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Volumn 1, Issue , 2004, Pages 88-93

Situation-based multi-target detection and tracking with laserscanner in outdoor semi-structured environment

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); COLLISION AVOIDANCE; COMPUTER VISION; IMAGE SEGMENTATION; KALMAN FILTERING; LASER APPLICATIONS; OBJECT RECOGNITION; SCANNING;

EID: 14044270852     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (46)

References (15)
  • 1
    • 14044265449 scopus 로고    scopus 로고
    • CyberCars Project
    • "www.cybercars.org," CyberCars Project
  • 2
    • 14044249300 scopus 로고    scopus 로고
    • BMW AG, Munich, Germany, Document de travail pour séminaire
    • BMW, "Acc - active cruise control," BMW AG, Munich, Germany, Document de travail pour séminaire, 2000.
    • (2000) Acc - Active Cruise Control
  • 4
    • 14044250608 scopus 로고    scopus 로고
    • CyberMove Project
    • "www.cybermove.org," CyberMove Project.
  • 10
    • 4544368999 scopus 로고    scopus 로고
    • Object tracking and classification for multiple active safety and comfort applications using a multilayer laserscanner
    • June
    • K. C. Fuerstenberg and K. Dietmayer, "Object tracking and classification for multiple active safety and comfort applications using a multilayer laserscanner," IEEE Intelligent Vehicles Symposium, Parma, Italy, June 2004.
    • (2004) IEEE Intelligent Vehicles Symposium, Parma, Italy
    • Fuerstenberg, K.C.1    Dietmayer, K.2
  • 15
    • 0005184620 scopus 로고    scopus 로고
    • Using the kalman filter to track human interactive motion - Modelling and initialization of the kalman filter for translational motion
    • Informatik VII
    • M. Kohler, "Using the kalman filter to track human interactive motion - modelling and initialization of the kalman filter for translational motion," Informatik VII, University of Dortmund, TR 629, 1997.
    • (1997) University of Dortmund, TR , vol.629
    • Kohler, M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.