Non-intrusive flight test instrumentation using video recognition: Reducing the cost and time to market for certified flight simulation devices

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Proceedings titleAIAA Modeling and Simulation Technologies Conference
ConferenceAIAA Modeling and Simulation Technologies Conference, 2016, 4 January 2016 through 8 January 2016
AbstractThe National Research Council of Canada has conducted feasibility studies into the development of non-intrusive flight test instrumentation methods with the goal of reducing the cost and time-to-market for certified aerospace products. Video recognition for the collection of flight test time history data was one such non-intrusive method. The advantages of using machine vision for flight data collection are many. One video camera can be used to extract data for many in-flight parameters, reducing instrumentation time, the airworthiness effort, the overall aircraft schedule and associated costs. This paper details the development of flight test video recognition software, calibration algorithms, hardware, and the accuracy of data collected by video via full flight simulator data benchmarks. Video recognition is a convenient means of collecting cockpit flight test data for model development and certification of full flight simulator devices.
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PublisherAmerican Institute of Aeronautics and Astronautics
AffiliationNational Research Council Canada; Aerospace
Peer reviewedYes
NPARC number21277469
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Record identifier05a9ca32-2c10-4f7b-8e8b-5c49195e7d11
Record created2016-03-09
Record modified2016-05-09
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