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A Vision-based Approach for Unmanned Aerial Vehicles to Track Industrial Pipes for Inspection Tasks

Research article (2023 International Conference on Unmanned Aircraft Systems (ICUAS), 2023) · cited 13× · AI/ML
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A Vision-based Approach for Unmanned Aerial Vehicles to Track Industrial Pipes for Inspection Tasks

Summary

A Vision-based Approach for Unmanned Aerial Vehicles to Track Industrial Pipes for Inspection Tasks is a scholarly article[1].

Key Facts

  • A Vision-based Approach for Unmanned Aerial Vehicles to Track Industrial Pipes for Inspection Tasks's instance of is recorded as scholarly article[2].

Related Entities

Fabio Ruggiero

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). A Vision-based Approach for Unmanned Aerial Vehicles to Track Industrial Pipes for Inspection Tasks. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-vision-based-approach-for-unmanned-aerial-vehicles-to-track-industrial-pipes-for-inspection-tasks
MLA “A Vision-based Approach for Unmanned Aerial Vehicles to Track Industrial Pipes for Inspection Tasks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-vision-based-approach-for-unmanned-aerial-vehicles-to-track-industrial-pipes-for-inspection-tasks.
BibTeX @misc{4ortxyz_a-vision-based-approach-for-unmanned-aerial-vehicles-to-track-industrial-pipes-for-inspection-tasks_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Vision-based Approach for Unmanned Aerial Vehicles to Track Industrial Pipes for Inspection Tasks}}, year = {2026}, url = {https://4ort.xyz/entity/a-vision-based-approach-for-unmanned-aerial-vehicles-to-track-industrial-pipes-for-inspection-tasks}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A Vision-based Approach for Unmanned Aerial Vehicles to Track Industrial Pipes for Inspection Tasks — https://4ort.xyz/entity/a-vision-based-approach-for-unmanned-aerial-vehicles-to-track-industrial-pipes-for-inspection-tasks (retrieved 2026-05-24)

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