Memorias de investigación
Artículos en revistas:
A new approach to map-assisted Bayesian tracking filtering
Año:2019
Áreas de investigación
  • Tecnología electrónica y de las comunicaciones
Datos
Descripción
This paper presents a new non-linear filter designed to track targets following a road network, taking advantage of the road map information. The algorithm is based on a Bayesian Multiple Hypotheses modelling of movement process, postulating and evaluating different hypotheses on the segments being followed by the target after road junctions. Then, the along-road tracking is carried out, for each hypothesis, by a longitudinal IMM filter capable of tracking target movements along straight roads, circular segments, and generic curvilinear segments defined through Bézier curves. The algorithm also includes a lateral drift estimator, which tracks the lateral motion of the target with respect to road axis, to be able to estimate target piloting error and especially to track targets in wide roads. The paper completely describes the filter and associated measurement preprocessing procedures, and also includes a comparative evaluation of the proposed filter with other filtering methods in the literature.
Internacional
Si
JCR del ISI
Si
Título de la revista
Information Fusion
ISSN
1566-2535
Factor de impacto JCR
5,667
Información de impacto
Datos JCR del año 2016
Volumen
45
DOI
10.1016/j.inffus.2018.01.002
Número de revista
Desde la página
79
Hasta la página
95
Mes
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Participantes
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  • Creador: Centro o Instituto I+D+i: Centro de I+d+i en Procesado de la Información y Telecomunicaciones