Imperial College London

Professor Peter Y. K. Cheung

Faculty of EngineeringDyson School of Design Engineering

Head of the Dyson School of Design Engineering
 
 
 
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Contact

 

+44 (0)20 7594 6200p.cheung Website

 
 
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Assistant

 

Mrs Wiesia Hsissen +44 (0)20 7594 6261

 
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Location

 

910BElectrical EngineeringSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@inproceedings{Chau:2012:10.1109/FPL.2012.6339271,
author = {Chau, TCP and Luk, W and Cheung, PYK and Eele, A and Maciejowski, J},
doi = {10.1109/FPL.2012.6339271},
pages = {527--530},
title = {Adaptive sequential Monte Carlo approach for real-time applications},
url = {http://dx.doi.org/10.1109/FPL.2012.6339271},
year = {2012}
}

RIS format (EndNote, RefMan)

TY  - CPAPER
AB - This paper presents an adaptive Sequential Monte Carlo approach for real-time applications. Sequential Monte Carlo method is employed to estimate the states of dynamic systems using weighted particles. The proposed approach reduces the run-time computation complexity by adapting the size of the particle set. Multiple processing elements on FPGAs are dynamically allocated for improved energy efficiency without violating real-time constraints. A robot localisation application is developed based on the proposed approach. Compared to a non-adaptive implementation, the dynamic energy consumption is reduced by up to 70% without affecting the quality of solutions. © 2012 IEEE.
AU - Chau,TCP
AU - Luk,W
AU - Cheung,PYK
AU - Eele,A
AU - Maciejowski,J
DO - 10.1109/FPL.2012.6339271
EP - 530
PY - 2012///
SP - 527
TI - Adaptive sequential Monte Carlo approach for real-time applications
UR - http://dx.doi.org/10.1109/FPL.2012.6339271
ER -