Real-time mapping of construction workers using multilayered LiDAr

Masafumi Nakagawa, Masayoshi Kaseda, Masakuni Taguchi

研究成果: Paper

抜粋

In this study, we focus on intelligent construction vehicles to improve the safety of workers. Generally, global navigation satellite system positioning is utilized to obtain the position data of workers and construction vehicles in construction sites. However, construction fields in urban areas have poor satellite positioning environments. Therefore, we have developed a 3D sensing unit mounted on a construction vehicle for worker position data acquisition. The unit mainly consists of multilayered LiDAR. Moreover, we propose a real-time object classification and tracking methodology from temporal point clouds acquired with the multilayered LiDAR. We evaluated our methodology using temporal point clouds acquired from a construction vehicle in drilling works.

元の言語English
出版物ステータスPublished - 2020 1 1
イベント40th Asian Conference on Remote Sensing: Progress of Remote Sensing Technology for Smart Future, ACRS 2019 - Daejeon, Korea, Republic of
継続期間: 2019 10 142019 10 18

Conference

Conference40th Asian Conference on Remote Sensing: Progress of Remote Sensing Technology for Smart Future, ACRS 2019
Korea, Republic of
Daejeon
期間19/10/1419/10/18

ASJC Scopus subject areas

  • Information Systems

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  • これを引用

    Nakagawa, M., Kaseda, M., & Taguchi, M. (2020). Real-time mapping of construction workers using multilayered LiDAr. 論文発表場所 40th Asian Conference on Remote Sensing: Progress of Remote Sensing Technology for Smart Future, ACRS 2019, Daejeon, Korea, Republic of.