 In such situations, the particle filter can give better performance than parametric filters.Another non-parametric approach to Markov localization is the grid-based localization, which uses a histogram to represent the belief distribution.Compared with the grid-based approach, the Monte Carlo localization is more accurate because the state represented in samples is not discretized.