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Volumn 36, Issue 4, 2006, Pages 625-629

Map-matching algorithm based on road network topological information and priori-knowledge

Author keywords

Digital map; Global positioning system; Map matching; Probability density function; Road network

Indexed keywords

DEAD RECKONING; DIGITAL MAP; MAP MATCHING; ROAD NETWORK;

EID: 33749848205     PISSN: 10010505     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (2)

References (8)
  • 1
    • 33749871812 scopus 로고    scopus 로고
    • Chinese source
  • 2
    • 33749843623 scopus 로고    scopus 로고
    • The relationship among vehicle positioning performance, map quality, and sensitivities and feasibilities of map-matching algorithms
    • Columbus, Ohio, USA
    • Zhang X G, Wang Q, Wan D J. The relationship among vehicle positioning performance, map quality, and sensitivities and feasibilities of map-matching algorithms[C]//IEEE IV 2003. Columbus, Ohio, USA, 2003.
    • (2003) IEEE IV 2003
    • Zhang, X.G.1    Wang, Q.2    Wan, D.J.3
  • 4
    • 0002944492 scopus 로고    scopus 로고
    • Improved positioning of motor vehicle through secondary information sources
    • Sydney, Australia: University of Technology
    • Scott C A. Improved positioning of motor vehicle through secondary information sources[D]. Sydney, Australia: University of Technology, 1996.
    • (1996)
    • Scott, C.A.1
  • 7
    • 12344284724 scopus 로고    scopus 로고
    • Virtual differential GPS and road reduction filtering by map matching
    • Nashville. USA
    • Taylor G. Virtual differential GPS and road reduction filtering by map matching[C]//ION GPS'99. Nashville. USA, 1999: 1675-1684.
    • (1999) ION GPS'99 , pp. 1675-1684
    • Taylor, G.1
  • 8
    • 0003555229 scopus 로고    scopus 로고
    • Recursive Bayesian estimation: Navigation and tracking application
    • Sweden: Linköping University
    • Bergman N. Recursive Bayesian estimation: navigation and tracking application[D]. Sweden: Linköping University, 1999.
    • (1999)
    • Bergman, N.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.