Extracting Built Environment Features for Planning Research with Computer Vision: A Review and Discussion of State-of-the-Art Approaches

Hao Sheng; Meiqing Li

arxiv: 2201.12693 · v2 · pith:X7MGTIZQ · submitted 2022-01-30 · cs.CV · cs.CY

Extracting Built Environment Features for Planning Research with Computer Vision: A Review and Discussion of State-of-the-Art Approaches

Meiqing Li , Hao Sheng This is my paper

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keywords planningcomputerapproachesbuiltenvironmentfeaturesresearchreview

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This is an extended abstract for a presentation at The 17th International Conference on CUPUM - Computational Urban Planning and Urban Management in June 2021. This study presents an interdisciplinary synthesis of the state-of-the-art approaches in computer vision technologies to extract built environment features that could improve the robustness of empirical research in planning. We discussed the findings from the review of studies in both planning and computer science.

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Extracting Built Environment Features for Planning Research with Computer Vision: A Review and Discussion of State-of-the-Art Approaches

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