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Issue No.01 - January/February (2011 vol.31)
pp: 96-101
Francesca De Crescenzio , University of Bologna
Massimiliano Fantini , University of Bologna
Franco Persiani , University of Bologna
Luigi Di Stefano , University of Bologna
Pietro Azzari , Snap-On Equipment
Samuele Salti , University of Bologna
ABSTRACT
Over the past decade, researchers have investigated AR as a promising candidate technology for building advanced interfaces for maintenance personnel. Nevertheless, the low usability of cumbersome hardware, the need to use markers, and the complexity of creating digital content seem to hinder AR's effective implementation in industry. This prototype system aims to demonstrate that you can implement AR to support aircraft maintenance personnel. To meet a daily inspection procedure's operational requirements, the system employs markerless pose estimation.
INDEX TERMS
augmented reality, aircraft maintenance, computer graphics, human-computer interaction, graphics and multimedia
CITATION
Francesca De Crescenzio, Massimiliano Fantini, Franco Persiani, Luigi Di Stefano, Pietro Azzari, Samuele Salti, "Augmented Reality for Aircraft Maintenance Training and Operations Support", IEEE Computer Graphics and Applications, vol.31, no. 1, pp. 96-101, January/February 2011, doi:10.1109/MCG.2011.4
REFERENCES
1. "Statistical Summary of Commercial Jet Airplane Accidents: Worldwide Operations, 1959–2009," slide presentation, Boeing, 2010; www.boeing.com/newstechissues.
2. T. Haritos and N.D. Macchiarella, "A Mobile Application of Augmented Reality for Aerospace Maintenance," Proc. 24th Digital Avionics Systems Conf. (DASC 05), vol. 1, IEEE Press, pp. 5.B.3-1–5.B.3-9; http://doi.ieeecomputersociety.org/10.1109 DASC.2005.1563376.
3. H. Regenbrecht, G. Baratoff, and W. Wilke, "Augmented Reality Projects in the Automotive and Aerospace Industry," IEEE Computer Graphics and Applications, vol. 25, no. 6, 2005, pp. 48–56; http://doi.ieeecomputersociety.org/10.1109 MCG.2005.124.
4. G. Schweighofer and A. Pinz, "Robust Pose Estimation from a Planar Target," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 28, no. 12, 2006, pp. 2024–2030.
5. D.G. Lowe, "Distinctive Image Features from Scale-Invariant Keypoints," Int'l J. Computer Vision, vol. 60, no. 2, 2004, pp. 91–110.
6. H. Bay et al., "SURF: Speeded Up Robust Features," Computer Vision and Image Understanding, vol. 110, no. 3, 2008, pp. 346–359.
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