Vehicle Positioning System Based on GPS and Autonomic Sensors

• Autorzy: Konatowski S. , Dąbrowski M. , Pieniężny A.
• Języki publikacji: EN

Abstrakty

EN

In many real situations like in tunnels, forests and in urban canyons GPS position calculation became impossible or not accurate enough. The solution of the problem is to integrate Global Positioning System with Inertial Navigation System. In such a solution it is possible to determine object position with temporary disappearance of GPS signals and improve precision. The paper presents an idea of data integration from two navigation sensors (subsystems). The aim of such an approach is to improve estimation precision of vehicle position and ensure autonomy of the system. System consists of two positioning subsystems: Dead Reckoning (DR) and Global Positioning System. Sensors fusion is realize by 32-bit microprocessor with ARM architecture and interfaces circuits. DR/GPS algorithm was implemented in 32-bit microprocessor with ARM SAM7S core.

Słowa kluczowe

EN

GPS; integration; inertial navigation

• Wydawca: Polskie Forum Nawigacyjne
• Czasopismo: Annual of Navigation
• Rocznik: 2010
• Tom: No. 16
• Strony: 67--74
• Opis fizyczny: Bibliogr. 6 poz., rys., tab.

Twórcy

autor

Konatowski S.

autor

Dąbrowski M.

autor

Pieniężny A.

• Military University of Technology

Bibliografia

• [1] Dąbrowski M., The car navigation system, XXVIIIth Conference on Electronic and Telecommunication for Students and Young Research Worker SECON 2008, Warsaw 2008.
• [2] Gordon N. J., Ristic B., Arulampalam S., Beyond the Kalman Filter — Particle Filters for Tracking Applications, Artech House, London 2004.
• [3] Grewal M. S., Andrews A. P., Kalman filtering Theory and Practice Using MATLAB, John Wiley & Sons, Canada, 2001.
• [4] Kaniewski P., Konatowski S., Positioning with AHRS/Odometer/GPS System, Annual of Navigation, 2001, No 3, pp. 75–89.
• [5] Konatowski S., Integrated Positioning System for Land Vehicles, Kwartalnik Elektroniki I Telekomunikacji, 2003, 49, z. 4, Warszawa, pp. 467–480.
• [6] Stranneby D., The Digital Signal Processing: DSP and Applications (in polish), BTC, Warszawa 2004.