DocumentCode
2351184
Title
GPS/INS enhancement using neural networks for autonomous ground vehicle applications
Author
Kaygisiz, Burak H. ; Erkmen, Aydan M. ; Erkmen, Ismet
Author_Institution
Defence Ind. Res. & Dev. Inst., Sci. & Tech. Res. Council of Turkey, Ankara, Turkey
Volume
4
fYear
2003
fDate
27-31 Oct. 2003
Firstpage
3763
Abstract
We propose in this paper a method to enhance the performance of a coupled global positioning/inertial navigation system (GPS/INS) for both air and land navigation applications during the GPS signal loss. Our method is based on using an artificial neural network (ANN) to intelligently aid the GPS/INS coupled navigation system in the absence of GPS signals. The proposed enhanced GPS/INS is used in the very dynamic environment of a tour of an autonomous van on the METU campus and we provide the results here. Our GPS/INS+ANN system performance is thus demonstrated with the land trials.
Keywords
Global Positioning System; feedforward neural nets; inertial navigation; mobile robots; multilayer perceptrons; remotely operated vehicles; GPS signal loss; GPS/INS enhancement; air navigation; artificial neural network; autonomous ground vehicle; autonomous van; global positioning system; inertial navigation system; land navigation; Artificial intelligence; Artificial neural networks; Global Positioning System; Inertial navigation; Intelligent networks; Land vehicles; Neural networks; Performance loss; System performance; Vehicle dynamics;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Robots and Systems, 2003. (IROS 2003). Proceedings. 2003 IEEE/RSJ International Conference on
Print_ISBN
0-7803-7860-1
Type
conf
DOI
10.1109/IROS.2003.1249740
Filename
1249740
Link To Document