MOTION DETECTION and TRACKING in CONSTRUCTION SPACE USING TEMPORAL POINT CLOUDS

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Conventional ICT construction vehicles have been developed to improve productivity. However, the conventional ICT construction vehicles have several technical issues in cooperated operations with workers. Therefore, we focus on a methodology to keep the safety in cooperated operations with workers and construction vehicles at a construction site. Our proposed methodology is based on 3D sensing from a construction. In 3D sensing, temporal point clouds are acquired for moving object tracking. Moreover, we develop an exterior-typed 3D measurement unit with low-price RTK-GNSS and LiDAR to provide lower-price ICT construction vehicles. In this research, we experimented excavation works using a backhoe at a simulated construction space. Through the experiment, we confirmed that our methodology can detect and track the bucket and workers using temporal point clouds acquired from a backhoe in drilling works.

Original languageEnglish
Title of host publication42nd Asian Conference on Remote Sensing, ACRS 2021
PublisherAsian Association on Remote Sensing
ISBN (Electronic)9781713843818
Publication statusPublished - 2021
Event42nd Asian Conference on Remote Sensing, ACRS 2021 - Can Tho, Viet Nam
Duration: 2021 Nov 222021 Nov 26

Publication series

Name42nd Asian Conference on Remote Sensing, ACRS 2021

Conference

Conference42nd Asian Conference on Remote Sensing, ACRS 2021
Country/TerritoryViet Nam
CityCan Tho
Period21/11/2221/11/26

Keywords

  • Construction vehicle
  • Object classification
  • Object Recognition
  • Object tracking
  • Point Cloud

ASJC Scopus subject areas

  • Information Systems

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