Kalman filtering for relative spacecraft attitude and position estimation
By Son-Goo Kim. 2005
334 citations recorded by the source corpus.
Subfields: Aerospace Engineering, Artificial Intelligence, Oceanography
View Paper: https://www.semanticscholar.org/paper/3bddbb6cc31735d2e8f31e5cdc20dc2a4d0bf9b2
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Aerospace Engineering
- John L. Crassidis
- Yang Cheng
- Markley
- Jean-Jacques E. Slotine
- F. Landis
- Soon-Jo Chung
- Umair Ahsun
- Angelo Maria Sabatini
In Artificial Intelligence
- John L. Crassidis
- Yang Cheng
- Markley
- F. Landis
- Soon-Jo Chung
- Angelo Maria Sabatini
- G. Sukhatme
- Jong-Hwan Kim
In Oceanography
- John L. Crassidis
- Yang Cheng
- Markley
- Angelo Maria Sabatini
- Jong-Hwan Kim
- Yee-Jin Cheon
- G. Sukhatme
- Jonathan Kelly
Citations in the corpus
- Survey of nonlinear attitude estimation methods (2007, background): “Note that the matrices and commute, which has some useful consequences [98].”
- Application of Synchronization to Formation Flying Spacecraft: Lagrangian Approach (2008, background): “If we assume that a relative attitude metrology system, similar to [42,43], is available in addition to each spacecraft’s own attitude measurement with respect to the inertial frame, the relative attitude errors (e.”