The paper mainly concentrates on traffic counting problems during the outbreak of the Covid-19 pandemic from June 2021. The performance of the AI-based ...
Nov 24, 2022 · This paper studies a real-time traffic density analyzer based on target detection. Based on the development of deep learning technology in ...
This paper presents the deployment of an AI-based application at the Ho Chi Minh City Department of Transportation. The paper mainly concentrates on traffic ...
In this paper, we introduce experiments on our traffic counting application, which has been used to observe traffic flow at a few hotspots in Ho Chi Minh. City.
Dec 10, 2024 · In this study, we introduce a low-cost and effective edge-based system integrating object detection models to perform vehicle detecting, ...
It seeks to detect “anomaly events” such as traffic violations, traffic jams, and accidents, with reduced intervention from monitoring staff, allowing staff, in ...
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Jun 28, 2021 · In this study, we introduce a low-cost and effective edge-based system integrating object detection models to perform vehicle detecting, ...
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Sep 5, 2022 · Vietnam successfully develops AI-based ... Every year, about 1.3 million people are killed in car traffic accidents. The reason for 60% of the ...
Jun 28, 2021 · In this study, we introduce a low-cost and effective edge-based system integrating object detection models to perform vehicle detecting, ...