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Sensor fusion for parameter estimation of an aircraft in the approach phase
Johnson, Noah Chandrasekaran, Balaji K.
Johnson, Noah
Chandrasekaran, Balaji K.
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2022-04-15
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Johnson, Noah; Chandrasekaran, Balaji K.. 2022.
Sensor fusion for parameter estimation of an aircraft in the approach phase -- In Proceedings: 21st Annual Undergraduate Research and Creative Activity Forum. Wichita, KS: Wichita State University, p. 15
Abstract
Landing and takeoff are the two most critical and dangerous phases of flight.
In recent years the aircraft industry has seen a stark increase in automated systems taking
over both of these phases of flight, but more emphasis has been on landing. Many
commercial aircraft are capable of performing fully autonomous landings and rollouts
without pilot intervention. These systems however are heavily dependent on expensive
ground based systems which makes it unfeasible for smaller, lesser used airports to
acquire and operate. Other approaches such as Localizer Performance with Vertical
guidance (LPV) approaches separate the aircraft from the ground based systems using
GPS coordinates to guide the aircraft. This however is not perfect as LPV approaches
only have a decision height of 200ft which introduces a place for human error to occur. A
furthering of this technology would allow for cheaper airport construction and operation
as well as further improving the capabilities of commercial and more directly general
aviation aircraft as general aviation is where LPV approaches are primarily used.
Presented here are the first steps of a broader investigation into the usage of advanced
computer vision techniques as well as the introduction of GPS and RADALT data
through data fusion algorithms to estimate landing parameters. This is done in an effort to
improve the existing LPV approach by reducing the decision height to 0 ft.
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Presented to the 21st Undergraduate Research and Creative Activity Forum (URCAF) held at the Rhatigan Student Center, Wichita State University, April 15, 2022.
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Wichita State University
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URCAF
v.21
v.21