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Volumn , Issue , 2010, Pages 17-22

Integration of GPS traces with road map

Author keywords

GPS data; Incremental refinement; Integration; Road map

Indexed keywords

DATA INTEGRATION; INTEGRATION; MAPS; ROADS AND STREETS;

EID: 85012024685     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1899441.1899447     Document Type: Conference Paper
Times cited : (87)

References (11)
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    • Davies, J.J., Beresford, A.R. & Hopper, A., 2006: Scalable, distributed, real-time map generation, IEEE Pervasive Computing, Vol. 5, No. 4, pp. 47-54, 2006.
    • (2006) IEEE Pervasive Computing , vol.5 , Issue.4 , pp. 47-54
    • Davies, J.J.1    Beresford, A.R.2    Hopper, A.3
  • 5
    • 38149113975 scopus 로고    scopus 로고
    • Citizens as voluntary sensors: Spatial data infrastructure in the world of web 2.0
    • 2007
    • Goodchild, M.F., 2007: Citizens as Voluntary Sensors: Spatial Data Infrastructure in the World of Web 2.0. International Journal of Spatial Data Infrastructures Research, 2007, Vol. 2, 24-32.
    • (2007) International Journal of Spatial Data Infrastructures Research , vol.2 , pp. 24-32
    • Goodchild, M.F.1
  • 7
    • 54849431370 scopus 로고    scopus 로고
    • OpenStreetMap: User-generated street maps
    • Haklay, M. and P. Weber, OpenStreetMap: User-Generated Street Maps. IEEE Pervasive Computing, 2008. 7(4).
    • (2008) IEEE Pervasive Computing , vol.7 , Issue.4
    • Haklay, M.1    Weber, P.2
  • 8
    • 84874231406 scopus 로고    scopus 로고
    • Involving LBS users in data acquisition and update
    • 2005
    • Sayda, F., 2005: Involving LBS users in data acquisition and update, Proceedings of the AGILE, Portugal, 2005.
    • Proceedings of the AGILE, Portugal , pp. 2005
    • Sayda, F.1
  • 10
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    • Cooperative boundary detection in a geosensor network using a SOM
    • 2009
    • Sester, M., 2009: Cooperative Boundary Detection in a Geosensor Network using a SOM, ICC Chile, 2009.
    • (2009) ICC Chile
    • Sester, M.1
  • 11
    • 85012001025 scopus 로고    scopus 로고
    • Wikipedia. fuzzy-c-means clustering. [cited 2010]; Available from:http://en.wikipedia.org/wiki/Cluster-analysis#Fuzzy-cmeans-clustering.
    • (2010) Fuzzy-c-means Clustering


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.