructures with digital solutions is vital in response to the growing population in urban areas. Ensuring timely repairs of potholes, cracks, and other damages is essential for enhancing the overall quality of transportation networks. The integration of advanced technologies, such as Light Detection and Ranging (LiDAR), into road maintenance represents an emerging solution in engineering applications and infrastructure management. However, the current practices of as-is documentation in local road maintenance have limitations due to time restrictions and practicalities. To address these gaps and unlock the immense potential of iPhone LiDAR technology, this article proposes an innovative workflow that integrates iPhone 13 Pro LiDAR technology with Augmented Reality (AR) marks and the Global Navigation Satellite System (GNSS) to enable digitized multi-scene road maintenance documentation and revolutionize current practices. To handle the dynamic scenarios encountered in road maintenance, the study introduces object-based fine registration techniques. These techniques provide a simple, effective, and adaptable approach to improve alignment in multi-scenes with limited overlap. Following the fine registration process, the captured data is digitized to construct 2D elevation heat maps, offering advanced and comprehensive information for managing road maintenance operations. Through a case study, the practicality and value of utilizing iPhone LiDAR technology in real-world scenarios are highlighted. The findings underscore how this technology can significantly enhance road maintenance operations and contribute to more efficient and effective management of road infrastructure. The adoption of digital solutions and the utilization of iPhone LiDAR technology enable enhanced road maintenance practices and contribute to the ongoing development of urban environments.http://www.sciencedirect.com/science/article/pii/S2590123025000416Road monitoringRoad inspectionLiDAR point cloudObject-based registrationiPhone LiDAR |
| spellingShingle | Srikulnath Nilnoree Tsukasa Mizutani An innovative framework for incorporating iPhone LiDAR point cloud in digitized documentation of road operations Results in Engineering Road monitoring Road inspection LiDAR point cloud Object-based registration iPhone LiDAR |
| title | An innovative framework for incorporating iPhone LiDAR point cloud in digitized documentation of road operations |
| title_full | An innovative framework for incorporating iPhone LiDAR point cloud in digitized documentation of road operations |
| title_fullStr | An innovative framework for incorporating iPhone LiDAR point cloud in digitized documentation of road operations |
| title_full_unstemmed | An innovative framework for incorporating iPhone LiDAR point cloud in digitized documentation of road operations |
| title_short | An innovative framework for incorporating iPhone LiDAR point cloud in digitized documentation of road operations |
| title_sort | innovative framework for incorporating iphone lidar point cloud in digitized documentation of road operations |
| topic | Road monitoring Road inspection LiDAR point cloud Object-based registration iPhone LiDAR |
| url | http://www.sciencedirect.com/science/article/pii/S2590123025000416 |
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