Clustering candidate poses from landmark pairs keeps humanoid soccer robot localization accurate under heavy false landmark detections.
Vision-based monte- carlo localization for humanoid soccer robots,
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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.