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Robot Localization in Tunnels: Combining Discrete Features in a Pose Graph Framework

Research article (Sensors, 2022) · cited 10× · AI/ML
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Robot Localization in Tunnels: Combining Discrete Features in a Pose Graph Framework

Summary

Robot Localization in Tunnels: Combining Discrete Features in a Pose Graph Framework is a scholarly article[1].

Key Facts

  • Robot Localization in Tunnels: Combining Discrete Features in a Pose Graph Framework's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Robot Localization in Tunnels: Combining Discrete Features in a Pose Graph Framework. Retrieved May 24, 2026, from https://4ort.xyz/entity/robot-localization-in-tunnels-combining-discrete-features-in-a-pose-graph-framework
MLA “Robot Localization in Tunnels: Combining Discrete Features in a Pose Graph Framework.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/robot-localization-in-tunnels-combining-discrete-features-in-a-pose-graph-framework.
BibTeX @misc{4ortxyz_robot-localization-in-tunnels-combining-discrete-features-in-a-pose-graph-framework_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Robot Localization in Tunnels: Combining Discrete Features in a Pose Graph Framework}}, year = {2026}, url = {https://4ort.xyz/entity/robot-localization-in-tunnels-combining-discrete-features-in-a-pose-graph-framework}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Robot Localization in Tunnels: Combining Discrete Features in a Pose Graph Framework — https://4ort.xyz/entity/robot-localization-in-tunnels-combining-discrete-features-in-a-pose-graph-framework (retrieved 2026-05-24)

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