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- W320982093 abstract "Synthetic Vision Systems have been proposed that integrate traditional information provided by Primary Flight Displays with depictions of terrain and other geo-spatial features. As validation is impractical, the geo-spatial models used by an SVS typically have no inherent integrity. This has been a primary constraint to approved use as other than “advisory-only” in civil aviation. This dissertation describes a general approach to using forward-looking remote sensing technology as part of an in-flight monitor that provides a bounded level of integrity for geo-spatial feature data. After reviewing a taxonomy of sensor technologies and applications relevant to the premise, a specific proof-of-concept implementation using X-band radar is discussed. Terrain shadowing features, as seen by the radar, are compared in a statistical manner against estimated shadow features extracted from a stored terrain model as viewed from the perspective of the airborne observer. A test statistic is defined that enables detection of errors as small as the range resolution of the radar. Experimental results obtained from multiple aircraft platforms hosting certified commercial-off-the-shelf X-band radars test the premise." @default.
- W320982093 created "2016-06-24" @default.
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- W320982093 date "2005-01-01" @default.
- W320982093 modified "2023-09-28" @default.
- W320982093 title "On the development of in-flight autonomous integrity monitoring of stored geo-spatial data using forward-looking remote sensing technology" @default.
- W320982093 hasPublicationYear "2005" @default.
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