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A collaborative location method of connected vehicles based on Kalman filter framework | IEEE Conference Publication | IEEE Xplore

A collaborative location method of connected vehicles based on Kalman filter framework


Abstract:

Vehicle Ad Hoc Networks (VANETs) refers to an open mobile Ad hoc network composed of communication between vehicles, between vehicles and fixed access points, and between...Show More

Abstract:

Vehicle Ad Hoc Networks (VANETs) refers to an open mobile Ad hoc network composed of communication between vehicles, between vehicles and fixed access points, and between vehicles and pedestrians in a traffic environment. The key factor for its safe operation is real-time accurate location information. The information is often provided by the global navigation satellite system, but some defects of the system limit its applications in the urban area, such as low accuracy or failure under signal occlusion. This study proposes a positioning algorithm based on vehicle-to-everything (V2X) communication. It combines the information obtained from the connected vehicle-to-infrastructure(V2I) or vehicle-to-vehicle (V2V) node and the one that is provided by the on-board inertial navigation system and sensing system to estimate the positions of the target vehicle. The simulation results show that this algorithm performs well in some simulated urban driving scenarios. Its accuracy and stability can meet the strict requirements of most positioning applications.
Date of Conference: 11-17 July 2021
Date Added to IEEE Xplore: 01 November 2021
ISBN Information:
Conference Location: Nagoya, Japan

Funding Agency:


I. Introduction

The implementation of many intelligent transportation system (ITS) technologies requires accurate and reliable vehicle location information. For example, the navigation and map location technologies help drivers plan their travel paths. The vehicle collision warning system can calculate the distance of the vehicle to an obstacle and alert the driver if necessary. The global navigation satellite system (GNSS) is often used to obtain the location of a vehicle due to its convenience, maturity, and low cost, but it has many limitations. On the one hand, it is vulnerable to the interference of external environmental factors. For example, when vehicles travel in the street canyon, the accuracy and reliability of GNSS positioning could decline due to satellite visibility that is interrupted, vehicle dynamics, receiver noise and multipath. The error level is generally about 10 meters, which cannot meet the strict requirements of some safety-related positioning applications [1].

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References

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