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Sensors 2016, 16(2), 193; doi:10.3390/s16020193

Definition of an Enhanced Map-Matching Algorithm for Urban Environments with Poor GNSS Signal Quality

University Institute for Automobile Research (INSIA), Ctra. Valencia, Km. 7, Madrid 28031, Spain
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Author to whom correspondence should be addressed.
Academic Editor: Assefa M. Melesse
Received: 23 December 2015 / Revised: 27 January 2016 / Accepted: 29 January 2016 / Published: 4 February 2016
(This article belongs to the Section Remote Sensors)
View Full-Text   |   Download PDF [2972 KB, uploaded 4 February 2016]   |  

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. View Full-Text
Keywords: satellite positioning systems; Global Navigation Satellite System (GNSS); navigation; information fusion; map matching. satellite positioning systems; Global Navigation Satellite System (GNSS); navigation; information fusion; map matching.
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Jiménez, F.; Monzón, S.; Naranjo, J.E. Definition of an Enhanced Map-Matching Algorithm for Urban Environments with Poor GNSS Signal Quality. Sensors 2016, 16, 193.

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