Grid based PHD filtering by Fast Fourier Transform
ZHANG, Huilong
Institut de Mathématiques de Bordeaux [IMB]
Quality control and dynamic reliability [CQFD]
Institut de Mathématiques de Bordeaux [IMB]
Quality control and dynamic reliability [CQFD]
ZHANG, Huilong
Institut de Mathématiques de Bordeaux [IMB]
Quality control and dynamic reliability [CQFD]
< Leer menos
Institut de Mathématiques de Bordeaux [IMB]
Quality control and dynamic reliability [CQFD]
Idioma
en
Communication dans un congrès
Este ítem está publicado en
14th International Conference on Fusion, 2011-07-05, Chicago. 2011-07
Resumen en inglés
We propose an approach to calculate the Probability Hypothesis Density function on a numerical grid by using a method based on the convolution theorem and Fast Fourier transform. This approach provides a representation of ...Leer más >
We propose an approach to calculate the Probability Hypothesis Density function on a numerical grid by using a method based on the convolution theorem and Fast Fourier transform. This approach provides a representation of the PHD over a discretized domain and, unlike other techniques, does not require Gaussian assumptions on the target and observation model. By using the Fast Fourier Transform it results reasonably competitive in comparison to existing implementations, especially in low dimensional state spaces.< Leer menos
Palabras clave en inglés
Multi-Target Tracking
Probability Hypothesis Filter
Convolution PHD Filter
Orígen
Importado de HalCentros de investigación