2012 · 10 citations · 11 references
ComputingAutomotive EngineeringComputer ScienceAutonomous VehiclesSensor FusionVehicle DynamicsData AssociationKalman FilteringMultisensor Data IntegrationState EstimationState-space ModelsExistence ConditionsFilteringFiltering TheoryJoint Probabilistic Data AssociationJoint State EstimationMulti-sensor Data FusionMulti-sensor FusionProbabilistic Data Association
This paper addresses the problem of joint state and existence estimation in the presence of temporally asynchronous measurements. In multi-sensor fusion, the problem can occur that measurements from different sensors can arrive at the processing unit out of sequence, i.e., the original temporal order of the measurements is lost. For the first time, the influence of these out-of-sequence measurements on state estimation as well as on existence estimation is examined. The existence probabilities are estimated via the Joint Integrated Probabilistic Data Association Filter (JIPDA) [17]. Two different methods to deal with out-of-sequence measurements in JIPDA are described and compared. It is shown that the handling of out-of-sequence measurements has a considerable influence not only on state, but also on existence estimation.
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Joint Integrated Probabilistic Data Association - JIPDA
Darko Mušicki, Robin J. Evans · 2003 · 76 citations
Precise timestamping and temporal synchronization in multi-sensor fusion
Tobias Huck, Antje Westenberger, Martin Fritzsche et al. · 2011 · 39 citations