GPS/IMU data fusion using multisensor Kalman filtering: Introduction of contextual aspects

Information Fusion

Volumn 7, Issue 2, 2006, Pages 221-230

  Caron, Francois ^a   Duflos, Emmanuel ^a   Pomorski, Denis ^b   Vanheeghe, Philippe ^a  

^a ECOLE CENTRALE DE LILLE   (France)

^b UNIV LILLE   (France)

Author keywords

Data fusion; Global positioning system; Inertial measurement unit; Kalman filter; Multisensor system

Indexed keywords

ALGORITHMS; DATA PROCESSING; GLOBAL POSITIONING SYSTEM; KALMAN FILTERING; RELIABILITY;

FUSION ALGORITHM; INERTIAL MEASUREMENT UNIT; MULTISENSOR SYSTEM;

SENSOR DATA FUSION;

EID: 33644976580     PISSN: 15662535     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.inffus.2004.07.002     Document Type: Article

References (16)

1. S. Sukkarieh, Low cost, high integrity, aided inertial navigation systems for autonomous land vehicles, PhD Thesis, Australian Center for Fields Robotics, University of Sydney, 2000.
2. S. Sukkarieh, E.M. Nebot, and H.F. Durrant-Whyte A high integrity IMU GPS navigation loop for autonomous land vehicles applications IEEE Trans. Robot. Autom. 15 3 1999 572 578
3. J. Stephen, Development of a multisensor GNSS based vehicle navigation system, PhD Thesis, Dpt of Geomatics Engineering, University of Calgary, 2000.
4. J. Stephen, and G. Lachapelle Development and testing of a GPS-augmented multi-sensor vehicle navigation system J. Navigation 54 2 2001 297 319
5. E.H. Shin, Accuracy improvement of low cost INS/GPS for land applications, PhD Thesis, Dpt of Geomatics Engineering, University of Calgary, 2001.
6. D. McNeil Mayhew, Multi-rate sensor fusion for GPS navigation using Kalman filtering, PhD Thesis, Dpt of Electrical Engineering, Virginia Polytechnic Institute and State University, 1999.
7. V. Nimier Introduction d'informations contextuelles dans des algorithmes de fusion multicapteur Revue du Traitement du Signal 14 5 1997 110 119
8. B.D.O. Anderson, and J.B. Moore Optimal Filtering 1979 Prentice-Hall
9. S. Blackman, and R. Popoli Design and Analysis of Modern Tracking Systems 1999 Artech House
10. E. Duflos, and P. Vanheeghe Estimation, prédiction 2000 Technip Paris, France
11. M.S. Grewal, L.R. Weill, and A.P. Andrews Global Positioning Systems, Inertial Navigation, and Integration 2001 John Wiley & Sons
12. Y. Bar-Shalom, X. Rong Li, and T. Kirubajan Estimation with Applications to Tracking and Navigation 2001 Wiley-Interscience
13. B. Grocholsky, Information-theoretic control of multiple sensor platforms, PhD Thesis, Australian Center for fields Robotics, 2002.
14. M.E. Cannon, R. Nayak, G. Lachapelle, O.S. Salychev, and V.V. Voronov Low-cost INS/GPS integration: Concepts and testings J. Navigation 54 1 2001 119 134
15. H.F. Durrant-Whyte, M. Stevens, Data fusion in decentralized networks, in: 4th International Conference on Information Fusion, Montreal, Canada, 2001.
16. A.M. Mood, F.A. Graybill, Introduction to the Theory of Statistics, McGraw-Hill Series in Probability and Statistics, 1963.