Toward Consistent and Efficient Map-Based Visual-Inertial Localization: Theory Framework and Filter Design

Research article (IEEE Transactions on Robotics, 2023) · cited 21× · AI/ML
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Toward Consistent and Efficient Map-Based Visual-Inertial Localization: Theory Framework and Filter Design

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Toward Consistent and Efficient Map-Based Visual-Inertial Localization: Theory Framework and Filter Design is a scholarly article[1].

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  • Toward Consistent and Efficient Map-Based Visual-Inertial Localization: Theory Framework and Filter Design's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Toward Consistent and Efficient Map-Based Visual-Inertial Localization: Theory Framework and Filter Design. Retrieved May 24, 2026, from https://4ort.xyz/entity/toward-consistent-and-efficient-map-based-visual-inertial-localization-theory-framework-and-filter-design
MLA “Toward Consistent and Efficient Map-Based Visual-Inertial Localization: Theory Framework and Filter Design.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/toward-consistent-and-efficient-map-based-visual-inertial-localization-theory-framework-and-filter-design.
BibTeX @misc{4ortxyz_toward-consistent-and-efficient-map-based-visual-inertial-localization-theory-framework-and-filter-design_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Toward Consistent and Efficient Map-Based Visual-Inertial Localization: Theory Framework and Filter Design}}, year = {2026}, url = {https://4ort.xyz/entity/toward-consistent-and-efficient-map-based-visual-inertial-localization-theory-framework-and-filter-design}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Toward Consistent and Efficient Map-Based Visual-Inertial Localization: Theory Framework and Filter Design — https://4ort.xyz/entity/toward-consistent-and-efficient-map-based-visual-inertial-localization-theory-framework-and-filter-design (retrieved 2026-05-24)

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