Clustering candidate poses from landmark pairs keeps humanoid soccer robot localization accurate under heavy false landmark detections.
Enhancing adultsize humanoid localization accuracy: A vision-based amcl leveraging object detection model and hungarian algorithm,
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CLAP: Clustering to Localize Across n Possibilities, A Simple, Robust Geometric Approach in the Presence of Symmetries
Clustering candidate poses from landmark pairs keeps humanoid soccer robot localization accurate under heavy false landmark detections.