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Volumn 16, Issue 3, 2009, Pages 1-11

Non-linear multimodal object tracking based on 2D lidar data

Author keywords

Data association; Fusion; Lidar; Tracking

Indexed keywords


EID: 71449096108     PISSN: 08608229     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (4)

References (12)
  • 2
    • 71449113776 scopus 로고    scopus 로고
    • An iterative parameter estimation method for observation models with nonlinear constraints
    • T. Dang: "An iterative parameter estimation method for observation models with nonlinear constraints". Metrol Meas Syst, vol. 15, no. 4, 2008, pp. 421-432.
    • (2008) Metrol Meas Syst , vol.15 , Issue.4 , pp. 421-432
    • Dang, T.1
  • 5
    • 47849109751 scopus 로고    scopus 로고
    • A feature level fusion approach for object classification
    • June
    • S. Wender K. Dietmayer: "A feature level fusion approach for object classification". IEEE Intelligent Vehicles Symposium, June 2007, pp. 1132-1137.
    • (2007) IEEE Intelligent Vehicles Symposium , pp. 1132-1137
    • Wender, S.1    Dietmayer, K.2
  • 7
    • 70449591998 scopus 로고    scopus 로고
    • Non-linear, shape independent object tracking based on 2D lidar data"
    • June
    • M. Thuy, F. Puente León: "Non-linear, shape independent object tracking based on 2D lidar data". IEEE Intelligent Vehicles Symposium, June 2009, pp. 532-537.
    • (2009) IEEE Intelligent Vehicles Symposium , pp. 532-537
    • Thuy, M.1    Puente León, F.2
  • 9
    • 0034832304 scopus 로고    scopus 로고
    • Tracking multiple objects using the condensation algorithm
    • E.B. Koller-Meier, F. Ade: "Tracking multiple objects using the condensation algorithm". Robotics and Autonomous Systems, vol. 31, 2001, pp. 93-105.
    • (2001) Robotics and Autonomous Systems , vol.31 , pp. 93-105
    • Koller-Meier, E.B.1    Ade, F.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.