High-precision identification of contextual information in location-aware engineering applications

Authors:
Hiam M. Khoury;Vineet R. Kamat
Affiliations:
Department of Civil and Environmental Engineering, University of Michigan, 2340 G.G. Brown, 2350 Hayward, Ann Arbor, MI 48109-2125, USA;Department of Civil and Environmental Engineering, University of Michigan, 2340 G.G. Brown, 2350 Hayward, Ann Arbor, MI 48109-2125, USA
Venue:
Advanced Engineering Informatics
Year:
2009

Citing 9
Cited 3

NETMAN: the design of a collaborative wearable computer system

Mobile Networks and Applications
Using VRML in construction industry applications

VRML '00 Proceedings of the fifth symposium on Virtual reality modeling language (Web3D-VRML)
MUSA-shadow: concepts, implementation, and sample applications a location-based service supporting multiple devices

CRPIT '02 Proceedings of the Fortieth International Conference on Tools Pacific: Objects for internet, mobile and embedded applications
A User-Centered Location Model

Personal and Ubiquitous Computing
From Informing to Remembering: Ubiquitous Systems in Interactive Museums

IEEE Pervasive Computing
Collectively defining context in a mobile, networked computing environment

CHI '01 Extended Abstracts on Human Factors in Computing Systems
Tourists on the Move

CIA '02 Proceedings of the 6th International Workshop on Cooperative Information Agents VI
'Caches in the Air': Disseminating Tourist Information in the Guide System

WMCSA '99 Proceedings of the Second IEEE Workshop on Mobile Computer Systems and Applications
GPS and 3DOF tracking for georeferenced registration of construction graphics in outdoor augmented reality

EG-ICE'06 Proceedings of the 13th international conference on Intelligent Computing in Engineering and Architecture

Editorial: Special issue on RFID and sustainable value chains

Advanced Engineering Informatics
Performance-based evaluation of RFID-based indoor location sensing solutions for the built environment

Advanced Engineering Informatics
Integration of infrastructure based positioning systems and inertial navigation for ubiquitous context-aware engineering applications

Advanced Engineering Informatics

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper presents research that investigated algorithms for high-precision identification of contextual information in location-aware engineering applications. The primary contribution of the presented work is the design and implementation of a dynamic user-viewpoint tracking scheme in which mobile users' spatial context is defined not only by their position (i.e., location), but also by their three-dimensional head orientation (i.e., line of sight). This allows the identification of objects and artifacts visible in a mobile user's field of view with much higher accuracy than was possible by tracking position alone. For outdoor applications, a georeferencing based algorithm has been developed using the Global Positioning System (GPS) and magnetic orientation tracking devices [5] to track a user's dynamic viewpoint. For indoor applications, this study explored the applicability of wireless technologies, in particular Indoor GPS, for dynamic user position tracking in situations where GPS is unavailable. The objectives of this paper are to describe the details of the three-stage-algorithm that has been designed and implemented, and to demonstrate the extent to which positioning technologies such as GPS and Indoor GPS can be used together with high-precision orientation trackers to accurately interpret the fully-qualified spatial context of a mobile user in challenging environments such as those found on construction sites. The obtained results highlight the potential of using location-aware technologies for rapidly identifying and retrieving contextual information in engineering applications.