Spacecraft Relative Navigation Using Appearance Matching and Sensor Fusion

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IONITM-2017-McBryde.pdf (275.18 KB)
Author(s)
McBryde, Christopher R.
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Daniel Guggenheim School of Aerospace Engineering
The Daniel Guggenheim School of Aeronautics was established in 1931, with a name change in 1962 to the School of Aerospace Engineering
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https://hdl.handle.net/1853/74129
Abstract
In this research, the task of object recognition and relative navigation is accomplished by fusing visible spectrum and infrared images. The appearance matching technique is briefly explained and it is shown how it can be extended to infrared images. A series of tests are performed to demonstrate the object recognition and pose estimation capabilities of the system in the visible and infrared spectra. It is also shown how the fusion of both types of images can provide greater accuracy and robustness in relative navigation than either visual or infrared images alone. Additionally, a simulation environment software tool has been developed to facilitate the creation of training images and to perform software-in-the-loop verification.
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2017-02
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Paper
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