Beyond Conventional Monitoring: A Semantic Segmentation Approach to Quantifying Traffic-Induced Dust on Unsealed Roads

Road dust is a mixture of fine and coarse particles released into the air due to an external force, such as tire–ground friction or wind, which is harmful to human health when inhaled. Continuous dust emission from the road surfaces is detrimental to the road itself and the road users. Due to this,...

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書誌詳細

出版年:	Sensors
主要な著者:	Asanka de Silva, Rajitha Ranasinghe, Arooran Sounthararajah, Hamed Haghighi, Jayantha Kodikara
フォーマット:	論文
言語:	英語
出版事項:	MDPI AG 2024-01-01
主題:	dust dust monitoring dust quantification deep learning machine learning road dust
オンライン･アクセス:	https://www.mdpi.com/1424-8220/24/2/510