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
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;
Conference_Titel :
Intelligent Robots and Systems, 2003. (IROS 2003). Proceedings. 2003 IEEE/RSJ International Conference on
Print_ISBN :
0-7803-7860-1
DOI :
10.1109/IROS.2003.1249740