title: Definition of an Enhanced Map-Matching Algorithm for Urban Environments with Poor GNSS Signal Quality.
abstract: Vehicle positioning is a key factor for numerous information and assistance applications that are included in vehicles and for which satellite positioning is mainly used. However, this positioning process can result in errors and lead to measurement uncertainties. These errors come mainly from two sources: errors and simplifications of digital maps and errors in locating the vehicle. From that inaccurate data, the task of assigning the vehicle's location to a link on the digital map at every instant is carried out by map-matching algorithms. These algorithms have been developed to fulfil that need and attempt to amend these errors to offer the user a suitable positioning. In this research; an algorithm is developed that attempts to solve the errors in positioning when the Global Navigation Satellite System (GNSS) signal reception is frequently lost. The algorithm has been tested with satisfactory results in a complex urban environment of narrow streets and tall buildings where errors and signal reception losses of the GPS receiver are frequent.
authors: University Institute for Automobile Research (INSIA), Ctra. Valencia, Km. 7, Madrid 28031, Spain. felipe.jimenez@upm.es.
authors: Felipe
authors: F
authors: Jiménez
authors: University Institute for Automobile Research (INSIA), Ctra. Valencia, Km. 7, Madrid 28031, Spain. sergio.monzon3@gmail.com.
authors: Sergio
authors: S
authors: Monzón
authors: University Institute for Automobile Research (INSIA), Ctra. Valencia, Km. 7, Madrid 28031, Spain. joseeugenio.naranjo@upm.es.
authors: Jose Eugenio
authors: JE
authors: Naranjo
keywords: Global Navigation Satellite System (GNSS); information fusion; map matching.; navigation; satellite positioning systems