DocumentCode
2791679
Title
Notice of Retraction
INS/GPS integrated navigation technique for intelligent vehicles
Author
Zeng-yong Shi ; Tao Xu ; Xiao-hong Kong ; Wei Zhang
Author_Institution
Dept. of Mech. & Electron. Eng., Henan Inst. of Sci. & Technol., Xinxiang, China
fYear
2011
fDate
15-17 July 2011
Firstpage
355
Lastpage
358
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
The problem of autonomous driving and aided navigating has received increasing attention in recent years. INS/GPS integrated navigation for intelligent vehicles is developed. This system is made of GPS and INS,it is the core algorithm to make information fusion using Kalman filter. With INS aided,the navigation system has the fault-tolerant ability. Simulaton results show that the system can satisfy the needs of vehicles position and navigation.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
The problem of autonomous driving and aided navigating has received increasing attention in recent years. INS/GPS integrated navigation for intelligent vehicles is developed. This system is made of GPS and INS,it is the core algorithm to make information fusion using Kalman filter. With INS aided,the navigation system has the fault-tolerant ability. Simulaton results show that the system can satisfy the needs of vehicles position and navigation.
Keywords
Global Positioning System; Kalman filters; road vehicles; sensor fusion; Global Positioning System; INS-GPS integrated navigation technique; Inertial Navigation System; Kalman filter; aided navigating; autonomous driving; fault-tolerant ability; information fusion; intelligent vehicles; Equations; Global Positioning System; Intelligent vehicles; Mathematical model; Vehicles; GPS; INS; intelligent vehicle;
fLanguage
English
Publisher
ieee
Conference_Titel
Mechanic Automation and Control Engineering (MACE), 2011 Second International Conference on
Conference_Location
Hohhot
Print_ISBN
978-1-4244-9436-1
Type
conf
DOI
10.1109/MACE.2011.5986932
Filename
5986932
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