Home ›
Entities
› academia
› Estimating the spatial-temporal distribution of urban street ponding levels from surveillance videos based on computer vision
Estimating the spatial-temporal distribution of urban street ponding levels from surveillance videos based on computer vision
Estimating the spatial-temporal distribution of urban street ponding levels from surveillance videos based on computer vision
Summary
Estimating the spatial-temporal distribution of urban street ponding levels from surveillance videos based on computer vision is a scholarly article[1].
Key Facts
Estimating the spatial-temporal distribution of urban street ponding levels from surveillance videos based on computer vision's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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). Estimating the spatial-temporal distribution of urban street ponding levels from surveillance videos based on computer vision. Retrieved May 24, 2026, from https://4ort.xyz/entity/estimating-the-spatial-temporal-distribution-of-urban-street-ponding-levels-from-surveillance-videos-based-on-computer-v
MLA“Estimating the spatial-temporal distribution of urban street ponding levels from surveillance videos based on computer vision.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/estimating-the-spatial-temporal-distribution-of-urban-street-ponding-levels-from-surveillance-videos-based-on-computer-v.
BibTeX@misc{4ortxyz_estimating-the-spatial-temporal-distribution-of-urban-street-ponding-levels-from-surveillance-videos-based-on-computer-v_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Estimating the spatial-temporal distribution of urban street ponding levels from surveillance videos based on computer vision}}, year = {2026}, url = {https://4ort.xyz/entity/estimating-the-spatial-temporal-distribution-of-urban-street-ponding-levels-from-surveillance-videos-based-on-computer-v}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Estimating the spatial-temporal distribution of urban street ponding levels from surveillance videos based on computer vision — https://4ort.xyz/entity/estimating-the-spatial-temporal-distribution-of-urban-street-ponding-levels-from-surveillance-videos-based-on-computer-v (retrieved 2026-05-24)
