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Preprint Sep 2026

Semantic SLAM in Precision Agriculture using Bayesian Inference

This paper presents a real-time semantic world modeling framework specialized for precision agriculture using autonomous robots. The framework combines probabilistic mapping of objects and their semantic attributes, updated through Bayesian inference, with a graph-based Simultaneous Localization and Mapping (SLAM) appr...

R. Beumer, S. Doodeman, R. van de Molengraft et al. · 0 citations

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