Query and Clustering of Spatio-Temporal Trajectory Big Data under the Background of COVID-19
2021 International Conference on Control and Intelligent Robotics, ICCIR 2021
; : 676-680, 2021.
Article
in English
| Scopus | ID: covidwho-1369434
ABSTRACT
With the continuous development of sensor technology, computer technology, artificial intelligence and other advanced technologies, there are more and more researches on trajectory tracking and detection technology, which have been widely used in urban planning, traffic management, safety control and other aspects. Trajectory tracking and detection has always been the focus of research by experts and scholars. The purpose of this study is to track and detect the spatial trajectory of the infected person under the current new crown virus epidemic, to timely and accurately understand the itinerary of the new crown virus infected person and to find out all the suspected contacts that the infected person may come into contact with. The current epidemic situation in various countries has made a certain contribution. © 2021 ACM.
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Collection:
Databases of international organizations
Database:
Scopus
Language:
English
Journal:
2021 International Conference on Control and Intelligent Robotics, ICCIR 2021
Year:
2021
Document Type:
Article
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