Field experiments of an automated materials identification and localization model

David Grau Torrent, Carlos H. Caldas

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

9 Scopus citations

Abstract

This study assesses the reliability of active radio frequency identification devices (RFID) and Global Positioning System (GPS) sensors that, when combined with localization algorithms, can be used to locate tagged materials in construction sites. Specifically, this paper presents experiments used to assess the deviations from materials' actual positions to their estimated locations according to both centroid-based and proximity-based algorithms. The authors also analyze these deviations when considering only RFID signals with strengths stronger than certain threshold values. The results of this research also suggest that it is possible to infer relative distances from RFID-sensors to tagged-materials according to signal strength characteristics. Field experiments simulating typical construction conditions are used for testing this approach.

Original languageEnglish (US)
Title of host publicationComputing in Civil Engineering - Proceedings of the 2007 ASCE International Workshop on Computing in Civil Engineering
Pages689-696
Number of pages8
DOIs
StatePublished - Dec 1 2007
Externally publishedYes
Event2007 ASCE International Workshop on Computing in Civil Engineering - Pittsburgh, PA, United States
Duration: Jul 24 2007Jul 27 2007

Publication series

NameCongress on Computing in Civil Engineering, Proceedings

Other

Other2007 ASCE International Workshop on Computing in Civil Engineering
CountryUnited States
CityPittsburgh, PA
Period7/24/077/27/07

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Computer Science Applications

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    Torrent, D. G., & Caldas, C. H. (2007). Field experiments of an automated materials identification and localization model. In Computing in Civil Engineering - Proceedings of the 2007 ASCE International Workshop on Computing in Civil Engineering (pp. 689-696). (Congress on Computing in Civil Engineering, Proceedings). https://doi.org/10.1061/40937(261)82