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BIMIL: Automatic Generation of BIM-Based Indoor Localization User Interface for Emergency Response

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HCI International 2020 – Late Breaking Posters (HCII 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1293))

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Abstract

Effective communications among team members enable them to stay resilient and make rapid decisions when they are facing uncertainty and complexity during an incident with time and resource constraints. With the rapidly-expanding indoor positioning technologies that support public safety operations, a more efficient and effective building information platform is needed to support indoor location data visualization and coordination efforts. On the other hand, building information modeling (BIM) has been widely accepted in the Architecture, Engineering, and Construction (AEC) industry as a central repository of building information. BIM does not only include accurate geometric building data and sufficient semantic information but also could be integrated with real-time smart building data. The ultimate goal of this research effort is to bridge the technology gap between various emerging indoor positioning technologies and abundant building information and thus to overcome the main shortcoming of the existing indoor building model. A BIM-based Indoor Location (BIMIL) portal is designed in this work for automatic data extraction, visualization, and transformation of BIM emergency-related data for public safety purposes. Subsequently, the new generalized building 3D model can be overlaid with indoor positioning data to support emergency responses.

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Acknowledgements

We acknowledge the financial support by the US NIST, Public Safety Innovation Acceleration Program Award 2017: First Responder Indoor Location Using LTE Direct Mode Operations via BIM.

Author information

Authors and Affiliations

  1. Department of Architectural Engineering, Pennsylvania State University, Pennsylvania, US

    Yanxiao Feng & Julian Wang

  2. Department of Electrical Engineering and Computer Science, University of Cincinnati, Cincinnati, US

    Howard Fan

  3. Aoyuan Commercial Property Group, Guangdong, China

    Ce Gao

Authors
  1. Yanxiao Feng
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  2. Julian Wang
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  3. Howard Fan
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  4. Ce Gao
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Corresponding author

Correspondence to Julian Wang .

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Editors and Affiliations

  1. University of Crete and Foundation for Research and Technology – Hellas (FORTH), Heraklion, Crete, Greece

    Constantine Stephanidis

  2. Foundation for Research and Technology – Hellas (FORTH), Heraklion, Crete, Greece

    Margherita Antona

  3. Foundation for Research and Technology – Hellas (FORTH), Heraklion, Crete, Greece

    Stavroula Ntoa

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Feng, Y., Wang, J., Fan, H., Gao, C. (2020). BIMIL: Automatic Generation of BIM-Based Indoor Localization User Interface for Emergency Response. In: Stephanidis, C., Antona, M., Ntoa, S. (eds) HCI International 2020 – Late Breaking Posters. HCII 2020. Communications in Computer and Information Science, vol 1293. Springer, Cham. https://doi.org/10.1007/978-3-030-60700-5_24

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  • DOI: https://doi.org/10.1007/978-3-030-60700-5_24

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-60699-2

  • Online ISBN: 978-3-030-60700-5

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