AI-Empowered Decision Support for COVID-19 Social Distancing

Hongchao Jiang, Wei Yang Bryan Lim, Jer Shyuan Ng, Harold Ze Chie Teng, Han Yu, Zehui Xiong, Dusit Niyato, Chunyan Miao

AAAI 2021 pp. 16044-16047

doi:10.1609/AAAI.V35I18.18007 /aaai/2021/jiang2021aaai-ai/

Abstract

The COVID-19 pandemic is one of the most severe challenges the world faces today. In order to contain the transmission of COVID-19, people around the world have been advised to practise social distancing. However, maintaining social distance is a challenging problem, as we often do not know beforehand how crowded the places we intend to visit are. In this paper, we demonstrate crowded.sg, an AI-empowered platform that leverages on Unmanned Aerial Vehicles (UAVs), crowdsourced images, and computer vision techniques to provide social distancing decision support.

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Cite

Text

Jiang et al. "AI-Empowered Decision Support for COVID-19 Social Distancing." AAAI Conference on Artificial Intelligence, 2021. doi:10.1609/AAAI.V35I18.18007

Markdown

[Jiang et al. "AI-Empowered Decision Support for COVID-19 Social Distancing." AAAI Conference on Artificial Intelligence, 2021.](https://mlanthology.org/aaai/2021/jiang2021aaai-ai/) doi:10.1609/AAAI.V35I18.18007

BibTeX

@inproceedings{jiang2021aaai-ai,
  title     = {{AI-Empowered Decision Support for COVID-19 Social Distancing}},
  author    = {Jiang, Hongchao and Lim, Wei Yang Bryan and Ng, Jer Shyuan and Teng, Harold Ze Chie and Yu, Han and Xiong, Zehui and Niyato, Dusit and Miao, Chunyan},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2021},
  pages     = {16044-16047},
  doi       = {10.1609/AAAI.V35I18.18007},
  url       = {https://mlanthology.org/aaai/2021/jiang2021aaai-ai/}
}