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A GPU Stream Computing Approach to Terrain Database Integrity Monitoring

McKeon, Sean Patrick
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Abstract

Synthetic Vision Systems (SVS) provide an aircraft pilot with a virtual 3-D image of surrounding terrain which is generated from a digital elevation model stored in an onboard database. SVS improves the pilot's situational awareness at night and in inclement weather, thus reducing the chance of accidents such as controlled flight into terrain. A terrain database integrity monitor is needed to verify the accuracy of the displayed image due to potential database and navigational system errors. Previous research has used existing aircraft sensors to compare the real terrain position with the predicted position. We propose an improvement to one of these models by leveraging the stream computing capabilities of commercial graphics hardware. "Brook for GPUs," a system for implementing stream computing applications on programmable graphics processors, is used to execute a streaming ray-casting algorithm that correctly simulates the beam characteristics of a radar altimeter during all phases of flight.

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Date
2009-07-10
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Keywords
Brook for GPUs, terrain database, synthetic vision, graphics processing unit, stream computing, integrity monitor, ray casting, digital elevation model
Citation
McKeon, Sean Patrick (2009). "A GPU Stream Computing Approach to Terrain Database Integrity Monitoring." Thesis, Georgia State University. https://doi.org/10.57709/1059410
Embargo Lift Date
2012-01-25
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