Multi-sensor optimal information fusion Kalman filter

By Shu-Li Sun, Z. Deng. at - Automatisierungstechnik, 2004

833 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Networks and Communications, Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/4d17c39e14a5491adb58a339a541f17bad1aa266

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

1. Isaac Skog
2. Sameer Singh
3. Duncan Smith
4. Peter Handel
5. Juan Domingo Velásquez
6. Jorge A. Balazs
7. Ludmila I. Kuncheva

In Computer Networks and Communications

1. Sameer Singh
2. Duncan Smith
3. Juan Domingo Velásquez
4. Jorge A. Balazs
5. Ludmila I. Kuncheva

Citations in the corpus

• In-Car Positioning and Navigation Technologies—A Survey (2009, background): “issue of robustness against spurious information from any of the information sources and how to perform fault detection and fault isolation [103], [104].”
• Approaches to Multisensor Data Fusion in Target Tracking: A Survey (2006, background): “The optimal KF-based approach is the one in which the KF maintains cross covariance information between updates [171], [172], [173], [174], [175].”