Map matching with kalman filter and location estimation

Abstract

Known as Global Navigation Satellite Systems, GNSS is a geolocation service. GNSS systemsused in the world are known as GPS in America, GLONASS in Russia, GALILEO in Europe,BEIDOU in China and IRNSS in India. However, GPS is the only one that works decisivelytoday. GNSS systems are used effectively in the navigation of all types of land, sea and airvehicles such as search and rescue, target finding, and landing and take-off of airplanes withor without limited visibility. However, when environmental and weather conditions areunfavorable, the accuracy of the GPS systems in the GNSS may vary. This study is presentedas a solution to the map matching problem by minimizing the error deviation rates of GPS datafrom NOVATEL and UBLOX based vehicle tracking devices with the help of Kalman FilterAlgorithm. In addition, the deviation rate between the GPS data from the vehicle trackingsystem and the estimated point coordinates is provided in meters.