eCDT: Event Clustering for Simultaneous Feature Detection and Tracking

Research article (2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022) · cited 23× · AI/ML
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eCDT: Event Clustering for Simultaneous Feature Detection and Tracking

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eCDT: Event Clustering for Simultaneous Feature Detection and Tracking is a scholarly article[1].

Key Facts

  • eCDT: Event Clustering for Simultaneous Feature Detection and Tracking's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). eCDT: Event Clustering for Simultaneous Feature Detection and Tracking. Retrieved May 24, 2026, from https://4ort.xyz/entity/ecdt-event-clustering-for-simultaneous-feature-detection-and-tracking
MLA “eCDT: Event Clustering for Simultaneous Feature Detection and Tracking.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/ecdt-event-clustering-for-simultaneous-feature-detection-and-tracking.
BibTeX @misc{4ortxyz_ecdt-event-clustering-for-simultaneous-feature-detection-and-tracking_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{eCDT: Event Clustering for Simultaneous Feature Detection and Tracking}}, year = {2026}, url = {https://4ort.xyz/entity/ecdt-event-clustering-for-simultaneous-feature-detection-and-tracking}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): eCDT: Event Clustering for Simultaneous Feature Detection and Tracking — https://4ort.xyz/entity/ecdt-event-clustering-for-simultaneous-feature-detection-and-tracking (retrieved 2026-05-24)

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