RESEARCH FOR TRAFFIC CENSUS USING SEGMENTATION OF AUTOMOBILE PARTS
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- NAKAHATA Koki
- 関西大学大学院 総合情報学研究科
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- IMAI Ryuichi
- 法政大学 デザイン工学部
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- KAMIYA Daisuke
- 琉球大学 工学部
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- YAMAMOTO Yuhei
- 関西大学 環境都市工学部
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- TANAKA Shigenori
- 関西大学 総合情報学部
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- NAKAHARA Masaya
- 大阪電気通信大学 総合情報学部
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- JIANG Wenyuan
- 関西大学 先端科学技術推進機構
Bibliographic Information
- Other Title
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- 車両部位を識別子とした交通量調査に関する研究
Abstract
<p> In Japan, road administrators perform traffic censuses to understand the status of automobile traffic. In this census, it is common for investigators to visually check the automobiles and count the numbers of passing automobiles for both small and large cars. But, it is difficult to secure workers because the working age population is decreasing. Therefore, the Ministry of Land, Infrastructure, Transport and Tourism will abolish the manual survey and consider introducing some techniques that automatically count the number of passing automobiles using video images. In existing research, techniques for the classification of automobile type have been developed using machine learning or deep learning. These techniques are not yet accurate enough to be used in practice. In this research, we develop a technique to count the number of passing automobiles for each automobile type. This technique classifies the automobile type based on the outer shape of the automobile and the shape of the parts, which investigaters pay attention to when they classify the automobile type manually. Furthermore, we clarified the usefulness of the proposed technique through some demonstration experiments.</p>
Journal
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- Journal of Japan Society of Civil Engineers, Ser. F3 (Civil Engineering Informatics)
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Journal of Japan Society of Civil Engineers, Ser. F3 (Civil Engineering Informatics) 78 (2), I_158-I_168, 2022
Japan Society of Civil Engineers
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Keywords
Details 詳細情報について
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- CRID
- 1390291767706011776
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- ISSN
- 21856591
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- Text Lang
- ja
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- Data Source
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- JaLC
- Crossref
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- Abstract License Flag
- Disallowed