Abstract

Vehicles have to rely on satellite navigation in an open environment. However, satellite navigation cannot obtain accurate positioning information for vehicles in the interior of underground parking lots, as they comprise a semi-enclosed navigation space. Therefore, vehicular navigation needs to take into consideration both outdoor and indoor environments. Actually, outdoor navigation and indoor navigation require different positioning methods, and it is of great importance to choose a reasonable navigation and positioning algorithm solution for vehicles. Fortunately, the integrated navigation of the Global Positioning System (GPS) and the Micro-Electro-Mechanical System (MEMS) inertial navigation system could solve the problem of switching navigation algorithms in the entrance and exit of underground parking lots. This paper proposes a low cost vehicular seamless navigation technology based on the reduced inertial sensor system (RISS)/GPS between the outdoors and an underground garage. Specifically, the enhanced RISS is a positioning algorithm based on three inertial sensors and one odometer, which could achieve a similar location effect as the full model integrated navigation, reduce the costs greatly, and improve the efficiency of each sensor.

Highlights

  • The development large cities leads to a sharp increase in the number of private cars, which has made the phenomenon of parking difficulties increasingly prominent

  • The enhanced reduced inertial sensor system (RISS)/Global Positioning System (GPS) combination algorithm is processed in the micro-controller unit (MCU)

  • It was essential to start the system, using the position and azimuth data obtained from the enhanced RISS/GPS integrated navigation system

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Summary

A Low Cost Civil Vehicular Seamless Navigation

Technology Based on Enhanced RISS/GPS between the Outdoors and an Underground Garage. Ningbo Li 1 , Lianwu Guan 1, * , Yanbin Gao 1, *, Zhejun Liu 1,2 , Ye Wang 1,3 and Hanxiao Rong 1,4.

Introduction
Enhanced RISS Navigation Mechanization
Garage Entrance Switching Decision
Attitude Errors’ Analysis
Velocity Errors’ Analysis
Position Errors’ Analysis
Results and Error
Conclusions
Full Text
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