Journal article
Trade-Offs in Synthetic Vision System Display Resolution, Field of Regard, Terrain Data Density, Texture, and Shading During Off-Path Operations
The International journal of aviation psychology, Vol.19(1), pp.33-48
01/21/2009
DOI: 10.1080/10508410802597390
Abstract
We conducted 2 independent fixed-base flight simulator studies to determine trade-offs in synthetic vision system (SVS) display resolution, field of regard, terrain data density, texture, and shading during off-path operations. The data we present herein are a synthesis of prior work and may be useful for consideration by SVS designers and certification entities. Pilots flew off-path tasks, following the middle of a curved valley depicted on the SVS. The SVS parameters were manipulated between runs and cross-track deviations from the desired path following the middle of the valley were recorded. Off-path terrain navigation tasks were used to isolate the effect of the different SVS terrain depictions on cross-track error without the overriding effects of other flight guidance symbology. For off-path SVS operations and based on the results presented in this article, we recommend an SVS head-down display resolution of about 105 pixels per inch (ppi; 32.7 pixels per degree of visual angle) or better at a viewing distance of 21 in., a field of regard of 60 degrees, a terrain data density of 6 arc sec or better, a two-color checkerboard or elevation-based coloring scheme (or a combination thereof), and Gouraud shading of the texture.
Details
- Title: Subtitle
- Trade-Offs in Synthetic Vision System Display Resolution, Field of Regard, Terrain Data Density, Texture, and Shading During Off-Path Operations
- Creators
- Thomas Schnell - University of IowaMike Keller - University of IowaTimothy Etherington - Advanced Technology Center
- Resource Type
- Journal article
- Publication Details
- The International journal of aviation psychology, Vol.19(1), pp.33-48
- Publisher
- Taylor & Francis Group
- DOI
- 10.1080/10508410802597390
- ISSN
- 1050-8414
- eISSN
- 1532-7108
- Language
- English
- Date published
- 01/21/2009
- Academic Unit
- Occupational and Environmental Health; Mechanical Engineering; Electrical and Computer Engineering; Industrial and Systems Engineering; Neurology; Public Policy Center (Archive)
- Record Identifier
- 9984187077902771
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