Certifiable database generation for SVS

Jens Schiefele; Dejan Damjanovic; Wolfgang Kubbat

doi:10.1117/12.389360

23 June 2000 Certifiable database generation for SVS

Jens Schiefele, Dejan Damjanovic, Wolfgang Kubbat

Proceedings Volume 4023, Enhanced and Synthetic Vision 2000; (2000) https://doi.org/10.1117/12.389360
Event: AeroSense 2000, 2000, Orlando, FL, United States

Abstract

In future aircraft cockpits SVS will be used to display 3D physical and virtual information to pilots. A review of prototype and production Synthetic Vision Displays (SVD) from Euro Telematic, UPS Advanced Technologies, Universal Avionics, VDO-Luftfahrtgeratewerk, and NASA, are discussed. As data sources terrain, obstacle, navigation, and airport data is needed, Jeppesen-Sanderson, Inc. and Darmstadt Univ. of Technology currently develop certifiable methods for acquisition, validation, and processing methods for terrain, obstacle, and airport databases. The acquired data will be integrated into a High-Quality Database (HQ-DB). This database is the master repository. It contains all information relevant for all types of aviation applications. From the HQ-DB SVS relevant data is retried, converted, decimated, and adapted into a SVS Real-Time Onboard Database (RTO-DB). The process of data acquisition, verification, and data processing will be defined in a way that allows certication within DO-200a and new RTCA/EUROCAE standards for airport and terrain data. The open formats proposed will be established and evaluated for industrial usability. Finally, a NASA-industry cooperation to develop industrial SVS products under the umbrella of the NASA Aviation Safety Program (ASP) is introduced. A key element of the SVS NASA-ASP is the Jeppesen lead task to develop methods for world-wide database generation and certification. Jeppesen will build three airport databases that will be used in flight trials with NASA aircraft.

Citation Download Citation

Jens Schiefele, Dejan Damjanovic, and Wolfgang Kubbat "Certifiable database generation for SVS", Proc. SPIE 4023, Enhanced and Synthetic Vision 2000, (23 June 2000); https://doi.org/10.1117/12.389360

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