Real-time mapping of construction workers using multilayered LiDAr

Masafumi Nakagawa, Masayoshi Kaseda, Masakuni Taguchi

研究成果: Paper査読

抄録

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.

本文言語English
出版ステータス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
CountryKorea, Republic of
CityDaejeon
Period19/10/1419/10/18

ASJC Scopus subject areas

  • Information Systems

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