Crossref Citations
This article has been cited by the following publications. This list is generated based on data provided by
Crossref.
Hide, C.
Moore, T.
and
Smith, M.
2004.
Adaptive Kalman filtering algorithms for integrating GPS and low cost INS.
p.
227.
Syed, Z.
Niu, X.
Goodall, C.
and
El-Sheimy, N.
2006.
Optimal Signal Sampling Configuration for MEMS INS/GPS Navigation.
p.
1.
Kacemi, Jamila
Reboul, Serge
and
Benjelloun, Mohammed
2006.
Information Fusion in a Hybrid Tightly Coupled GPS/Dead-Reckoning Positioning System.
p.
450.
Kim, Kwang Hoon
Lee, Jang Gyu
Park, Chan Gook
and
Jee, Gyu In
2007.
The Stability Analysis of the Adaptive Fading Extended Kalman Filter.
p.
982.
Zhou, Jun
and
Bolandhemmat, Hamidreza
2007.
Integrated INS/GPS System for an Autonomous Mobile Vehicle.
p.
694.
Jwo, Dah-Jing
and
Cho, Ta-Shun
2007.
A practical note on evaluating Kalman filter performance optimality and degradation.
Applied Mathematics and Computation,
Vol. 193,
Issue. 2,
p.
482.
Geng, Yanrui
and
Wang, Jinling
2008.
Adaptive estimation of multiple fading factors in Kalman filter for navigation applications.
GPS Solutions,
Vol. 12,
Issue. 4,
p.
273.
Jwo, Dah-Jing
and
Weng, Tsu-Pin
2008.
An Adaptive Sensor Fusion Method with Applications in Integrated Navigation.
IFAC Proceedings Volumes,
Vol. 41,
Issue. 2,
p.
9002.
Jwo, Dah-Jing
and
Weng, Tsu-Pin
2008.
An Adaptive Sensor Fusion Method with Applications in Integrated Navigation.
Journal of Navigation,
Vol. 61,
Issue. 4,
p.
705.
Syed, Z.F.
Aggarwal, P.
Xiaoji Niu
and
El-Sheimy, N.
2008.
Civilian Vehicle Navigation: Required Alignment of the Inertial Sensors for Acceptable Navigation Accuracies.
IEEE Transactions on Vehicular Technology,
Vol. 57,
Issue. 6,
p.
3402.
Liu, Hongchao
Xu, Hao
Scott Norville, H.
and
Bao, Yuanlu
2008.
A Virtual Differential Map-Matching Algorithm with Improved Accuracy and Computational Efficiency.
Journal of Navigation,
Vol. 61,
Issue. 3,
p.
421.
Syed, Z.
Aggarwal, P.
Yang, Y.
and
El-Sheimy, N.
2008.
Improved Vehicle Navigation Using Aiding with Tightly Coupled Integration.
p.
3077.
Aggarwal, P.
Syed, Z.
and
El-Sheimy, N.
2008.
Thermal Calibration of Low Cost MEMS Sensors for Land Vehicle Navigation System.
p.
2859.
Jwo, Dah-Jing
and
Chang, Shun-Chieh
2008.
Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues.
Vol. 5226,
Issue. ,
p.
227.
Ojha, Unnati
Chow, Mo-Yuen
Chang, Timothy
and
Daniel, Janice
2009.
Analysis on the kalman filter performance in GPS/INS integration at different noise levels, sampling periods and curvatures.
p.
2975.
Kim, Kwang-Hoon
Jee, Gyu-In
Park, Chan-Gook
and
Lee, Jang-Gyu
2009.
The stability analysis of the adaptive fading extended Kalman filter using the innovation covariance.
International Journal of Control, Automation and Systems,
Vol. 7,
Issue. 1,
p.
49.
Jwo, Dah‐Jing
and
Chang, Shun‐Chieh
2009.
Particle swarm optimization for GPS navigation Kalman filter adaptation.
Aircraft Engineering and Aerospace Technology,
Vol. 81,
Issue. 4,
p.
343.
Jwo, Dah-Jing
and
Lai, Shih-Yao
2009.
Navigation Integration Using the Fuzzy Strong Tracking Unscented Kalman Filter.
Journal of Navigation,
Vol. 62,
Issue. 2,
p.
303.
Menegaldo, L.L.
Ferreira, G.
Santos, M.F.
and
Guerato, R.S.
2009.
Development and Navigation of a Mobile Robot for Floating Production Storage and Offloading Ship Hull Inspection.
IEEE Transactions on Industrial Electronics,
Vol. 56,
Issue. 9,
p.
3717.
Chang, Tsai-Hsin
Wang, Li-Sheng
and
Chang, Fan-Ren
2009.
Adaptive constraint-filtering method and its application to GPS positioning.
p.
5604.