General Decentralized Data Fusion With Covariance Intersection (CI)
By Simon Justin Julier, Jeffrey K. Uhlmann. 2001
495 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Networks and Communications
View Paper: https://www.semanticscholar.org/paper/482c92f4467abfd8a9e35809f689e2bb9ecb84ea
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Giorgio Battistelli
- Luigi Chisci
- Guillaume Bresson
- Li Yu
- Sebastien Glaser
- Zayed Alsayed
- Alfonso Farina
- Antonio Graziano
In Computer Networks and Communications
- Giorgio Battistelli
- Luigi Chisci
- Guillaume Bresson
- Li Yu
- Sebastien Glaser
- Zayed Alsayed
- Alfonso Farina
- Antonio Graziano
Citations in the corpus
- Multi-sensor management for information fusion: issues and approaches (2002, background): “It is not possible, within most filtering frameworks, to combine information pieces from multiple sources unless they are independent or have known cross-covariance [36].”
- Simultaneous Localization and Mapping: A Survey of Current Trends in Autonomous Driving (2017, methodology): “in [231], is applied to a multi-vehicle context.”
- Consensus-Based Linear and Nonlinear Filtering (2015, background): “It is worth to point out that the CI algorithm of Table II reduces to the well known covariance intersection [19] for a single (L = 1) consensus step.”
- Covariance consistency methods for fault-tolerant distributed data fusion (2003, background): “Specifically, the CI equations can be generalized to accommodate estimates maintained in split covariance form [12].”