Imperial College London

Professor Peter Y. K. Cheung

Faculty of EngineeringDyson School of Design Engineering

Head of the Dyson School of Design Engineering



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




Mrs Wiesia Hsissen +44 (0)20 7594 6261




910BElectrical EngineeringSouth Kensington Campus






BibTex format

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 = {},
year = {2012}

RIS format (EndNote, RefMan)

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 -
ER -