Joint shape and motion estimation from echo-based sensor data
Date
2018
Authors
Pine, Samuel J., author
Cheney, Margaret, advisor
Bates, Daniel, committee member
Fosdick, Bailey, committee member
Peterson, Christopher, committee member
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Abstract
Given a set of time-series data collected from echo-based ranging sensors, we study the problem of jointly estimating the shape and motion of the target under observation when the sensor positions are also unknown. Using an approach first described by Stuff et al., we model the target as a point configuration in Euclidean space and estimate geometric invariants of the configuration. The geometric invariants allow us to estimate the target shape, from which we can estimate the motion of the target relative to the sensor position. This work will unify the various geometric- invariant based shape and motion estimation literature under a common framework, and extend that framework to include results for passive, bistatic sensor systems.
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Subject
radar
signal processing
shape from motion
invariant