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Volumn , Issue , 2010, Pages 13-19

Target vehicle selection based on multi features fusion method

Author keywords

Kalman filter; Neural network; Target selection; Vehicle detection

Indexed keywords

BP NEURAL NETWORKS; DISTANCE COMPENSATION; FEATURE VARIABLE; IMPORTANCE WEIGHTS; IN-VEHICLE; KALMAN-FILTERING; LONGITUDINAL DISTANCE; MISSING RATE; MULTI-VEHICLES; MULTIFEATURES FUSION; RELATIVE DISTANCES; SAMPLE DATA; SELECTION BASED; SELECTION METHODS; TARGET RECOGNITION; TARGET SELECTION; TARGET VEHICLES; TWO LAYERS; VEHICLE DETECTION;

EID: 77956507317     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IVS.2010.5548094     Document Type: Conference Paper
Times cited : (2)

References (8)
  • 2
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  • 5
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    • (in Chinese)
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  • 7
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    • (in Chinese)
    • PI Yanni, SHI Zhongke, HUANG Jin, Preceding car detection and tracking based on the monocular vision, Computer Applications, Vol. 25, No. 1, 2005, pp. 220-223. (in Chinese)
    • (2005) Computer Applications , vol.25 , Issue.1 , pp. 220-223
    • Pi, Y.1    Shi, Z.2    Huang, J.3
  • 8
    • 0033170309 scopus 로고    scopus 로고
    • Vehicle dynamics estimation using Kalman filters
    • DOI 10.1076/vesd.32.2.171.2088
    • Venhovens P J T, Naab K, Vehicle dynamics estimation using Kalman filters, Vehicle System Dynamics, Vol. 32, No. 2, 1999, pp. 171-184. (Pubitemid 32081555)
    • (1999) Vehicle System Dynamics , vol.32 , Issue.2 , pp. 171-184
    • Venhovens, P.J.T.1    Naab, K.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.