  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.
