Road Recognition using Coarse-grained Vehicular Traces

  title={Road Recognition using Coarse-grained Vehicular Traces},
  author={Xuemei Liu and Yanmin Zhu and Yin Wang and George Forman and Lionel M. Ni and Yu Fang and Minglu Li},
With more and more vehicles equipped with GPS tracking devices, there is increasing interest in building and updating maps using vehicular GPS traces. Most existing approaches for building maps rely on position traces from highly accurate positioning devices, which are sampled at a high frequency, e.g., every second. Typically these traces are recorded by survey vehicles. Commodity GPS devices are much more widespread, but have lower accuracy. In addition, the sampling frequency is low (at… CONTINUE READING
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Publications referenced by this paper.
Showing 1-10 of 24 references

Integration of GPS traces with road map

Computational Transportation Science • 2010
View 5 Excerpts
Highly Influenced

From GPS traces to a routable road map

GIS • 2009
View 7 Excerpts
Highly Influenced

OpenStreetMap: User-Generated Street Maps

IEEE Pervasive Computing • 2008
View 3 Excerpts
Highly Influenced

Mining GPS Traces for Map Refinement

Data Mining and Knowledge Discovery • 2004
View 8 Excerpts
Highly Influenced

Compressive Sensing Approach to Urban Traffic Sensing

2011 31st International Conference on Distributed Computing Systems • 2011
View 2 Excerpts

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