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]
< Reduce
Institut de Mathématiques de Bordeaux [IMB]
Quality control and dynamic reliability [CQFD]
Language
en
Communication dans un congrès
This item was published in
14th International Conference on Fusion, 2011-07-05, Chicago. 2011-07
English Abstract
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 ...Read more >
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.Read less <
English Keywords
Multi-Target Tracking
Probability Hypothesis Filter
Convolution PHD Filter
Origin
Hal imported