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1. Application of new particle-based solutions to the Simultaneous Localization and Mapping (SLAM) problem
University essay from KTH/Matematisk statistikAbstract : In this thesis, we explore novel solutions to the Simultaneous Localization and Mapping (SLAM) problem based on particle filtering and smoothing methods. In essence, the SLAM problem constitutes of two interdependent tasks: map building and tracking. Three solution methods utilizing different smoothing techniques are explored. READ MORE
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