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Map matching

Map matching is the problem of how to match recorded geographic coordinates to a logical model of the real world, typically using some form of… 
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2017
Review
2017
Map matching is a technique combining electronic map with locating information to obtain the real position of vehicles in a road… 
2013
2013
The proliferation of location-based services and applications calls for provisioning of location service as a first class system… 
2012
2012
Simultaneous Localization and Mapping, or SLAM, is required for mobile robots to be able to explore prior unknown space without a… 
2010
2010
This paper presents a numerical approach to the mapmatching problem. The proposed solution is based on a sequential Monte Carlo… 
Highly Cited
2009
Highly Cited
2009
This paper introduces a novel method for vehicle pose estimation and motion tracking using visual features. The method combines… 
2007
2007
The traditional map-matching algorithms mainly use two methods: the incremental method and the global method. Both of them have… 
2007
2007
Automatic road centerline extraction from high-resolution satellite imagery has gained considerable interest recently due to the… 
2004
2004
Based on analyzing the pure geometry and possibility statistics map matching algorithms, a hybrid map matching algorithm based on… 
Highly Cited
1999
Highly Cited
1999
This paper describes a mobile robot equipped with a sonar sensor array in a guided, feature-based map-building task in an indoor… 
1986
1986
Where am I? Where is my destination? How do I get there? These are questions commonly asked by all drivers. The Etak Navigator is…