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Summary & Details

Activity of Monitoring Working Group

モニタリングワーキングの活動について

Delivery: Available on this site

Format: PDF

Price: Non-members (tax incl.)：￥1,100 Members (tax incl.)：￥880

Publication code: 20234813

Paper/Info type: Forum Text (Online)

No.23-W8

Pages: 1-20(Total 20 p)

Date of publication: Jan 2024

Publisher: JSAE

Language: Japanese

Event: JSAE Forum 2023 (Winter)

Detailed Information

Category(J)	PPT資料 Translation
Category(E)	PPT slides
Author(J)	1) 鄭萬溶, 2) 栗原海, 3) 白橋良宏, 4) 山崎徹
Author(E)	1) ManYong, Jeong, 2) Kai Kurihara, 3) Yoshihiro Shirahashi, 4) Toru Yamzaki
Affiliation(J)	1) 独立行政法人国立高等専門学校機構, 2) 独立行政法人国立高等専門学校機構, 3) 独立行政法人国立高等専門学校機構, 4) 独立行政法人国立高等専門学校機構
Affiliation(E)	1) KOSEN, 2) KOSEN, 3) KOSEN, 4) KOSEN
Abstract(J)	深層学習による車両の取得技術および車両ごとの交通騒音を含む道路交通データ取得システムの構築を行うことを目的とする．車種分離，車速推定，音源分離による単体交通騒音の評価を目的とした交通モニタリングシステムの要素技術を確立し，今後の研究において性能向上，実用化の礎とする． Translation
Abstract(E)	The purpose of this project is to establish a technology for acquiring vehicles by deep learning and a system for acquiring road traffic data including traffic noise for each vehicle. The elemental technologies of the traffic monitoring system for evaluating individual traffic noise by separating vehicle types, vehicle speed estimation, and noise sources will be established as a basis for improving the performance and practical application in future research.

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