AI-Empowered Decision Support for COVID-19 Social Distancing

Jiang, H. C.; Lim, W. Y. B.; Ng, J. S.; Teng, H. Z. C.; Yu, H.; Xiong, Z. H.; Niyato, D.; Miao, C. Y.; Assoc Advancement Artificial, Intelligence

Jiang, H. C.; Lim, W. Y. B.; Ng, J. S.; Teng, H. Z. C.; Yu, H.; Xiong, Z. H.; Niyato, D.; Miao, C. Y.; Assoc Advancement Artificial, Intelligence.

35th AAAI Conference on Artificial Intelligence / 33rd Conference on Innovative Applications of Artificial Intelligence / 11th Symposium on Educational Advances in Artificial Intelligence ; 35:16044-16047, 2021.

Article in English | Web of Science | ID: covidwho-1436787

ABSTRACT

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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Collection: Databases of international organizations Database: Web of Science Language: English Journal: 33rd Conference on Innovative Applications of Artificial Intelligence Year: 2021 Document Type: Article

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