Technical Brief

Developing Large High-Resolution Display Visualizations of High-Fidelity Terrain Data

[+] Author and Article Information
Haeyong Chung

e-mail: chungh@vt.edu

Chris North

e-mail: north@cs.vt.edu
Department of Computer Science,
Virginia Tech,
Blacksburg, VA 24060

John Ferris

Department of Mechanical Engineering,
Virginia Tech,
Blacksburg, VA 24060
e-mail: jbferris@vt.edu

Contributed by the Computers and Information Division of ASME for publication in the Journal of Computing and Information Science in Engineering. Manuscript received June 30, 2011; final manuscript received March 26, 2013; published online July 22, 2013. Editor: Bahram Ravani.

J. Comput. Inf. Sci. Eng 13(3), 034502 (Jul 22, 2013) (7 pages) Paper No: JCISE-11-1371; doi: 10.1115/1.4024656 History: Received June 30, 2011; Revised March 26, 2013

The vehicle terrain measurement system (VTMS) allows highly detailed terrain modeling and vehicle simulations. Visualization of large-scale terrain datasets taken from VTMS provides better insights into the characteristics of the pavement or road surface. However, the resolution of these terrain datasets greatly exceeds the capability of traditional graphics displays and computer systems. Large high-resolution displays (LHRDs) enable visualization of large-scale VTMS datasets with high resolution, large physical size, scalable rendering performance, advanced interaction methods, and collaboration. This paper investigates beneficial factors, implementation issues, and case study applications of LHRDs for visualizing large, high-fidelity, terrain datasets from VTMS. Two prototype visualizations are designed and evaluated with automotive and pavement engineers to demonstrate effectiveness of LHRDs for multiscale tasks that involve understanding pavement surface details within the overall context of the terrain.

