High-integrity databases for helicopter operations

Christian Pschierer; Jens Schiefele; Juerg Lüthy

doi:10.1117/12.818666

6 May 2009 High-integrity databases for helicopter operations

Christian Pschierer, Jens Schiefele, Juerg Lüthy

Proceedings Volume 7328, Enhanced and Synthetic Vision 2009; 73280D (2009) https://doi.org/10.1117/12.818666
Event: SPIE Defense, Security, and Sensing, 2009, Orlando, Florida, United States

Abstract

Helicopter Emergency Medical Service missions (HEMS) impose a high workload on pilots due to short preparation time, operations in low level flight, and landings in unknown areas. The research project PILAS, a cooperation between Eurocopter, Diehl Avionics, DLR, EADS, Euro Telematik, ESG, Jeppesen, the Universities of Darmstadt and Munich, and funded by the German government, approached this problem by researching a pilot assistance system which supports the pilots during all phases of flight. The databases required for the specified helicopter missions include different types of topological and cultural data for graphical display on the SVS system, AMDB data for operations at airports and helipads, and navigation data for IFR segments. The most critical databases for the PILAS system however are highly accurate terrain and obstacle data. While RTCA DO-276 specifies high accuracies and integrities only for the areas around airports, HEMS helicopters typically operate outside of these controlled areas and thus require highly reliable terrain and obstacle data for their designated response areas. This data has been generated by a LIDAR scan of the specified test region. Obstacles have been extracted into a vector format. This paper includes a short overview of the complete PILAS system and then focus on the generation of the required high quality databases.

Citation Download Citation

Christian Pschierer, Jens Schiefele, and Juerg Lüthy "High-integrity databases for helicopter operations", Proc. SPIE 7328, Enhanced and Synthetic Vision 2009, 73280D (6 May 2009); https://doi.org/10.1117/12.818666

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