A method for discrete self-localization using image analysis

A method for discrete self-localization of an autonomous mobile system was proposed. One of its many possible implementations was designed, that uses a camera subsystem, which delivers sensor information about the environment reduced to an n-elementary measurement vector. Three different algorithms of image analysis were proposed and implemented. The self-localization approach with three different image sub-systems was tested by computer simulations on different natural and synthetic scenes.