Copyright © 2013 by ASME
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Kern, J. V., and Ferris, J. B., 2007, “Development of a 3D Vehicle-Terrain Measurement System Part I: Equipment Setup,” Proceedings of the Joint North America, Asia-Pacific ISTVS Conference, Fairbanks, AK.
Li, Q., Yao, M., Yao, X., and Xu, B., 2010, “A Real-Time 3D Scanning System for Pavement Distortion Inspection,” Meas. Sci. Technol., 21(1), p. 015702. [CrossRef]
Easa, S. M., Strauss, T. R., Hassan, Y., and Souleyrette, R. R., 2002, “Three-Dimensional Transportation Analysis: Planning and Design,” J. Transp. Eng., 128, pp. 250–258. [CrossRef]
Liang, H., Arangarasan, R., and Theller, L., 2007, “Dynamic Visualization of High Resolution GIS Dataset on Multi-Panel Display Using ArcGIS Engine,” Comput. Electron. Agric., 58(2), pp. 174–188. [CrossRef]
Ni, T., Schmidt, G. S., Staadt, O. G., Livingston, M. A., Ball, R., and May, R., 2006, “A Survey of Large High-Resolution Display Technologies, Techniques, and Applications,” Proceedings of IEEE Virtual Reality Conference, pp. 223–236.
Czerwinski, M., Smith, G., Regan, T., Meyers, B., Robertson, G., and Starkweather, G., 2003, “Toward Characterizing the Productivity Benefits of Very Large Displays,” Proceedings of Interact, Vol. 3, pp. 9–16.
Ball, R., North, C., and Bowman, D. A., 2007, “Move to Improve: Promoting Physical Navigation to Increase User Performance With Large Displays,” Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, San Jose, CA, pp. 191–200.
Ball, R., and North, C., 2007, “Visual Analytics: Realizing Embodied Interaction for Visual Analytics Through Large Displays,” Comput. Graph., 13, pp. 380–400. [CrossRef]
Smith, H., 2009, “Improving the Quality of Terrain Measurement,” M.S. thesis, Mechanical Engineering, Virginia Tech, Blacksburg, VA.
Herr, W. J., 1996, “Highway Profile Measuring System,” U.S. Patent No. 5,510,889.
Ferris, J. B., 1999, “Factors Affecting Perceptions of Ride Quality in Automobiles,” Proceedings of ASME Dynamic Systems and Control Division (DSC), 67, pp. 649–654.
Ferris, J. B., and Larsen, J. L., 2002, “Establishing Chassis Reliability Testing Targets Based on Road Roughness,” Int. J. Mater. Prod. Technol., 17(5), pp. 453–461. [CrossRef]
Kerchman, V., 2008, “Tire-Suspension-Chassis Dynamics in Rolling Over Obstacles for Ride and Harshness Analysis,” Tire Sci. Technol., 36, pp. 158–191. [CrossRef]
Pieper, G., Leigh, J., Renambot, L., Verlo, A., Long, L., Brown, M., Sandin, D., Vishwanath, V., Kooima, R., Girado, J., Jeong, B., DeFanti, T., Liu, Q., Katz, M., Papadopoulos, P., Keefe, J., Hidley, G., Dawe, G., Kaufman, I., Glogowski, B., and Doerr, K., 2009, “Visualizing Science: The OptIPuter Project,” SciDAC Review, 12, pp. 32–41.
Yost, B., Haciahmetoglu, Y., and North, C., 2007, “Beyond Visual Acuity: The Perceptual Scalability of Information Visualizations for Large Displays,” Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 101–110.
Schaeffer., B., 2000, “A Software System for Inexpensive VR Via Graphics Clusters,” http://isl.uiuc.edu/Publications/dgdpaper.pdf
Schroeder, W. J., Avila, L. S., and Hoffman, W., 2000, “Visualizing With VTK: A Tutorial,” IEEE Comput. Graphics Appl., 20, pp. 20–27. [CrossRef]
Ball, R., North, C., and Bowman, D. A., 2007, “Move to Improve: Promoting Physical Navigation to Increase User Performance With Large Displays,” Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 191–200.
Tan, D. S., Czerwinski, M., and Robertson, G., 2003, “Women go With the (Optical) Flow,” Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, Ft. Lauderdale, FL, pp. 209–215.
Eilemann, S., Makhinya, M., and Pajarola, R., 2008, “Equalizer: A Scalable Parallel Rendering Framework,” IEEE Trans. Vis. Comput. Graph., 15, pp. 436–452. [CrossRef]
Chen, H., Chen, Y., Finkelstein, A., Funkhouser, T., Li, K., Liu, Z., Samanta, R., and Wallace, G., 2001, “Data Distribution Strategies for High-Resolution Displays,” Comput. Graphics, 25(5), pp. 811–818. [CrossRef]
Staadt, O. G., Walker, J., Nuber, C., and Hamann, B., 2003, “A Survey and Performance Analysis of Software Platforms for Interactive Cluster-Based Multi-Screen Rendering,” Proceedings of the Eurographics Workshop on Virtual Environments 2003, pp. 261–270.
Molnar, S., Cox, M., Ellsworth, D., and Fuchs, H., 1994, “A Sorting Classification of Parallel Rendering,” IEEE Comput. Graphics Appl., 14(4), pp. 23–32. [CrossRef]
Samanta, R., Zheng, J., Funkhouser, T., Li, K., and Singh, J. P., 1999, “Load Balancing for Multi-Projector Rendering Systems,” Proceedings of the ACM SIGGRAPH/EUROGRAPHICS Workshop on Graphics Hardware, pp. 107–116.
Raffin, B., and Soares, L., 2006, “PC Clusters for Virtual Reality,” Proceedings of IEEE Virtual Reality Conference, pp. 215–222.
Moreland, K., Wylie, B., and Pavlakos, C., 2001, “Sort-Last Parallel Rendering for Viewing Extremely Large Data Sets on Tile Displays,” Proceedings of the IEEE Symposium on Parallel and Large-Data Visualization and Graphics, San Diego, CA, pp. 85–92.
Eilemann, S., 2009, “Equalizer 0.9 Programming and User Guide,” http://www.equalizergraphics.com/documentation.html
Eyescale, 2009, “White Paper: Two Methods for Driving OpenGL Display Walls,” http://www.equalizergraphics.com/documents/WhitePapers/Chromium_Equalizer.pdf
Sandstrom, T. A., Henze, C., and Levit, C., 2003, “The Hyperwall,” Proceedings of Coordinated and Multiple Views in Exploratory Visualization, pp. 124–133.
Chi, E. H., Barry, P., Riedl, J., and Konstan, J., 1997, “A Spreadsheet Approach to Information Visualization,” Proceedings of IEEE Symposium on Information Visualization, pp. 17–24.
Georgopoulosa, A., Loizosb, A., and Floudac, A., 1995, “Digital Image Processing as a Tool for Pavement Distress Evaluation,” ISPRS J. Photogramm. Remote Sens., 50, pp. 23–33. [CrossRef]
Shanin, M. Y., 1994, Pavement Management for Airport, Roads, and Parking Lots, Chapman and Hall, New York.
Tan, D. S., and Czerwinski, M., 2003, “Effects of Visual Separation and Physical Discontinuities When Distributing Information Across Multiple Displays,” Proceedings of OZCHI, pp. 184–191.
Bi, X., Bae, S.-H., and Balakrishnan, R., 2010, “Effects of Interior Bezels of Tiled-Monitor Large Displays on Visual Search, Tunnel Steering, and Target Selection,” Proceedings of the 28th International Conference on Human Factors in Computing Systems, Atlanta, GA.
Robertson, G., Czerwinski, M., Baudisch, P., Meyers, B., Robbins, D., Smith, G., and Tan, D., 2005, “The Large-Display User Experience,” IEEE Comput. Graphics Appl., 25, pp. 44–51. [CrossRef]


Grahic Jump Location
Fig. 1

Large, high-resolution display, arranged in a 5 × 10 matrix of 20.1 in. flat panel LCD monitors powered by 25 PC nodes (5 × 10 × 1600 × 1200 = 96,000,000 pixels in total)

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Fig. 3

Actual terrain and 3D terrain visualization. The left image is a photo of the actual terrain and the right image is a 3D rendering that was produced from the corresponding dataset measured with the VTMS.

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Fig. 5

Two different data distribution architectures for terrain data on LHRDs. (a) Master-slave data distribution architecture. The master redistributes application state information collected from the slaves, such as user input, timer, random number generation, system calls, etc. in order to synchronize application states. (b) Client-server data distribution architecture. The terrain data and input devices are accessed by only the client node.

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Fig. 6

Left: Sort-first rendering of VTMS data. Black lines represent display tile borders. The entire terrain model is divided by display tiles, and then display nodes (represented by different colors) render the corresponding parts of the terrain model in parallel. Right: Sort-last rendering. The terrain model is more evenly divided.

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Fig. 7

Multiscale terrain visualization prototypes. Color ramp represents elevation of terrain. For example, red is the highest point and blue is the lowest.

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Fig. 8

Multiview visualization prototype for comparing performance of different terrain uniform grid spacing methods for VTMS data. Each model can be navigated independently or in coordination

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Fig. 9

Multiview visualization of very long pavement models. Each row displays a portion of the road length, and every row is connected to recreate the entire road section.




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