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Accelerating the single cluster PHD filter with a GPU implementation
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Lee, Chee Sing, Franco, Jose, Houssineau, Jeremie and Clark, Daniel (2014) Accelerating the single cluster PHD filter with a GPU implementation. In: The 2014 International Conference on Control, Automation and Information Sciences (ICCAIS 2014), Gwangju, South Korea, 2-5 Dec 2014 pp. 53-58. doi:10.1109/ICCAIS.2014.7020567
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Official URL: http://dx.doi.org/10.1109/ICCAIS.2014.7020567
Abstract
The SC-PHD filter is an algorithm which was designed to solve a class of multiple object estimation problems where it is necessary to estimate the state of a single-target parent process, in addition to estimating the state of a multi-object population which is conditioned on it. The filtering process usually employs a number of particles to represent the parent process, coupled each with a conditional PHD filter, which is computationally burdensome. In this article, an implementation is described which exploits the parallel nature of the filter to obtain considerable speed-up with the help of a GPU. Several considerations need to be taken into account to make efficient use of the GPU, and these are also described here.
Item Type: | Conference Item (Paper) | ||||
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Divisions: | Faculty of Science, Engineering and Medicine > Science > Statistics | ||||
Publisher: | IEEE | ||||
Book Title: | The 2014 International Conference on Control, Automation and Information Sciences (ICCAIS 2014) | ||||
Official Date: | 2014 | ||||
Dates: |
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Page Range: | pp. 53-58 | ||||
DOI: | 10.1109/ICCAIS.2014.7020567 | ||||
Status: | Peer Reviewed | ||||
Publication Status: | Published | ||||
Access rights to Published version: | Restricted or Subscription Access | ||||
Conference Paper Type: | Paper | ||||
Title of Event: | The 2014 International Conference on Control, Automation and Information Sciences (ICCAIS 2014) | ||||
Type of Event: | Conference | ||||
Location of Event: | Gwangju, South Korea | ||||
Date(s) of Event: | 2-5 Dec 2014 |
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