Synthetic Vision Enhances Situation Awareness and RNP Capabilities for Terrain-Challenged Approaches
Author(s) -
Lynda J. Kramer,
Lawrence J. Prinzel,
Randall E. Bailey,
Jarvis J. Arthur
Publication year - 2003
Publication title -
aiaa's 3rd annual aviation technology, integration, and operations (atio) forum
Language(s) - English
Resource type - Conference proceedings
DOI - 10.2514/6.2003-6814
Subject(s) - terrain , computer science , computer vision , human–computer interaction , artificial intelligence , geography , cartography
The Synthetic Vision Systems (SVS) Project of Aviation Safety Program is striving to eliminate poor visibility as a causal factor in aircraft accidents as well as enhance operational capabilities of all aircraft through the display of computer generated imagery derived from an onboard database of terrain, obstacle, and airport information. To achieve these objectives, NASA 757 flight test research was conducted at the Eagle-Vail, Colorado airport to evaluate three SVS display types (Head-Up Display, Head-Down Size A, Head -Down Size X) and two terrain texture methods (photo-realistic, generic) in comparison to the simulated Baseline Boeing-757 Electronic Attitude Direction Indicator and Navigation / Terrain Awareness and Warning System displays. These independent variables were evaluated for situation awareness, path error, and workload while making approaches to Runway 25 and 07 and during simulated engine-out Cottonwood 2 and KREMM departures. The results of the experiment showed significantly improved situation awareness, performance, and workload for SVS concepts compared to the Baseline displays and confirmed the retrofit capability of the Head-Up Display and Size A SVS concepts. The research also demonstrated that the pathway and pursuit guidance used within the SVS concepts achieved required navigation performance (RNP) criteria.
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