Novel Parameterization for Gauss–Newton Methods in 3-D Pose Graph Optimization

Research article (IEEE Transactions on Robotics, 2020) · cited 11× · AI/ML
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Novel Parameterization for Gauss–Newton Methods in 3-D Pose Graph Optimization

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Novel Parameterization for Gauss–Newton Methods in 3-D Pose Graph Optimization is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Novel Parameterization for Gauss–Newton Methods in 3-D Pose Graph Optimization. Retrieved May 24, 2026, from https://4ort.xyz/entity/novel-parameterization-for-gaussnewton-methods-in-3-d-pose-graph-optimization
MLA “Novel Parameterization for Gauss–Newton Methods in 3-D Pose Graph Optimization.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/novel-parameterization-for-gaussnewton-methods-in-3-d-pose-graph-optimization.
BibTeX @misc{4ortxyz_novel-parameterization-for-gaussnewton-methods-in-3-d-pose-graph-optimization_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Novel Parameterization for Gauss–Newton Methods in 3-D Pose Graph Optimization}}, year = {2026}, url = {https://4ort.xyz/entity/novel-parameterization-for-gaussnewton-methods-in-3-d-pose-graph-optimization}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Novel Parameterization for Gauss–Newton Methods in 3-D Pose Graph Optimization — https://4ort.xyz/entity/novel-parameterization-for-gaussnewton-methods-in-3-d-pose-graph-optimization (retrieved 2026-05-24)

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