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The Innovation Informatics > 2026 Vol. 2 > No. 1 > 100018
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Autonomous UAV systems with few-shot visual intelligence for process-aware construction monitoring

  • 1.

    School of Civil Engineering, Architecture and The Environment, Hubei University of Technology, Wuhan 430068, China

  • 2.

    China Construction Third Engineering Bureau Technology Innovation Industry Development Co., Ltd., Wuhan 430050, China

  • 3.

    Department of Engineering, University of Cambridge, Cambridge CB2 1PZ, United Kingdom

  • 4.

    School of Computer Science and Artificial Intelligence, Wuhan University of Technology, Wuhan 430070, China

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The Innovation Informatics  2(1),  https://doi.org/10.59717/j.xinn-inform.2026.100018  |  Cite this article
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    • REFERENCES
  • [1] Liu Y., Liu C., Wang B., et al. (2025). CAGE: Continuity-aware edge network unlocks robust floorplan reconstruction. arXiv preprint. DOI:10.48550/arXiv.2509.15459

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    [5] Zhang J., Li A., Qi Y., et al. (2025). Embodied navigation foundation model. arXiv preprint. DOI:10.48550/arXiv.2509.12129

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  • Cite this article:

    Zou Y., Liang T., Xu Z., et al. (2026). Autonomous UAV systems with few-shot visual intelligence for process-aware construction monitoring. The Innovation Informatics 2:100018. https://doi.org/10.59717/j.xinn-inform.2026.100018
    Zou Y., Liang T., Xu Z., et al. (2026). Autonomous UAV systems with few-shot visual intelligence for process-aware construction monitoring. The Innovation Informatics 2:100018. https://doi.org/10.59717/j.xinn-inform.2026.100018

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