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Title: New multiple target tracking strategy using domain knowledge and optimisation
Authors: Ding, Runxiao
Yu, Miao
Oh, Hyondong
Chen, Wen-Hua
Keywords: Multiple target tracking
Domain knowledge
Force-based model
Moving horizon estimation (MHE)
Multiple hypothesis tracking (MHT)
Issue Date: 2016
Publisher: IEEE © the authors
Citation: DING, R. ...et al., 2016. New multiple target tracking strategy using domain knowledge and optimisation. IEEE Transactions on Systems, Man and Cybernetics: Systems, 47 (4), pp.605-616
Abstract: This paper proposes an environment-dependent vehicle dynamic modelling approach considering interactions between the noisy control input of a dynamic model and the environment in order to make best use of domain knowledge. Based on this modelling, a new domain knowledge-aided moving horizon estimation (DMHE) method is proposed for ground moving target tracking. The proposed method incorporates different types of domain knowledge in the estimation process considering both environmental physical constraints and interaction behaviours between targets and the environment. Furthermore, in order to deal with a data association ambiguity problem of multiple target tracking in a cluttered environment, the DMHE is combined with a multiple hypothesis tracking structure. Numerical simulation results show that the proposed DMHE-based method and its extension could achieve better performance than traditional tracking methods which utilise no domain knowledge or simple physical constraint information only.
Description: This work is licensed under a Creative Commons Attribution 3.0 License. For more information, see http://creativecommons.org/licenses/by/3.0/
Sponsor: This work was supported by the UK Engineering and Physical Sciences Research Council (EPSRC) Grant number EP/K014307/1 and the MOD University Defence Research Collaboration in Signal Processing.
Version: Published
DOI: 10.1109/TSMC.2016.2615188
URI: https://dspace.lboro.ac.uk/2134/22628
Publisher Link: http://dx.doi.org/10.1109/TSMC.2016.2615188
Related Resource: https://dx.doi.org/10.17028/rd.lboro.3969093
ISSN: 2168-2216
Appears in Collections:Published Articles (Aeronautical and Automotive Engineering)

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