SLABIM: A SLAM-BIM Coupled Dataset in HKUST Main Building
Fuente:
arXiv
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| Autores principales: | , , , , , , |
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| Formato: | Preprint |
| Publicado: |
2025
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1866929728682721280 |
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| author | Huang, Haoming Qiao, Zhijian Yu, Zehuan Liu, Chuhao Shen, Shaojie Zhang, Fumin Yin, Huan |
| author_facet | Huang, Haoming Qiao, Zhijian Yu, Zehuan Liu, Chuhao Shen, Shaojie Zhang, Fumin Yin, Huan |
| contents | Existing indoor SLAM datasets primarily focus on robot sensing, often lacking building architectures. To address this gap, we design and construct the first dataset to couple the SLAM and BIM, named SLABIM. This dataset provides BIM and SLAM-oriented sensor data, both modeling a university building at HKUST. The as-designed BIM is decomposed and converted for ease of use. We employ a multi-sensor suite for multi-session data collection and mapping to obtain the as-built model. All the related data are timestamped and organized, enabling users to deploy and test effectively. Furthermore, we deploy advanced methods and report the experimental results on three tasks: registration, localization and semantic mapping, demonstrating the effectiveness and practicality of SLABIM. We make our dataset open-source at https://github.com/HKUST-Aerial-Robotics/SLABIM. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2502_16856 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | SLABIM: A SLAM-BIM Coupled Dataset in HKUST Main Building Huang, Haoming Qiao, Zhijian Yu, Zehuan Liu, Chuhao Shen, Shaojie Zhang, Fumin Yin, Huan Robotics Existing indoor SLAM datasets primarily focus on robot sensing, often lacking building architectures. To address this gap, we design and construct the first dataset to couple the SLAM and BIM, named SLABIM. This dataset provides BIM and SLAM-oriented sensor data, both modeling a university building at HKUST. The as-designed BIM is decomposed and converted for ease of use. We employ a multi-sensor suite for multi-session data collection and mapping to obtain the as-built model. All the related data are timestamped and organized, enabling users to deploy and test effectively. Furthermore, we deploy advanced methods and report the experimental results on three tasks: registration, localization and semantic mapping, demonstrating the effectiveness and practicality of SLABIM. We make our dataset open-source at https://github.com/HKUST-Aerial-Robotics/SLABIM. |
| title | SLABIM: A SLAM-BIM Coupled Dataset in HKUST Main Building |
| topic | Robotics |
| url | https://arxiv.org/abs/2502.16856 |