The Application of Integrated GPS and Dead Reckoning Positioning in Automotive Intelligent Navigation System

Qingquan Li, Zhixiang Fang, Hanwu Li

Wuhan University Luoyu Road 129, Wuhan,Hubei, P.R.China.
Wuhan University, Luoyu Road 129, Wuhan,Hubei, P.R.China.

DOI:                 

Abstract

The applications of Global Positioning System (GPS) are increasingly widespread in China. GPS positioning is more and more popular. Especially, the automotive navigation system which relies on GPS and Dead Reckoning technology is developing quickly because of the anticipated huge future market in China. In this paper a practical combined positioning model of GPS/DR is put forward. This model designed for automotive navigation system makes use of a Kalman filter to improve position and map matching veracity by means of filtering the raw GPS and DR signals. In practical examples, the validity of the model is illustrated. Several experiments and their results of integrated GPS/DR positioning in automotive navigation system will show that a Kalman Filter based on integrated GPS/DR position is necessary, feasible and efficient for automotive navigation application. Certainly, this combined positioning model, similar to other models, can not resolve all situation issues. In the paper, the applicable principles of the model are given and the advantages and disadvantages of this model are compared with other positioning models. Finally, suggestions are given for further improving integrated GPS/DR system performance, and the application aspects of integrated GPS/DR technology in the automotive navigation system are summarized.

Keywords

GPS; Dead Reckoning; Kalman Filter; Automotive Navigation System

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1]	Leonhardi, A., Nicu, C., Rothermel, K., (2001).A Map-basedDead-reckoning Protocol for Updating Location Information. Technical Report.2001/09. Institute of Parallel and Distributed High-Performance Systems (IPVR),Department of Computer Science,University of Stuttgart, Breitwiesenstr. 20–22, D-70565, Stuttgart, Germany
[2]	Fang, J., Shen, G., Wan, D., (1998). Establishment of an Adaptive Extended Kalman Filter Model for a GPS/DR Integrated Navigation System.Control Theory and Applications, Vol.15, No.3, Jun.. 385-390.
[3]	Fang, J., Shen, G., Wan, D., (1999). Study of GPS/DR Integrated Navigation System for Urban Vehicle. China Journal of Highway and Transport.Vol.12, No.1, Jan..84-89.
[4]	Fang, J., Shen, G., Wan, D., (1999). An Adaptive Federated KalmanFilter Model for GPS/DR/Map Matching Integrated Navigation System in LandVehicle. Control and Decision. Vol.14, No.5, Sept.. 448-452.
[5]	Fang, J., Wan, D., ( 1996). Research of Integrated Navigation Systems withGPS for Vehicle Navigation. Journal of Southeast University. Vol.26, No.3, May. 96-102.
[6]	Wu, Q., Wan, D., Wang, Q., (1999). A New Kind of Filter Algorithms ofIntegrated Navigation System for Vehicle. Journal of Chinese inertial technology.Vol.7, No.2, Jun.,.22-24.
[7]	Wu, Q., Wan, D., Xu, X., (1997). Design of GPS/DR Integrated Navigation System for Vehicle and Filter Algorithms. Journal of Southeast, Vol.27, No.2, Mar.. 55-59.
[8]	Wu, Q., Wan, D., (1998) An Integrated GPS/Velocity Gyro/Odometer Vehicle Navigation. Industrial Instrumentation & Automation. No.3,.pp.10-12.
[9]	Wang, Y., (1997). Simulation of Positioning Accuracy with GPS/DR/GIS IntegratedNavigation System for Vehicle. Journal of WuYi University (natural science). Vol.11, No.4. 42-48.
[10]	Xiong, S., Jin, T., (1997). An Implementation of Dead-Reckoning for a Vehicle GPSNavigation System. Journal of Nanchang University. Vol.21, No.1,Mar. 52-57.
[11]	Zheng, P., (1999). Study of GPS/DR Integrated Navigation System for Vehicle.Journal of Beijing University of Aeronautics and Astronautics, Vol.25, No.5, Oct. 513-516.
[12]	Liu, J., Yuan, X., (1995). GPS/INS Integrated Navigation Developing System.Journal of Chinese Inertial Technology. Vol.3, No.1. 1-6.
[13]	Chen, Y., (1997). Parallel Implementation of Kalman Filter for Integrated INS/GPS Navigation System. Control Theory and Applications. Vol.14, No.2, Apr. 219-223.
[14]	Borenstein, J., (1994) Internal Correction of Dead-reckoning Errors with the SmartEncoder Trailer. International Conference on Intelligent Robots and Systems (lROS'94) Advanced Robotic Systems and the Real World. Munich, Germany, September12-16, 1994, 127-134.
[15]	Borenstein, J., Everet, H.R., Feng, L., Wehe, D., Mobile Robot Positioning & Sensors and Techniques. Invited Paper for the Journal of Robotic Systems, Special Issue on Mobile Robots. Vol.14, No.4. 231 – 249.
[16]	Borenstein, J., Feng, L., (1996) Gyrodometry: A New Method for Combining Data from Gyros and Odometry in Mobile
[17]	Robots. Proceedings of the 1996 IEEE International Conference on Robotics and Automation, Minneapolis, Apr. 22-28, 423-428.