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Diverse Complexity Measures for Dataset Curation in Self-Driving

Research article (2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021) · cited 11× · AI/ML
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Diverse Complexity Measures for Dataset Curation in Self-Driving

Summary

Diverse Complexity Measures for Dataset Curation in Self-Driving is a scholarly article[1].

Key Facts

  • Diverse Complexity Measures for Dataset Curation in Self-Driving's instance of is recorded as scholarly article[2].

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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). Diverse Complexity Measures for Dataset Curation in Self-Driving. Retrieved May 24, 2026, from https://4ort.xyz/entity/diverse-complexity-measures-for-dataset-curation-in-self-driving
MLA “Diverse Complexity Measures for Dataset Curation in Self-Driving.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/diverse-complexity-measures-for-dataset-curation-in-self-driving.
BibTeX @misc{4ortxyz_diverse-complexity-measures-for-dataset-curation-in-self-driving_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Diverse Complexity Measures for Dataset Curation in Self-Driving}}, year = {2026}, url = {https://4ort.xyz/entity/diverse-complexity-measures-for-dataset-curation-in-self-driving}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Diverse Complexity Measures for Dataset Curation in Self-Driving — https://4ort.xyz/entity/diverse-complexity-measures-for-dataset-curation-in-self-driving (retrieved 2026-05-24)

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