Advances in estimating pedestrian measures through artificial intelligence: From data sources, computer vision, video analytics to the prediction of crash frequency

Research article (Computers Environment and Urban Systems, 2023) · cited 24× · AI/ML
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Advances in estimating pedestrian measures through artificial intelligence: From data sources, computer vision, video analytics to the prediction of crash frequency

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Advances in estimating pedestrian measures through artificial intelligence: From data sources, computer vision, video analytics to the prediction of crash frequency is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Advances in estimating pedestrian measures through artificial intelligence: From data sources, computer vision, video analytics to the prediction of crash frequency. Retrieved May 24, 2026, from https://4ort.xyz/entity/advances-in-estimating-pedestrian-measures-through-artificial-intelligence-from-data-sources-computer-vision-video-analy
MLA “Advances in estimating pedestrian measures through artificial intelligence: From data sources, computer vision, video analytics to the prediction of crash frequency.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/advances-in-estimating-pedestrian-measures-through-artificial-intelligence-from-data-sources-computer-vision-video-analy.
BibTeX @misc{4ortxyz_advances-in-estimating-pedestrian-measures-through-artificial-intelligence-from-data-sources-computer-vision-video-analy_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Advances in estimating pedestrian measures through artificial intelligence: From data sources, computer vision, video analytics to the prediction of crash frequency}}, year = {2026}, url = {https://4ort.xyz/entity/advances-in-estimating-pedestrian-measures-through-artificial-intelligence-from-data-sources-computer-vision-video-analy}, note = {Accessed: 2026-05-24}}
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