Global Optimality of Pose Graph Optimization
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Source roundup from published reports. Claims below are attributed to their publishers, not independently verified. arXiv Robotics — research abstracts: Global Optimality in Pose Graph Optimization. This study proves PGO's global optimality under noise bounds. It identifies a basin of attraction and shows noise-controlled criteria ensure unique global minimizers. Simulations validate the theoretical results.
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- arXiv Robotics — research abstractsGlobal Optimality in Pose Graph Optimization
This study proves PGO's global optimality under noise bounds. It identifies a basin of attraction and shows noise-controlled criteria ensure unique global minimizers. Simulations validate the theoretical results.
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