A Sheaf Theoretical Approach to Uncertainty Quantification of Heterogeneous Geolocation Information

A Sheaf Theoretical Approach to Uncertainty Quantification of Heterogeneous Geolocation Information

Integration of multiple, heterogeneous sensors is a challenging problem across a range of applications. Prominent among these are multi-target tracking, where one must combine observations from different sensor types in a meaningful and efficient way to track multiple targets. Because different sens...

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Bibliographic Details
Main Authors: Cliff A. Joslyn, Lauren Charles, Chris DePerno, Nicholas Gould, Kathleen Nowak, Brenda Praggastis, Emilie Purvine, Michael Robinson, Jennifer Strules, Paul Whitney
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Sensors
Subjects:
topological sheaves
information integration
consistency radius
wildlife management
stochastic linear model
Kalman filter
Online Access:https://www.mdpi.com/1424-8220/20/12/3418

Internet

https://www.mdpi.com/1424-8220/20/12/3418

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