A real-time 3D modeling method for buildings driven by IMU and RGB-D fusion
With the rapid development of cutting-edge technologies such as autonomous driving, augmented reality, and intelligent robotics, real-time 3D scene reconstruction is increasingly demonstrating its crucial value in diverse application domains. However, 3D reconstruction faces challenges such as redun...
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2025-08-01
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| Series: | International Journal of Digital Earth |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/17538947.2025.2506496 |
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| _version_ | 1849224345826623488 |
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| author | Yuhan Gao Chao Dang Jun Zhu Yakun Xie Ya Hu Chunli Yan Kun Yi Chuan Yi Xue Li |
| author_facet | Yuhan Gao Chao Dang Jun Zhu Yakun Xie Ya Hu Chunli Yan Kun Yi Chuan Yi Xue Li |
| author_sort | Yuhan Gao |
| collection | DOAJ |
| description | With the rapid development of cutting-edge technologies such as autonomous driving, augmented reality, and intelligent robotics, real-time 3D scene reconstruction is increasingly demonstrating its crucial value in diverse application domains. However, 3D reconstruction faces challenges such as redundant data acquisition, inaccurate pose estimation, and insufficient reconstruction precision, making it difficult to support rapid visualization and measurement analysis. Therefore, this paper proposes an innovative real-time 3D modeling method for buildings driven by IMU and RGB-D fusion. The method incorporates an adaptive sampling strategy for RGB-D cameras based on IMU data calibration, introduces a pose estimation optimization algorithm that combines dynamic feature point cluster centroid prediction with bias detection, establishes a progressive 3D modeling approach constrained by structural features, and develops a prototype system for in-depth case study analysis. Experimental results demonstrate that, compared to existing methods, our approach achieves significant improvements across multiple metrics: data redundancy is reduced by 31%, dynamic object detection precision reaches 93.2%, computational latency decreases by 13.9%, and spatial accuracy improves by 29.0%. This approach enables rapid 3D reconstruction of building environments, automating structural measurements and analysis while significantly reducing manual effort, making it beneficial for applications in smart city development and digital twin implementation. |
| format | Article |
| id | doaj-art-1cb75671db6140a19c8f9905be8fdac7 |
| institution | Kabale University |
| issn | 1753-8947 1753-8955 |
| language | English |
| publishDate | 2025-08-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | International Journal of Digital Earth |
| spelling | doaj-art-1cb75671db6140a19c8f9905be8fdac72025-08-25T11:24:47ZengTaylor & Francis GroupInternational Journal of Digital Earth1753-89471753-89552025-08-0118110.1080/17538947.2025.2506496A real-time 3D modeling method for buildings driven by IMU and RGB-D fusionYuhan Gao0Chao Dang1Jun Zhu2Yakun Xie3Ya Hu4Chunli Yan5Kun Yi6Chuan Yi7Xue Li8Faculty of Geosciences and Engineering, Southwest Jiaotong University, Chengdu, People’s Republic of ChinaFaculty of Geosciences and Engineering, Southwest Jiaotong University, Chengdu, People’s Republic of ChinaFaculty of Geosciences and Engineering, Southwest Jiaotong University, Chengdu, People’s Republic of ChinaFaculty of Geosciences and Engineering, Southwest Jiaotong University, Chengdu, People’s Republic of ChinaFaculty of Geosciences and Engineering, Southwest Jiaotong University, Chengdu, People’s Republic of ChinaFaculty of Geosciences and Engineering, Southwest Jiaotong University, Chengdu, People’s Republic of ChinaFaculty of Geosciences and Engineering, Southwest Jiaotong University, Chengdu, People’s Republic of ChinaFaculty of Geosciences and Engineering, Southwest Jiaotong University, Chengdu, People’s Republic of ChinaFaculty of Geosciences and Engineering, Southwest Jiaotong University, Chengdu, People’s Republic of ChinaWith the rapid development of cutting-edge technologies such as autonomous driving, augmented reality, and intelligent robotics, real-time 3D scene reconstruction is increasingly demonstrating its crucial value in diverse application domains. However, 3D reconstruction faces challenges such as redundant data acquisition, inaccurate pose estimation, and insufficient reconstruction precision, making it difficult to support rapid visualization and measurement analysis. Therefore, this paper proposes an innovative real-time 3D modeling method for buildings driven by IMU and RGB-D fusion. The method incorporates an adaptive sampling strategy for RGB-D cameras based on IMU data calibration, introduces a pose estimation optimization algorithm that combines dynamic feature point cluster centroid prediction with bias detection, establishes a progressive 3D modeling approach constrained by structural features, and develops a prototype system for in-depth case study analysis. Experimental results demonstrate that, compared to existing methods, our approach achieves significant improvements across multiple metrics: data redundancy is reduced by 31%, dynamic object detection precision reaches 93.2%, computational latency decreases by 13.9%, and spatial accuracy improves by 29.0%. This approach enables rapid 3D reconstruction of building environments, automating structural measurements and analysis while significantly reducing manual effort, making it beneficial for applications in smart city development and digital twin implementation.https://www.tandfonline.com/doi/10.1080/17538947.2025.2506496Real-time 3D modelingbuildingsmulti-source data fusion drivenORB-SLAM improvement |
| spellingShingle | Yuhan Gao Chao Dang Jun Zhu Yakun Xie Ya Hu Chunli Yan Kun Yi Chuan Yi Xue Li A real-time 3D modeling method for buildings driven by IMU and RGB-D fusion International Journal of Digital Earth Real-time 3D modeling buildings multi-source data fusion driven ORB-SLAM improvement |
| title | A real-time 3D modeling method for buildings driven by IMU and RGB-D fusion |
| title_full | A real-time 3D modeling method for buildings driven by IMU and RGB-D fusion |
| title_fullStr | A real-time 3D modeling method for buildings driven by IMU and RGB-D fusion |
| title_full_unstemmed | A real-time 3D modeling method for buildings driven by IMU and RGB-D fusion |
| title_short | A real-time 3D modeling method for buildings driven by IMU and RGB-D fusion |
| title_sort | real time 3d modeling method for buildings driven by imu and rgb d fusion |
| topic | Real-time 3D modeling buildings multi-source data fusion driven ORB-SLAM improvement |
| url | https://www.tandfonline.com/doi/10.1080/17538947.2025.2506496 |
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