Abstract
Field inspectors, such as bridge inspectors, oftentimes have to perform their tasks in harsh environments and need to have their hands free. Thus, they cannot carry reference materials. The inability to access material during the inspection effort influences the efficiency with which field data is collected and its quality.
Field inspectors, such as bridge inspectors, oftentimes have to perform their tasks in harsh environments and need to have their hands free. Thus, they cannot carry reference materials. The inability to access material during the inspection effort influences the efficiency with which field data is collected and its quality.
A prototype wearable computer for supporting bridge inspectors has been developed, which provides users unlimited access to data and knowledge in the field. The application has been designed to recognize the field context and provide intelligent support for field data collection and decision making.
This describes the requirements of, and the prototype for, a wearable computer to support bridge inspectors while in the field. As this wearable computer for bridge inspectors is still a work in progress and very much an early prototype, opportunities for using AI to provide intelligent assistance and support to bridge inspectors is discussed.
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References
National Bridge Inspection Standards. Section 23, CFR, Part 650.3, Wash., D.C., 1971.
Hartle, R. A., W. J. Amrhein, K. E. Wilson, D. R. Baughman, and J. J. Tkacs. Bridge Inspector's Training Manual 90,” Report No. FHWA-PD-91-015, FHWA, 1991.
Maser, K. Condition Assessment of Transportation Infrastructure Using Ground Penetrating Radar. Journal of Infrastructure Systems, Vol. 2, No. 2, 1996.
Czepiel, E. Bridge Management Systems Literature Review and Search. Northwestern University BIRL Industrial Research Laboratory, Technical Report No. 11, March 1995.
Better Roads, November 1996.
Wilson, J. L., S.J. Wagaman, J.W. Fisher, F.A. Harvey, G. Sadavage and T.J. Jaworski. The Hypermedia Bridge Fatigue Investigator. Proc. 1 lth Annual Intl. Bridge Conference, Pittsburgh, PA, June 1994, Paper IBC-94-12
Turner, D. S. and J. A. Richardson. Bridge Management System Data Needs and Data Collection. Transportation Research, Circular No. 423, TRB, pp. 5–15, April 1994.
American Association of State Highway Transportation Officials. AASHTO CoRe Element Guide, Draft version expected to be published in 1997.
Hearn, G., D. M. Frangopol, T. Szanyi, and S. Marshall. Data and Data Interpretation in Bridge Management Systems,” Proceedings of Structures Congress, Vol. 1, American Society of Civil Engineers, 1996, pp. 245–252.
Leung, A. Perfecting Bridge Inspecting. Civil Engineering Magazine, 1996, pp. 59–61.
Kuo, S. S., D. A. Clark, and R. Kerr. Complete Package for Computer-Automation Bridge Inspection Process. Transp. Research Record, No. 1442, 1994, pp. 115–127.
Smailagic,A. and D. P. Siewiorek. The Design and Implementation of the VuMan Wearable Computer. EDRC Technical Report, Carnegie Mellon, 1992.
Siewiorek, D.P., A. Smailagic, J.Lee, and A.Tabatabai. An Interdisciplinary Concurrent Design Methodology as Applied to The Navigator Wearable Computer System. Journal of Computer and Software Engineering, Vol. 2, No. 2, 1994.
Smailagic, A., Siewiorek, D.P. The CMU Mobile Computers: A New Generation of Computer Systems. Proceedings IEEE COMPCON 94 International Conference, 1994.
Smailagic, A., D.P. Siewiorek, D. Anderson, C. Kasabach, J.Stivoric.Benchmarking an Interdisciplinary Concurrent Design Methodology for Electronic/Mechanical Systems. Proc. ACM/IEEE Design Automation Conference, pp. 514–519, June 1995.
Starner,T. and S. Mann. Augmented Reality through Wearable Computing. Presence, Vsence, Vol.6, NoA, 1997.
Mann,S. Smart Clothing: Wearable Multimedia Computing and Personal Imaging. Proc. of ACM Multimedia, pp. 163–174,1996.
Paradiso, J. and N. Gershenfeld. Musical Applications of Electric Field Sensing. Computer Music Journal, Vol.21, No.2, 1997.
Smailagic, A., and D. P. Siewiorek. Modalities of Interaction with CMU Wearable Computers. IEEE Personnal Communications, Vol.3, No. l, February 1996.
Smailagic, A., and D. P. Siewiorek. The CMU Mobile Computers and their Applications. Mobile Computing (Eds. H. Korth and T. Imielinski), Kluwer Academic Pub., 1996.
Smailagic, A., and D. P. Siewiorek. A Case Study in Embedded-System Design: The VuMan 2 Wearable Computer. IEEE Design and Test of Computers, Vol. 10, No. 3, 1993.
Yang, D., J. L. Webster, L. A. Rendell, D. S. Shaw and J. H. Garrett, Jr., “ Symbol recognition in a CAD environment using a neural network.” International Journal of Artificial Intelligence Tools (Architectures, Languages, Algorithms), Vol. 3, No. 2, pp. 157–185, June 1994.
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Garrett, J.H., Smailagic, A. (1998). Wearable computers for field inspectors: Delivering data and knowledge-based support in the field. In: Smith, I. (eds) Artificial Intelligence in Structural Engineering. Lecture Notes in Computer Science, vol 1454. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0030449
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DOI: https://doi.org/10.1007/BFb0030449
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