Conference proceeding
Assessment and enhancement of Synthetic Vision Systems experimentation software
2006 IEEE SYSTEMS AND INFORMATION ENGINEERING DESIGN SYMPOSIUM, pp 61-66
01 Jan 2006
Abstract
Synthetic Vision Systems (SVS) are cockpit technologies which depict computer generated perspective displays of terrain surrounding an aircraft in order to prevent incidents of controlled flight into terrain. This paper evaluates a toolset designed to support experiments that assess the! ability of different SVS displays to convey spatial awareness by having participants make spatial and temporal judgments after viewing videos of SVS displays in flight. The paper discusses the limitations of this toolset and identifies SVS experiments that the toolset could support. These experiments are used. to derive requirements for toolset improvements. The paper then describes the toolset's current implementation status and establishes a trajectory for future development.
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Details
- Title
- Assessment and enhancement of Synthetic Vision Systems experimentation software
- Creators
- Matthew L. Bolton - University of VirginiaThomas J. Hagan - University of VirginiaDeniz Kustu - University of VirginiaLancen A. LaChance - University of VirginiaSteven S. Li - University of VirginiaEllen J. Bass - University of VirginiaIEEE
- Publication Details
- 2006 IEEE SYSTEMS AND INFORMATION ENGINEERING DESIGN SYMPOSIUM, pp 61-66
- Conference
- 2006 IEEE SYSTEMS AND INFORMATION ENGINEERING DESIGN SYMPOSIUM
- Publisher
- IEEE
- Number of pages
- 3
- Grant note
- UVA-03-01; 4817-UV / NIA Rising Star Fellowship for Matthew Bolton
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Information Science
- Web of Science ID
- WOS:000245140100011
- Scopus ID
- 2-s2.0-41949124269
- Other Identifier
- 991019292131904721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Computer Science, Artificial Intelligence
- Computer Science, Interdisciplinary Applications
- Engineering, Electrical & Electronic
- Transportation Science & Technology