Tracking for moving object using adaptive Rao-Blackwellized particle filter and fuzzy control system


The Kalman filtering as a recursive linear estimator is inadequate when applying to non-Gaussian densities and multimodal. Particle Filters sampling in high-dimensional spaces can be inefficient. The use of Rao-Blackwellized particle filters can drastically reduce the size of the space over which we need to sample. In this paper, we proposed an efficient… (More)