DocumentCode
3503962
Title
Improved Vehicle Navigation Using Aiding with Tightly Coupled Integration
Author
Syed, Z. ; Aggarwal, P. ; Yang, Y. ; El-Sheimy, N.
Author_Institution
Dept. of Geomatics Eng., Calgary Univ., Calgary, AB
fYear
2008
fDate
11-14 May 2008
Firstpage
3077
Lastpage
3081
Abstract
Vehicle navigation poses difficulties as it requires the uninterrupted availability of accurate positioning information, even in circumstances without an ideal condition. Global Positioning System (GPS) provides consistently accurate positioning solutions if four or more GPS satellites can be observed. Unfortunately, this condition is usually not satisfied if a vehicle is going through urban canyon, tunnel or forest canopy. Even with High Sensitivity and Assisted GPS receivers, reliable positioning using GPS alone in difficult urban situations is still a challenge. Inertial Navigation System (INS), consists of self- contained sensors that can continuously provide accurate short term positioning solutions. The integration of GPS and INS can overcome the GPS drawback and provide continuous navigation solutions even during GPS signal outages. Though newly developed MEMS-based INS sensors have relatively low accuracy, they are compact and inexpensive, which is very suitable for vehicle navigation. Hence, there is a growing interest in exploring the capabilities of these sensors in the field of vehicle navigation. This paper presents the integration of GPS with MEMS-based INS in a tightly coupled scheme. Tightly coupled integration can make use of GPS signals even if less than four GPS satellites are observed. Thus it offers better integration options. To further improve the GPS/INS integration results, non- holonomic constraints and heading observations were used in this study to improve the online positioning accuracies. The results showed the drift errors could be significantly reduced when non- holonomic constraints and/or heading information were used, during periods with GPS signal outage. In addition, a backward smoother called Rauch-Tung-Striebel (RTS) was also implemented for offline processing needs purpose. The integration results showed that the RTS smoother can significantly reduce the drift errors even if neither non-holonomic constraints nor heading inform- ation were used.
Keywords
Global Positioning System; inertial navigation; microsensors; vehicles; GPS satellite; MEMS-based INS sensor; RTS smoother; Rauch-Tung-Striebel; global positioning system; inertial navigation system; tightly coupled scheme; vehicle navigation; Acceleration; Automotive engineering; Geometry; Global Positioning System; Inertial navigation; Mechanical sensors; Micromechanical devices; Satellite navigation systems; Sensor systems; Vehicles;
fLanguage
English
Publisher
ieee
Conference_Titel
Vehicular Technology Conference, 2008. VTC Spring 2008. IEEE
Conference_Location
Singapore
ISSN
1550-2252
Print_ISBN
978-1-4244-1644-8
Electronic_ISBN
1550-2252
Type
conf
DOI
10.1109/VETECS.2008.335
Filename
4525891
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