A Compensated System Design for GPS Failure Using Sensor Fusion System
This paper presents a sensor fusion system that can assist the vehicle to solve the localization problem since the global positioning system (GPS) signal is lost. Generally, the GPS signal is lost when the vehicle is maneuvered under shelters, for example, in a tunnel, hillside, deep valley, indoor parking garage, etc. In such situation, the inertial measurement sensors are applied to estimate the position of vehicle, the accelerometer and gyroscope are used to calculate the longitudinal and lateral state of the vehicle, respectively. Moreover, the position estimation of the vehicle on a ramp is also considered in this paper. However, the estimation errors are accumulated so that the bias errors of the sensor fusion system are thus increased. In order to increase the estimation accuracy of vehicle position, the kinematic filter method is utilized to integrate the information from sensor fusion system to correct the present and to predict the posterior location precisely. The experimental results demonstrate that our sensor fusion system can localize the vehicle since the GPS signal is lost.
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Supplemental Notes:
- Abstract reprinted with permission from Intelligent Transportation Society of America.
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Corporate Authors:
1100 17th Street, NW, 12th Floor
Washington, DC United States 20036 -
Authors:
- Chen, Shun Hung
- Hsu, Chan Wei
- Huang, Shih Chieh
- Chen, Chun Hsiung
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Conference:
- 19th ITS World Congress
- Location: Vienna , Austria
- Date: 2012-10-22 to 2012-10-26
- Publication Date: 2012
Language
- English
Media Info
- Media Type: Digital/other
- Features: CD-ROM; Figures; Maps; References;
- Pagination: 12p
- Monograph Title: 19th ITS World Congress, Vienna, Austria, 22 to 26 October 2012
Subject/Index Terms
- TRT Terms: Automatic vehicle location; Failure analysis; Global Positioning System; Kalman filtering; Kinematics; Sensors
- Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; I73: Traffic Control;
Filing Info
- Accession Number: 01499121
- Record Type: Publication
- Files: TRIS
- Created Date: Nov 21 2013 9:14AM