Real-time mapping of construction workers using multilayered LiDAr

Masafumi Nakagawa, Masayoshi Kaseda, Masakuni Taguchi

Research output: Contribution to conferencePaper

Abstract

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.

Original languageEnglish
Publication statusPublished - 2020 Jan 1
Event40th Asian Conference on Remote Sensing: Progress of Remote Sensing Technology for Smart Future, ACRS 2019 - Daejeon, Korea, Republic of
Duration: 2019 Oct 142019 Oct 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

Keywords

  • Construction vehicle
  • Laser scanning
  • Object classification
  • Object tracking

ASJC Scopus subject areas

  • Information Systems

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  • Cite this

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