Unmanned Aircraft Systems (UAS) Integration in the National Airspace System (NAS) Project Integrated Test and Evaluation Flight Testing Overview
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This presentation is a high level overview for the UAS community of current operations.
This Phase 2 Project Plan includes the overview and detailed information regarding the areas of Command and Control, Detect and Integrated Test and Evaluation.
NASA is developing an Air Traffic Management (ATM) Ontology as part of an advanced prototyping activity that demonstrates the utility of semantic technologies for integrating, querying, and searching over various sources of heterogeneous ATM data. The ontology encodes an overarching data model that functions as the backbone upon which to overlay data from multiple sources published by FAA, NOAA, NASA, and others. The integrated data can be queried to produce results not achievable using any single source alone. The ontology incorporates flight data, weather data, traffic management advisory data, airport delay data, and national airspace infrastructure data for a very limited spatial and temporal slice of airspace operations (one day of operations at a major airport).
The goal of the Full Mission Sim was to examine the effects of different command and control interfaces on UAS pilots' ability to respond to ATC commands and traffic advisories. Results suggest that higher levels of automation (i.e., waypoint-to-waypoint control interfaces) lead to longer initial response times and longer edit times. The findings demonstrate the importance of providing pilots with interfaces that facilitate their ability to get back 'in the loop.'
This is a HSI (Horizontal Situation Indicator) display evaluation overview presented to the RTCA (Radio Technical Commission for Aeronautics) SC-228 Detect and Avoid Working group. The goal of the presentation is to provide data on the effect of various Detect and Avoid (DAA) display and guidance features with respect to pilot performance of the self-separation function in order to determine the minimum information requirements for DAA displays.
This is a redacted version of the 2018 annual report presented to NASA shareholders for general release.
NASA is sponsoring research and data collection with the FAA UAS Test Sites pertaining to sensor and integration of Ground Based Detect and Avoid (GBDAA). This talk will highlight the objectives of the working being conducted and data collection plans.
This study investigates the effects that different parameters of a given well clear metric has on the rate of well clear violations (WCV) in Class E airspace. The proposed metrics are taken from variations on methods used by TCAS IIand also considers different alerting schemes against the well clear metric. This presentation is divided into three analysis. The first analysis presented investigates the effect of well clear definitions on the rate of WCV occurrence. The second analysis characterises encounters at the WCV and the third analysis evaluates the alerting threshold definition and criteria. This study should inform refinement of an appropriate definition of well clear for UAS sense and avoid systems and motivate further research on exploring alerting definitions and criteria for a given well clear definition.
The data used in ATD-2 analysis begins from a fused data stream from numerous SWIM sources, then undergoes additional processing to derive commonly used metrics. This has been a consistent focus of the analysis team and is the basis for many benefits and performance analyses that will be described in other sessions.
This is a continuation of part 1 discussion of the data used by ATD-2 analysts. This session will also provide an opportunity for the community input on any additional tech transfer needs for this capability.
Public version of the presentation given to the IASP group on the progress for annual year 2019.
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Explore the source record for details and available documents.