Abstract

The last decade has witnessed a growing demand for precise positioning in many applications including car navigation. Navigating automated land vehicles requires at least sub-meter level positioning accuracy with the lowest possible cost. The Global Navigation Satellite System (GNSS) Single-Frequency Precise Point Positioning (SF-PPP) is capable of achieving sub-meter level accuracy in benign GNSS conditions using low-cost GNSS receivers. However, SF-PPP alone cannot be employed for land vehicles due to frequent signal degradation and blockage. In this paper, real-time SF-PPP is integrated with a low-cost consumer-grade Inertial Navigation System (INS) to provide a continuous and precise navigation solution. The PPP accuracy and the applied estimation algorithm contributed to reducing the effects of INS errors. The system was evaluated through two road tests which included open-sky, suburban, momentary outages, and complete GNSS outage conditions. The results showed that the developed PPP/INS system maintained horizontal sub-meter Root Mean Square (RMS) accuracy in open-sky and suburban environments. Moreover, the PPP/INS system could provide a continuous real-time positioning solution within the lane the vehicle is moving in. This lane-level accuracy was preserved even when passing under bridges and overpasses on the road. The developed PPP/INS system is expected to benefit low-cost precise land vehicle navigation applications including level 2 of vehicle automation which comprises services such as lane departure warning and lane-keeping assistance.

Highlights

  • The automotive industry is investing lavishly in the research and development of automated vehicles

  • The implemented integration of Single-Frequency Precise Point Positioning (SF-Precise Point Positioning (PPP)) and Inertial Navigation System (INS) is performed in the Loosely-Coupled (LC) mode using an Extended Kalman Filter (EKF)

  • The developed system aims at providing a precise real-time low-cost navigation solution for land vehicles with sub-meter accuracy

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Summary

Introduction

The automotive industry is investing lavishly in the research and development of automated vehicles. Various technologies are developed every day to support and advance the vehicle automation process. The Society of Automotive Engineers (SAE) international standard J3016 defines five levels of vehicle automation: 0 (no automation); 1 (driver assistance); 2 (partial automation); 4 (high automation); and 5 (full automation) [1]. The driver assistance features of level 2 such as lane-departure warning and lane-keeping assist require a navigation system with accuracy in the sub-meter level. The implementation of such a navigation system with low-cost requirements is not a trivial task

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