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This paper aims at presenting a solution to the Simultaneous Localization and Mapping (SLAM) problem of Unmanned Ground Vehicles (UGV) by combining information given by an odometer and a laser range finder. The most popular solutions to the SLAM problem are EKF-SLAM and the FAST-SLAM algorithms. The first one solution, have some important limitations which have need of an accurate process and an observation...
Filtering strategies play an important role in estimation theory, and are used to extract knowledge of the true states typically from noisy measurements or observations made of the system. This paper describes a novel approach that combines the information given by an odometer and a laser range finder sensors to efficiently solve the Simultaneous Localization and Mapping (SLAM) problem of the Unmanned...
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