Localization methods for a mobile robot in urban environments
IEEE Transactions on Robotics
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
On the use of 2D navigable maps for enhancing ground vehicle localization
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
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Global Navigation Satellite Systems (GNSS) are often used to localise a receiver with respect to a given map. This association problem, also known as map-matching, is usually addressed using estimated positions computed by the GNSS receiver. In this paper we propose a method that combines the cartographic data in the GNSS computation fix itself. We focus on the use of a road network provided by cartographers such as NavTeQ or TeleAtlas. Geo-referenced data is modelled by segments that can be used as constraints or fused with the pseudo-ranges. Using residuals, a new method for tackling the underlying problem of the road selection is proposed. We show that this approach is also well adapted to the integrity problem of map-matching, since a consistency test is derived. Experimental results illustrate the performance of this method with different maps.