Forward-Backward Approach for 3D Event Localization Using Commodity Smartphones for Ubiquitous Context-Aware Applications in Civil and Infrastructure Engineering

Hyungchul Yoon, Youngjib Ham, Mani Golparvar-Fard, Billie F. Spencer

Research output: Contribution to journalArticle

Abstract

An inexpensive and robust 3D localization system for tracking the position of a user in GPS- or WLAN-denied environments offers significant potential for improving decision-making tasks for civil and infrastructure engineering applications. To this end, an infrastructure-free approach for 3D event localization on commodity smartphones is presented. In the proposed method, the position of the user is continuously tracked based on the smartphone sensory data (the Forward approach) until the user reaches a certain event. Here, an event location refers to the 3D location of a user conducting value-added activities such as tasks involved in emergency response and field reporting of operational issues. Once an event is observed, the motion trajectory of the user is backtracked from the postevent landmark to reestimate the location of the event (the Backward approach). By integrating probability distributions of the Forward and Backward approaches together, the proposed method derives the most-likely location of the event. To validate the proposed approach, seven case studies are conducted in a multistory parking garage. The experimental results show that the probabilistic integration of the localization results from the Forward and Backward dead reckonings can produce more accurate 3D localization results when compared to a single best estimate from a one-way dead reckoning process. Lessons learned from several real-world case studies and open research challenges in improving localization accuracy are discussed in detail.

Original languageEnglish (US)
Pages (from-to)245-260
Number of pages16
JournalComputer-Aided Civil and Infrastructure Engineering
Volume31
Issue number4
DOIs
StatePublished - Apr 1 2016

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Smartphones
Wireless local area networks (WLAN)
Probability distributions
Global positioning system
Decision making
Trajectories

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Computer Science Applications
  • Computer Graphics and Computer-Aided Design
  • Computational Theory and Mathematics

Cite this

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