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Particle filter

Known as: Particle filters, Sequential importance resampling, Sequential Monte Carlo methods 
Particle filters or Sequential Monte Carlo (SMC) methods are a set of genetic-type particle Monte Carlo methodologies to solve the filtering problem… 
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Papers overview

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2019
2019
At present, urban computing and intelligence has become an important topic in the research field of artificial intelligence. On… 
Highly Cited
2011
Highly Cited
2011
For most multi-target tracking applications it is assumed that the movements of the objects are independent of each other. The… 
Highly Cited
2005
Highly Cited
2005
Acquiring models of the environment belongs to the fundamental tasks of mobile robots. In the past, several researchers have… 
Highly Cited
2004
Highly Cited
2004
This paper addresses the problem of coordinating multiple heterogeneous sensing platforms performing a search mission for a… 
Review
2000
Highly Cited
1997
Highly Cited
1991
Highly Cited
1987
Highly Cited
1987
This paper analyzes the stability and performance of pitch filters in speech coding when pitch prediction is combined with… 
Highly Cited
1983
Highly Cited
1983