Name
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 mult-iobject 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 in to account to make efficient use of the GPU, and these are also described here. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/ICCAIS.2014.7020567 | ICCAIS |
Field | DocType | ISSN |
Population,Computer science,Parallel computing,Filter (signal processing),Exploit,Control engineering,Computational science,Parent process,General-purpose computing on graphics processing units | Conference | 2475-7896 |
Citations | PageRank | References |
2 | 0.39 | 4 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chee Sing Lee | 1 | 34 | 2.73 |
| Jose Franco | 2 | 5 | 0.77 |
| Jeremie Houssineau | 3 | 34 | 9.57 |
| Daniel E. Clark | 4 | 360 | 36.76 |