Multitarget Tracking With Multiple Models and Visibility: Derivation and Verification on Maritime Radar Data
Edmund Brekke, Audun Gullikstad Hem, Lars-Christian Ness Tokle
Abstract
In this article, we demonstrate how a variation of the joint integrated probabilistic data association with interacting multiple models and a visibility state can be derived as a special case of the Poisson multi-Bernoulli mixture filter with a hybrid state representation and standard approximations. The proposed method is tested on two radar data sets that were recorded during maritime collision-avoidance experiments.
Topics & Concepts
VisibilityRadar trackerComputer scienceRepresentation (politics)RadarFilter (signal processing)Poisson distributionProbabilistic logicSensor fusionTracking (education)State (computer science)Bernoulli's principleAlgorithmComputer visionRemote sensingArtificial intelligenceMathematicsTelecommunicationsGeographyEngineeringStatisticsAerospace engineeringMeteorologyLawPedagogyPsychologyPolitical sciencePoliticsTarget Tracking and Data Fusion in Sensor NetworksMaritime Navigation and SafetyFault Detection and Control Systems