RESEARCH FOR TRACKING BOTH WORKERS AND CONSTRUCTION VEHICLES CONSIDERING OCCLUSION IN CONSTRUCTION SITES
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- XIAO Zhiwei
- 関西大学大学院 総合情報学研究科
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- JIANG Wenyuan
- 関西大学 先端科学技術推進機構
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- YAMAMOTO Yuhei
- 関西大学 環境都市工学部
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- NAKAMURA Kenji
- 大阪経済大学 情報社会学部
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- TANAKA Chihiro
- 関西大学 先端科学技術推進機構
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- TANAKA Shigenori
- 関西大学 総合情報学部
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- NARUO Takeshi
- 関西大学 先端科学技術推進機構
Bibliographic Information
- Other Title
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- 建設現場におけるオクルージョンを考慮した作業員と建機の追跡に関する研究
Abstract
<p> In Japan, owing to the steadily declining working population, innovative technologies that improve productivity in construction sites using i-Construction are urgently required. This necessitates the tracking of not only construction vehicles but also workers using technologies such as AI and IoT. Against this background, many technologies that were able to track both workers and construction equipment on construction sites had been developed. However, challenging subjects for automating tracking tasks remained as those technologies were applied in sections where extended and heavy occlusion occurs frequently. Therefore, an identification method that matches appearance features of workers and construction vehicles before and after occlusion is proposed in this research, thereby contributing to the development of tracking technologies that enable successive tracking through occlusion sections. Experiments conducted using videos from actual construction sites showed that the method was capable of restoring tracking progress in occlusion sections by identifying each worker and construction vehicles individually before and after each section.</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_189-I_198, 2022
Japan Society of Civil Engineers
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Details 詳細情報について
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- CRID
- 1390291767698769408
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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