Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Sensor fusion for fiducial tags: Highly robust pose estimation from single frame RGBD. Retrieved May 24, 2026, from https://4ort.xyz/entity/sensor-fusion-for-fiducial-tags-highly-robust-pose-estimation-from-single-frame-rgbd
MLA“Sensor fusion for fiducial tags: Highly robust pose estimation from single frame RGBD.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/sensor-fusion-for-fiducial-tags-highly-robust-pose-estimation-from-single-frame-rgbd.
BibTeX@misc{4ortxyz_sensor-fusion-for-fiducial-tags-highly-robust-pose-estimation-from-single-frame-rgbd_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Sensor fusion for fiducial tags: Highly robust pose estimation from single frame RGBD}}, year = {2026}, url = {https://4ort.xyz/entity/sensor-fusion-for-fiducial-tags-highly-robust-pose-estimation-from-single-frame-rgbd}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Sensor fusion for fiducial tags: Highly robust pose estimation from single frame RGBD — https://4ort.xyz/entity/sensor-fusion-for-fiducial-tags-highly-robust-pose-estimation-from-single-frame-rgbd (retrieved 2026-05-24)
