Stochastic Bayesian estimation using efficient particle filters for vehicle tracking applications
The central focus of our work is on designing particle filters which use more efficiently their particles by seeding them instate space areas with greater significance and/or by varying their number. We begin by introducing the auxiliary local linearization particle filter (ALLPF) whose importance s...
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University of Edinburgh
2006
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| Online Access: | http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.653563 |