Study on the GPS/MM navigation method based on the vehicle kinematic model

Chuan-jun Li; Qing Wang; Zhuangsheng Zhu; Zengshe Guan

doi:10.1117/12.775242

10 November 2007 Study on the GPS/MM navigation method based on the vehicle kinematic model

Chuan-jun Li, Qing Wang, Zhuangsheng Zhu, Zengshe Guan

Proceedings Volume 6795, Second International Conference on Space Information Technology; 67956A (2007) https://doi.org/10.1117/12.775242
Event: Second International Conference on Spatial Information Technology, 2007, Wuhan, China

Abstract

By using the vehicle kinematic model of "current" statistical model, based on the map-matching, the current speed and direct of the vehicle on the road are obtained. The vehicle's next position is calculated by the dead reckoning and the GPS data is verified. The result of the car experiment on the road shows that the precision, the real dynamic performance and the reliability of the GPS system on the car are improved, and so are the GPS multi-path effect. It also shows that the technology can realize the vehicle navigation system to locate in blind area of GPS. And the technology has its practicability in some way in the case of that the simple GPS takes up the main field of the vehicle navigation system.

Citation Download Citation

Chuan-jun Li, Qing Wang, Zhuangsheng Zhu, and Zengshe Guan "Study on the GPS/MM navigation method based on the vehicle kinematic model", Proc. SPIE 6795, Second International Conference on Space Information Technology, 67956A (10 November 2007); https://doi.org/10.1117/12.775242

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available