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An adaptive interacting multiple model for vehicle target tracking method
Du JS(杜劲松); Bi X(毕欣)
Conference Name2013 3rd International Conference on Advanced Measurement and Test, AMT 2013
Conference DateMarch 13-14, 2013
Conference PlaceXiamen, China
Source PublicationAdvanced Materials Research
PublisherTrans Tech Publications Ltd
Publication PlaceZurich-Durnten, Switzerland
Indexed ByEI
EI Accession number20133516683144
Contribution Rank1
KeywordAlgorithms Markov Processes
AbstractIn the field of traffic safety vehicle target tracking prediction as the background, this paper proposes an adaptive interacting multiple model tracking algorithm. According to the field of transportation vehicle movement state characteristics, based on the uniform(CV)and uniformly accelerated motion(CA)model, based on new information structure model of motion of the likelihood function, online adaptive adjustment model of the noise variance and the Markov matrix, realization of maneuvering target movement model and model set adaptation, not only improved IMM algorithm for tracking accuracy, and enhances the real-time performance of system, the simulation results show that, the algorithm for tracking precision compared to the traditional IMM method has bigger improvement. © (2013) Trans Tech Publications, Switzerland.
Document Type会议论文
Recommended Citation
GB/T 7714
Du JS,Bi X. An adaptive interacting multiple model for vehicle target tracking method[C]. Zurich-Durnten, Switzerland:Trans Tech Publications Ltd,2013:1286-1289.
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