Semantic information has started to be used in localization methods to introduce a non-geometric distinction in the environment. However, efficient ways to integrate this information remain a question. We propose an approach for fusing data from different object classes by analyzing the posterior for each object class to improve robustness and accuracy for self-localization. posterior analysis.
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Dr. Irem Uygur 