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Particle filter is a powerful tool for visual tracking based on Sequential Monte Carlo framework. However,it is faced with a fatal problem due to its suboptimal sampling mechanism in the importance sampling process and thus leads to the well-know sample impoverishment problem. Although last decade people have developed a lot resampling schemes to solve this problem, no one can be suitable for all...
Odor source localization is very important in real-world applications. We studied the problem of odor source localization and presented a modified particle swarm optimization algorithm for odor source localization of multi-robot. The algorithm dynamically adjusts two learning factors in the velocity update equation based on the effect of wind on self-cognition and social cognition of a particle. In...
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