Flastlam algorithm uses the particle filter approach to the SLAM problem. It maintains a collection of particles. These particles comprise a map and the sampled robot path. Own local Gaussian represents the features of the map. A separate set of Gaussians Map features is created, which constitute the map. The Gaussians Map features are independent of the conditions.


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