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Continuous Social Distance Monitoring in Indoor Space

Summary: Continuous SDM in indoor spaces with real-time, uncertain-location trajectories, tracking and predicting pairwise distances among people. Framework handles current and near-future uncertainty with efficient updates; validated on real/synthetic data. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12834
Venue
VLDB
Year
2022
Pagerank
5.093636e-05
Overall Rank
11,568 | 20.64%
DOI
10.14778/3523210.3523217

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Authors

BibTeX Citation

@article{chan_vldb22,
        title = {{Continuous Social Distance Monitoring in Indoor Space}},
        author = {Chan, Harry Kai-Ho and Li, Huan and Li, Xiao and Lu, Hua},
        journal = {PVLDB},
        series = {{VLDB} '22},
        volume = {15},
        number = {7},
        pages = {1390--1402},
        doi = {10.14778/3523210.3523217},
        url = {https://doi.org/10.14778/3523210.3523217},
        year = {2022}
}

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